Tag Archive for: Product Development & Management Page 3
Tag Archive for: Product Development & Management
Jama Software Announces Jama Connect Solution for Semiconductors for Developing Complex Products and Systems Faster without Compromising Quality
Streamline and Accelerate Semiconductor Product Development with Jama Connect
Jama Software, the industry-leading requirements management and traceability solution provider, has released a semiconductor solution for fabless design companies, IDMs, and companies in other semiconductor industry sectors. With increased product complexity challenges and rapidly changing industry landscape, semiconductor companies are facing competitive pressures related to growth and profitability that require development speed and product quality.
Jama Connect for Semiconductors is a custom-built solution pre-configured for common use cases for rapid adoption, accompanied by a Procedure Guide that provides simple process descriptions from initial stakeholder MRD and System level PRDs through validation and verification. This framework enables semiconductor companies to create scalable, consistent, and repeatable processes for bringing innovative high-quality products to market quicker, navigating product variations, and better serving their customers.
“For semiconductor companies facing ever increasing complexity of silicon products plus the need to align software deliverables that must be available at launch, the traditional hardware-centric approach of product definition and development is no longer viable,” stated Neil Stroud, GM, Semiconductors, at Jama Software. “Without Live Traceability™ across tools and engineering disciplines and the controlled coordination it establishes, semiconductor companies will continue to experience significant rework and respins, quality impacts, increased costs, and product delays.”
With effective requirements management and Live Traceability™ of Jama Connect, semiconductor companies can easily manage new product requirements from ideation through to implementation, enhancement, and revisions — enabling them to maximize development efficiency, accelerate speed to market, and meet regulatory or audit requirements.
To learn more about how Jama Connect for Semiconductor can help accelerate product development throughout your ecosystem, download the datasheet, or click here to speak with one of our experts and book a free trial.
Media Contact:
Mario Maldari
Director, Product and Solution Marketing, Jama Software
Jama Software is focused on maximizing innovation success in multidisciplinary engineering organizations. Numerous firsts for humanity in fields such as fuel cells, electrification, space, software-defined vehicles, surgical robotics, and more all rely on Jama Connect requirements management software to minimize the risk of defects, rework, cost overruns, and recalls. Using Jama Connect, engineering organizations can now intelligently manage the development process by leveraging Live Traceability™ across best-of-breed tools to measurably improve outcomes. Our rapidly growing customer base spans the automotive, medical device, life sciences, semiconductor, aerospace & defense, industrial manufacturing, consumer electronics, financial services, and insurance industries. To learn more, visit us at jamasoftware.com.
2026 Predictions for Consumer Electronics Product Development: AI, Sustainability, and the Rise of Connected Ecosystems
As we move closer to 2026, product development feels more like an evolving journey full of fresh ideas, new challenges, and real opportunities to create something better.
To kick off our annual predictions series, we turned to our own expert, Patrick Garman – Manager, Solutions & Consulting, Jama Software, for his take on what’s around the corner in the world of Consumer Electronics. If there’s one thing that stands out, it’s how fast everything is changing. New technologies are always pushing the boundaries of how products are dreamed up, built, and experienced.
In part one of this series, Patrick dives into how AI is shaking up the design process, why making products more sustainable and built to last matters more than ever, and how connected ecosystems are rewiring our expectations. He also tackles big-picture topics like data privacy and the need to build stronger, more adaptable supply chains.
Keep reading as Patrick takes a closer look at where consumer electronics might be headed, from the latest tech breakthroughs to the real-life hurdles and wins shaping the industry’s next chapter.
Q: What emerging technologies (e.g., edge computing, IoT, AI-driven automation, smart materials) will most transform the electronics industry in the next five years? How should companies prepare to adapt and innovate?
Patrick Garman: The next five years will be transformative for the electronics industry with innovations like modular chips, Edge AI, and AI driven engineering as the principal drivers.
Historically, chip performance has depended on how many transistors can fit onto a single die, and we are near a physical limit on this approach. Luckily, UCIe (Universal Chiplet Interconnect Express) open standard allows designers to mix and match process nodes, IP, and vendors to build tailor-made systems faster and cheaper.
Edge AI is moving intelligence and inference closer to the source of data – in the actual device. With neural processing units (NPUs) and advances in connectivity like WIFI 7 and 5G-Advanced, devices can perform sophisticated inference in real time. Consider Apple Intelligence, which runs most operations locally, only connecting to data centers or external services as needed. Edge AI means lower latency, better data privacy, and less dependence on cloud bandwidth – meaning smarter, more responsive products. For manufacturers, this also enables predictive maintenance, adaptive control, and more efficient energy use.
And finally, AI not just as a feature but as a collaborator in the design process. AI-assisted electronic design automation (EDA) is already accelerating design cycles, with early adopters reporting 2-3x productivity gains and faster time to market, often with improved design quality. These systems can learn from thousands of past layouts and simulations to guide engineers toward optimal designs faster than human intuition alone, and we are not far from reliable agentic design flows, where an AI model coordinates the entire toolchain, from schematics to verifications, autonomously.
Ultimately, competitive differentiation will no longer be based on performance and cost, but on how quickly and intelligently companies can adapt.
Sustainability and Circular Design
Q: How are sustainability initiatives—like reducing e-waste, improving recyclability, and minimizing carbon footprint—shaping product development and manufacturing strategies? What practices will define leaders in this space?
Garman: Sustainability is really starting to change how consumer electronics are designed and made. Companies are starting to think about how to make products that last longer and create less waste. That means designing things that are easier to repair or upgrade, using recycled materials, and finding ways to take apart and reuse components when a product reaches the end of its life. Some manufacturers are even rethinking how circuit boards are built so the parts can be separated more easily for recycling. On the production side, many are switching to cleaner energy sources and trying to reduce packaging and transportation emissions.
For a long time, sustainability has been more of a social cause, but now regulation is coming that will make sustainability its own requirement for products. The EU seems to be leading this charge with Sustainable Design Regulations and Digital Product Passports. I think savvy companies will be proactive in complying with the EU standards – taking the strictest state approach. In the long run, the brands that focus on making durable, repairable, and responsible products are the ones that will earn the most trust from customers.
Q: How do you see connectivity and data analytics changing the way products are designed, used, and supported? What are the most promising opportunities for delivering value through connected ecosystems?
Garman: One of the biggest benefits is that designers no longer have to rely on assumptions about how products are used – embedded sensors and connected feedback loops provide real-world and real-time observations. This not only shortens design cycles; it reveals new use cases and patterns and supports predictive modeling so that companies can develop more reliable, efficient, and user-centered products.
This connectivity also provides benefits for consumers – over-the-air updates, edge AI, and cloud coordination allow products to adapt to users, optimize performance in context, and anticipate service needs before failures occur. HP’s ink subscription program is a good example – their connected printers track ink supply levels and proactively order replacement cartridges just in time to avoid outages.
The greatest opportunity, though, is to move from individually connected devices to connected ecosystems. When devices, analytics, and digital services share data securely, companies can deliver cross-domain experiences. Smart home hubs are just scratching the surface in terms of automation – they are still pre-programmed routines that are responsive to conditions rather than predictive or even contextual.
AI and Automation
Q: How is AI transforming design verification, testing, and quality assurance in electronics design and manufacturing? What challenges do companies face in scaling automation while maintaining flexibility?
Garman: Ultimately, AI will transform verification, testing, and quality assurance into intelligent, adaptive processes rather than static checklists. We are already seeing machine learning models that can predict where design flaws are most likely to occur, automatically generate test scenarios (a la Jama Connect AdvisorTM’s Test Case Generation feature currently in beta), and analyze simulation or production data to optimize coverage. This means faster V&V cycles without sacrificing quality – most likely increasing quality over time. Human judgement will not be replaced in our lifetime, but the efficiency gains mean engineers focused on engineering rather than administration and management.
Ethical and Responsible AI
Q: As electronics become more intelligent, how can companies ensure responsible use of AI and protect consumer privacy? What frameworks or standards are most critical for responsible implementation?
Garman: Data stewardship and privacy protection should be core design principles. Ensuring privacy and ethical use begins with transparency, consent, and control – consumers should know when AI is making decisions, what data is being collected, and how it will be used. It’s also incredibly important that AI systems are auditable – you can clearly trace outcomes and prove that they are justifiable, especially in safety-critical or consumer facing applications.
Q: With consumers expecting seamless connectivity, personalization, and sustainability, how do you see these preferences influencing the next generation of products? What innovations will drive brand loyalty?
Garman: Three pillars that influence consumer expectations and brand loyalty are seamless connectivity, meaningful personalization, and visible sustainability. The next generation of products will succeed not by adding more features, but by delivering frictionless, adaptive experiences that feel integrated across devices and ecosystems.
Products will increasingly communicate and learn from one another—phones coordinating with vehicles and wearables, appliances responding to home energy data—creating personalized environments that anticipate needs rather than react to commands. AI and edge computing will make this contextual intelligence local, fast, and privacy-preserving, while modular hardware and software platforms will allow updates and upgrades throughout the product’s life.
Sustainability will also become a defining factor in brand loyalty. Consumers want devices to be designed for longevity and repairability. Companies that combine intelligent design with ethical production—using recycled materials, energy-efficient architectures, and verifiable carbon reporting—will differentiate themselves as trusted, forward-looking brands. Ultimately, successful products will simplify ownership and offer more personal experiences.
Q: What lessons from recent supply chain challenges can the electronics industry apply to improve resilience and reduce dependency on vulnerable regions or components?
Garman: The past few years have shown the electronics industry that running super-lean supply chains can backfire. When the pandemic and chip shortages hit, companies learned the hard way how risky it is to depend on just a few factories, regions, or single-source parts.
The big takeaway is that resilience matters as much as efficiency. Leading manufacturers are now spreading production across multiple regions, qualifying backup suppliers, and designing products that can use alternative components when needed. They’re also using data and digital twins to spot weak links early and plan around potential disruptions instead of reacting after the fact.
Modular products and standardized interfaces make it easier to swap parts or shift suppliers without starting from scratch. Teams are breaking down silos between engineering, procurement, and logistics so they can move faster when problems arise. In short, the focus is shifting from chasing the lowest cost to building smarter, more balanced supply chains—ones that can bend without breaking. Having live traceability from product requirements to parts is key to success.
Cybersecurity in Connected Devices
Q: As the number of connected devices grows, what cybersecurity threats are most pressing for manufacturers and users? How can companies build trust through secure-by-design principles?
Garman: Companies need to move from “add-on” security to secure-by-design thinking. There are probably more smart devices in market today than non-connected devices, making cyber security a top concern for consumers (and thus for companies designing products). The biggest risks come from things like hacked supply chains (where bad code slips in before a product ships), weak passwords or outdated firmware, and unprotected data in transmission.
Secure-by-design means building protection in from the start – using strong encryption, verified software updates, and secure hardware to keep data safe. It also means being clear and transparent with consumers about what data is collected and how it will be used. Conforming to standards like ISO 27001 and the NIST Cybersecurity Framework, and proactive compliance with the EU Cyber Resilience Act or US Cyber Trust Mark demonstrate a commitment to cybersecurity principles and build trust with consumers, but again, transparency is going to be key.
Regulatory and Compliance Challenges
Q: How are global regulations on safety, energy efficiency, and data protection affecting electronics innovation? How can companies balance compliance with speed to market?
Garman: Overall, governments have been slow to keep regulatory pace with technical innovations, but this is rapidly changing. We’re seeing new rules to help make products safer, more energy efficient, and to protect consumer data. Things like the EU’s Cyber Resilience Act or new energy labeling standards are pushing companies to design electronics that are not just clever, but also secure and sustainable. It does make development a bit more complicated, but it’s also forcing better design—like using parts that are easier to recycle, making software more secure, and being upfront about how data is handled.
It’s difficult to achieve compliance – especially when regulations are continually evolving – without sacrificing speed, but that does not mean it’s impossible! The key is to build compliance into your requirements management process so you have traceability from regulatory requirements to your product requirements, so you can show how you are complying, and V&V so that you can prove that you are compliant.
Future Trends
Q: What technological or market trends do you believe will still be shaping the electronics industry in five to ten years? How can companies remain agile and competitive in an era of rapid innovation?
Garman: For companies, staying competitive will mean staying flexible. That means designing products and organizations that can adapt quickly using modular architectures, software-driven features, and strong digital ecosystems that make updates easy. It also means keeping close ties between engineering, supply chain, and compliance teams so they can respond fast when technology or regulations shift. The winners will be the ones that move quickly and keep trust: innovating at speed, but with security, sustainability, and customer experience built in from the start.
Evolving Requirements Engineering: A Framework for the Semiconductor Industry
Unlike other industries, the semiconductor sector has no governing standards or regulations for developing and managing requirements and product data— despite being critical components of products across nearly every regulated industry. This absence makes aligning key methods and practices a critical lever for improving quality, reducing rework, and gaining a competitive edge.
Whether you’re defining your next generation of chips or improving process maturity across design teams, this webinar will help you align, simplify, and elevate your requirements engineering practices.
Advancing Requirements Engineering in Semiconductor
Sarah Gregory: Thanks everybody for joining us today for a discussion about requirements engineering in the semiconductor industry. After over 20 years of tackling challenges of requirements within a semiconductor company myself, it’s really great to be collaborating with the folks at Jama Software on the upcoming launch of a Jama Connect solution that’s tailored for what we do. This webinar is an introduction to that solution, kind of a soft launch of a broader set of resources that will be released in just a couple of weeks, significantly expanding Jama Software’s engagement in a sector in so many ways that’s foundational to industries overall. In this webinar, we’re going to give a brief overview of the current state of semiconductor requirements practice. We’ll talk through some challenges that are common to semiconductor, some are drawn from my own industry experience, but also from outside research publications and collaborations. These challenges may sound familiar to you too. And then we’ll also talk about the value of intentional movement towards aligning product development data practices both within your company and or any specific company, but also for semiconductor overall.
And we’re definitely seeing folks start to pick up on that. These aren’t alignments that a third party data model or a standard is mandating for you either, but practices that have a solid return on investment in your context both financially and in terms of quality and efficiency. Better alignment accelerates time to market and helps you respond effectively to change. A phrase that I found useful working in semiconductor about requirements as well as requirements engineering generally is common enough, not identical, not uniform, not standard even, but common enough practices that an organization or team can coalesce around in order to build some efficiencies in their product development practice. There are many ways to move toward alignment on common enough practices, but we’ll share just a few today and Steve will show you what they look like in practice if you were to choose to try them out using Jama Connect. Steve will also introduce the Jama Connect semiconductor framework that will be launching on December 4th the same day as a Jama Software hosted Digital Engineering Summit in San Jose. We’ll tell you a little bit more about that before we end today too.
And of course, we’re going to take some questions. We may not have time to catch them all in our short time together today, but please do put them in the Q&A. What we don’t get to today we’ll try to tackle over the next few weeks and we’ll make available in the semiconductor area of the Jama Software website. Let’s get started. A key first step in any collaborative engineering activity is to make sure that when you’re using a term, you’ve got a shared understanding of what that term means. When each of you signed up to attend today, you brought your own mental model of what we might mean by semiconductor, so let’s take just a minute to orient on that with the model that Jama Software uses describing eight different categories of companies. Now, this isn’t the only way to represent semiconductor and there are certainly different degrees of difference or commonality among these groupings, so don’t get wrapped around the picture here or those categories, it’s just to let you know that yes, semiconductor as comprehended by Jama Software is a very broad and diverse sector with different data management needs.
Gregory: For example, the requirements for a semiconductor chip, for a chip design, they’re going to different than the requirements for litho and etch equipment to fab that chip. Companies in some of the boxes may also exist in other industry categories and they could be subject to standards in those industries as well, so it’s all a matter of what an individual company does that it informs what information they need to manage and how they need to manage that product data. It’s also possible for two companies or more in the same subsegment to manage their product data in very different ways and then for there to be commonalities in company practices across those lines too. It’s not in the scope of Steve’s and my discussion today to dig into these differences within the segments, much less different data management practices among them. Just know that the work that Jama Software is doing to support requirements engineering and data governance in the semiconductor industry, beginning with this initial release of the new semiconductor solution comprehends the scope.
We have eight categories, a lot of overlap, but just as important so many differences sometimes even within a single company within one of those categories. And it’s those differences, the scope and the breadth of them that is a challenge that in many ways is unique to the semiconductor industry. Several industries, automotive, medical devices, even some areas of oil and gas have prescriptive standards that govern how product data is structured, developed and managed. If you’ve been following Jama Software for a while you’ve possibly noticed a lot of resources that enable companies across those industries to deploy Jama Connect to manage their requirements conforming to those standards. Jama Connect has several predefined traceability information models or data models and specific templates that are purpose-built to accelerate the work of companies that need to meet those standards. In semiconductor, we don’t have such a standard at the point of product definition. You may have your own mental model of the information architecture at your company or at least in the part of the company where you’re working.
And if you happen to work in a standards-adjacent area, for example, your company or the part of the company that you’re in provides devices to automotive, standards that govern the automotive industry may be familiar to you at least for that part of your business. Otherwise, even within the same subsector in semiconductor, you’re going to find a lot of differences, a lot of divergence in how companies may architect their product data. In the absence of prescriptive standards that govern product information architecture a lot of that information architecture has just grown up organically. Now, when you look across semiconductor as a whole you might see some resemblance in some areas, but in others the information to be managed is quite different. No standards, no common regulations, very different products, all leads to a lot of divergence in practice, and that divergence can create drag and inefficiencies. Now, that points to one of the common traits across many companies in the semiconductor industry too.
2026 Predictions Series: Insights from Leading Experts
As we move closer to 2026, product development feels more like an evolving journey than a fixed destination. It is a path full of fresh ideas, complex challenges, and real opportunities to create something better.
This multi-part series cuts through the noise to deliver actionable foresight. We have gathered leading experts to explore the critical shifts defining the next era of innovation. Whether you are looking to pivot your strategy or refine your roadmap, these insights will help you stay ahead of the curve.
Across every industry, we are tracking the threads that connect them all. This series provides a holistic view of the landscape, covering topics such as:
Emerging Technologies
AI and Automation
Ethical and Responsible
Cybersecurity
Regulatory & Compliance
Stay Ahead of the Curve
Predictions will appear below as they are published. Stay tuned to this space for ongoing updates and fresh expert insights as the series unfolds.
2026 Predictions for Consumer Electronics Product Development: AI, Sustainability, and the Rise of Connected Ecosystems
In part one of this series, Patrick dives into how AI is shaking up the design process, why making products more sustainable and built to last matters more than ever, and how connected ecosystems are rewiring our expectations. He also tackles big-picture topics like data privacy and the need to build stronger, more adaptable supply chains.
Keep reading as Patrick takes a closer look at where consumer electronics might be headed, from the latest tech breakthroughs to the real-life hurdles and wins shaping the industry’s next chapter.
2026 Predictions for Medical Device & Life Sciences: AI, Wearables, and Navigating Regulatory Change
With 2026 on the horizon, the medical device and life sciences industries are moving through a landscape defined by fast-paced innovation, changing regulations, and dynamic market shifts.
From the transformative potential of Artificial Intelligence (AI) in product development and diagnostics to the growing role of wearables and personalized medicine, the industry is embracing change while addressing critical challenges like cybersecurity, data privacy, and supply chain resilience.
In part two of this series, we’ve gathered insights from leading experts across the field, including:
Tom Rish, Senior Business Development Manager, Medical Device & Life Sciences
Together, they explore the opportunities and hurdles that lie ahead, offering a glimpse into the future of medical devices and life sciences.
Join us as these experts share their perspectives on the technologies, strategies, and innovations that will define the next chapter of the industry. From AI’s growing influence to the challenges of regulatory harmonization and the rise of wearables and personalized medicine, this piece highlights the trends shaping 2026 and beyond.
2026 Predictions for Aerospace & Defense: AI, Sustainability, and the Digital Transformation Frontier
As we approach 2026, the aerospace and defense (A&D) industry stands at the crossroads of innovation and transformation. With rising geopolitical tensions, increased defense spending, and technological advancements, the sector is navigating a complex landscape of opportunities and challenges.
From the integration of AI and digital twins to the push for sustainable aviation and the modernization of legacy systems, A&D organizations are embracing cutting-edge technologies to enhance efficiency, safety, and mission readiness. At the same time, they face critical hurdles, including supply chain disruptions, evolving regulatory frameworks, and the need to attract a future-ready workforce.
Together, they explore the trends and technologies shaping the future of aerospace and defense. From AI-driven design optimization and autonomous systems to the rise of sustainable aviation fuels and the challenges of digital engineering, this piece highlights the innovations and strategies that will define 2026 and beyond.
Please note: This blog features content from writers in the UK and the US. Spelling variations (e.g., ‘defense’ vs. ‘defence’) may appear due to regional differences.
2026 Predictions for Automotive: AI, Electrification, and the Road to a Connected Future
As 2026 approaches, the automotive industry is about to enter an exciting phase marked by cutting-edge technologies, sustainability requirements, and shifting consumer expectations. The industry is navigating a changing landscape of opportunities and challenges, from the emergence of autonomous driving systems and vehicle-to-everything (V2X) communication to developments in electrification and AI-driven innovation.
The integration of emerging technologies is reshaping vehicles into interconnected, software-defined systems, while sustainability goals are driving rapid advancements in battery technology, charging infrastructure, and renewable energy integration. At the same time, the industry faces critical hurdles, including cybersecurity threats, regulatory complexities, and the need for seamless collaboration across OEMs, suppliers, and technology partners.
Together, they explore the trends and technologies shaping the future of the automotive industry. From AI-driven predictive maintenance and edge computing to the challenges of electrification and the rise of subscription-based ownership models, this piece highlights the innovations and strategies that will define 2026 and beyond.
2026 Predictions for Semiconductors: AI, Chiplets, and the Path to Sustainable Innovation
As we step into 2026, the semiconductor industry stands at the crossroads of unprecedented technological advancements and complex global challenges. From the rise of AI-driven chip design and heterogeneous integration to the growing emphasis on sustainability and geopolitical shifts, the sector is navigating a transformative era.
The next wave of innovation will be defined by breakthroughs in advanced lithography, chiplet architectures, and quantum computing, while sustainability efforts will reshape manufacturing processes to address energy efficiency, water usage, and materials recycling. At the same time, the industry faces critical hurdles, including talent shortages, supply chain realignments, and the need for robust cybersecurity measures.
Together, they explore the trends and technologies shaping the future of semiconductors. From AI-driven automation and edge computing to the challenges of regulatory shifts and the promise of chiplet-based architectures, this piece highlights the innovations and strategies that will define 2026 and beyond.
2026 Predictions for AECO: AI, Digital Twins, and the Path to Sustainable Transformation
As we step into 2026, the Architecture, Engineering, Construction, and Operations (AECO) industry is poised for a transformative leap. From the integration of AI and digital twins to the adoption of robotics and advanced materials, the sector is embracing innovation to tackle its most pressing challenges: sustainability, efficiency, and collaboration in a hybrid world.
This year’s predictions explore how emerging technologies like generative design, predictive analytics, and automation are reshaping the project lifecycle. We’ll dive into the role of advanced digital tools in achieving net-zero goals, the growing importance of cybersecurity in a connected ecosystem, and the long-term trends that will define the industry for years to come.
2026 Predictions for Nuclear Energy: Innovation, Safety, and the Path to a Sustainable Future
The nuclear energy industry stands at a pivotal moment where innovation and tradition intersect to tackle the world’s most urgent challenges: decarbonization, energy security, and sustainability. From the emergence of small modular reactors (SMRs) and advanced reactor designs to the adoption of AI, automation, and digital engineering, the sector is embracing transformative technologies that are set to redefine how nuclear power is designed, operated, and perceived.
Key trends shaping the nuclear landscape include the transition from conceptual innovation to deployable solutions, the role of digitalization in enhancing safety and efficiency, and the evolution of regulatory frameworks to support next-generation technologies. Additionally, cybersecurity, workforce development, and global collaboration are becoming essential pillars of the industry’s future, ensuring that growth and innovation remain firmly grounded in the safety-first principles that define nuclear energy.
In this final blog of the 2026 prediction series, we bring these insights to life with perspectives from Jama Software’s industry expert, Patrick Garman, Solutions Manager for Energy, Industrial, and Consumer Electronics sectors. Patrick shares a forward-looking vision for 2026 and beyond, exploring the deployment of SMRs and advanced fuels, the integration of predictive analytics and real-time monitoring, and the innovations, strategies, and cultural shifts that will shape the nuclear industry’s role in a clean energy future.
In this blog, we recap a preview of our webinar, “Best Practices for Writing Requirements” – Click HERE for the full version.
Discover How to Remove Ambiguity and Improve Development Outcomes
Regardless of what terminology your teams use—”needs,” “features,” or “requirements”—the purpose of good requirements is to create a shared understanding of the promise, functionality, and value of the products you develop across all stakeholders. Ineffective requirements can lead to scope creep, delays, and poor product quality.
Watch our webinar to learn proven methods for writing better requirements to remove ambiguity and improve development outcomes.
In this insightful session, you will learn how to:
Create a simple, systematic, and standardized process that your teams can follow.
Separate requirements from design and establish a clear hierarchy.
Ensure complete traceability of requirements throughout the development lifecycle.
Below is a preview of our webinar. Click HERE for the entire presentation.
Below is an abbreviated transcript of our webinar.
Best Practices for Writing Requirements
Patrick Garman: Hello everyone, let me introduce myself and my co-host. I am Patrick Garman, I’m a Principal Solutions Consultant here at Jama Software, and I work with customers across multiple industries to optimize requirements management practices to help innovators succeed. Before coming to Jama Software, I had 10 years of product development experience and I’ve led teams to successful product launches in soft tech, consumer electronics, logistics, healthcare, government and public sector, and the financial services industries. And now I serve as the services lead for improving requirements quality at Jama Software. Joining me today as well is Danny.
Danny Beerens: Hi. Thank you, Patrick, for introducing me. I’m Danny Beerens, Senior Solution Consultant here at Jama Software, and I will be assisting Patrick today. I have nearly two decades of experience in system engineering, and I have successfully implemented, trained, maintained, and supported application lifecycle management application, specifically requirements management application. Throughout my career, I have worked on projects and collaborated with customers in the medical device, aerospace and defense, automotive, and semiconductor industries.
Beerens: So let’s start off today. Jama Software’s purpose is to help innovators succeed, as Patrick already mentioned. And the key to successful innovation is writing high-quality requirements for your products. We want you to walk away from this session with an understanding of why requirements are important and give you a useful framework from which to build your requirements-authoring skills. Basically, we are setting the groundwork here. We’ll expose you to the challenges in product development as they relate to requirements, and we will talk about how requirements help to bridge communication challenges. We’ll also provide you with important information and tools for authoring better requirements. So helping you write better requirements is why we are here, but what does that matter, why are we really here?
What we want and what I suspect you want too is to build safe and high-quality products, and requirements are an essential element in defining, designing, and developing great products. So yes, we want you to write better requirements, but writing better requirements is a means to a better end, a high-quality safe product, and good requirements also mean getting that great product with hopefully less communication friction, reduced rework, and building a work environment that encourages collaboration, transparency, and focuses on quality.
Beerens: So, let’s start with talking about why requirements are important. Requirements are the building blocks of product development and strong requirements lead to better products. Conversely, vague and unclear requirements cannot only lead to product issues but also to safety concerns. These quotes you see here from the US Food and Drug Administration Design Control Guidelines for Medical Device Manufacturers, and highlight the importance of quality requirement management in delivering safe products to the market. But these justifications for requirements can be applied to any industry or product. Keep in mind, that design control activities are intended to drive quality and safety into the product development process. And here, they are stating that requirements are the foundation to those safety activities.
Of course not all benefits of proper requirements management are related to safety, these also call out the impact to later product development lifecycle activities, finding that missing requirements or even ill-defined requirements can cause expensive redesign and rework, which makes sense considering the later issues are found in the product lifecycle, the more expensive the issue is to resolve, as you’ll need to circle back to previous phases to identify and address the issue at the root, and their impacts along the way. Requirements management activities are a way to avoid these issues from the start, thus reducing rework and redesign, and improving your quality. It also ensures you make the time to market. While the specific regulations and standards may vary, the same requirement management practices and principles are applicable to any industry.
The TrustRadius Buyer’s Choice Award is a prestigious honor in the B2B technology landscape, awarded solely on the basis of verified customer feedback. Rather than relying on analyst opinions, this award represents the voices and experiences of professionals who use Jama Connect every day to deliver high-quality, innovative products across industries. It reflects exceptional customer satisfaction, product momentum, and market relevance.
Earning this award validates our commitment to supporting organizations with solutions that address real-world challenges and deliver measurable value.
Jama Connect continues to set the standard for requirements, risk, and test management by helping teams manage complex engineering projects with clarity and confidence.
Whether enabling product innovation in aerospace and automotive, ensuring compliance in regulated medical fields, or streamlining processes in software development, Jama Connect delivers a collaborative, structured environment for every stage of the development lifecycle.
Key capabilities that set Jama Connect apart include:
Live Traceability™: Teams can maintain real-time visibility across requirements, risks, and test cases to ensure accuracy and compliance.
Streamlined Regulatory Compliance: Pre-built templates and automated tracking simplify adherence to industry standards such as ISO 26262, DO-178C, and FDA regulations.
Collaboration at Scale: Distributed teams benefit from intuitive workflows, a robust review center, real-time commenting, and advanced export options, supporting effective decision-making and seamless stakeholder engagement.
These powerful features empower teams to accelerate time-to-market, reduce risk, and deliver trusted results in highly regulated and complex environments.
User Feedback Fuels Our Progress
We are deeply grateful to our users, whose feedback directly shapes the evolution of Jama Connect. Their insights help us prioritize enhancements, develop intuitive features, and refine the platform for an even better user experience. We continuously listen, adapt, and innovate, ensuring Jama Connect remains the leading solution you can depend on.
Here’s what some of our customers have to say about their experience:
“Jama Connect has the best UI compared to DOORS, Codebeamer, and [PTC Integrity]. It’s the clearest to use with the best usability. For example, making traces between requirements is as straightforward as clicking a button. The trace matrix view is highly configurable to show anything you need.”(Verified User, Medical Device Company)
“We use Jama [Connect] for centralized requirements administration of sector-wide projects and development. The intuitive review module and quick-marking features make managing requirements seamless.”(Verified Professional, Oil & Energy Company)
“We are using Jama Connect to be more than just a requirements management tool – we are using Jama Connect as the single source of truth to contain not just the requirements, but also the why and how the system is the way it is. It helps us engage stakeholders, both junior and senior, due to its user-friendly interface.”(Chris Armstrong, Lead Systems Engineer, JFD)
These testimonials illustrate Jama Connect’s powerful impact on our users’ workflows and show why teams across the globe trust us as their go-to solution for requirements management.
Top organizations across the globe turn to Jama Connect as their central platform for managing the product and systems development lifecycle. Customers consistently note the impact of features like Live Traceability™, configurable templates, export options for compliance, and collaboration tools. These elements are designed for flexibility, efficiency, and confidence, no matter the scale or regulatory demands.
Our Continued Commitment
Winning the 2026 TrustRadius Buyer’s Choice Award inspires us to keep raising the bar. Our team is actively investing in new advancements including greater automation, advanced analytics, and a more powerful, user-friendly experience so you can meet tomorrow’s challenges efficiently and confidently.
Experience Jama Connect’s Impact
This latest honor from TrustRadius underscores why leading teams worldwide trust Jama Connect to drive their projects forward. If you’re seeking to improve compliance, streamline product development, or enable advanced collaboration, we invite you to discover the difference Jama Connect can make for your organization.
Thank You
To our valued customers, thank you. Your continued partnership and feedback have made this achievement possible. We look forward to working together to drive your next wave of innovation and success.
As organizations grow, the complexity of their projects multiplies. Managing tens of millions of requirements and thousands of simultaneous users can strain legacy systems that persist in the market. For large enterprises, a requirements management platform must do more than just store information; it must scale effortlessly, perform reliably under pressure, and provide clear, comprehensive insights. Jama Connect is engineered specifically to meet these enterprise-level challenges, ensuring that your teams can innovate without being hindered by their tools.
The Enterprise Challenge: Scaling Without Compromise
In a large-scale environment, systems are constantly tested by the sheer volume of data and user activity. A platform might work well for a small team in a startup mode, but how does it perform with 1,000s of users accessing and modifying tens of millions of requirements? The risk of slowdowns, data conflicts, and system instability becomes a major concern. Large enterprises need a solution that guarantees high performance, data integrity, and a seamless user experience, regardless of scale and volume. Users that experience performance issues will often abandon the tool and find other means to complete their work. For a requirements management process, this effectively causes more work, introduces defects, and undermines the value of having a single source of truth. This frequently occurs in legacy requirements management tools with antiquated architecture that do not scale well.
Jama Connect addresses this with an architecture designed for high-volume, high-concurrency environments and dynamic scalability. It allows organizations to manage complex and large product development lifecycles effectively, from initial concept to final launch and beyond, ensuring that every team member is aligned and productive while enjoying a positive user experience.
Supporting Hundreds of Thousands of Users Simultaneously
One of the most significant tests for any enterprise platform is its ability to support a large number of concurrent users without performance degradation. Jama Connect is architected to handle this demand, allowing global teams to collaborate in real time. Whether it’s engineers in one country, testers in another, and project managers in a third, everyone can access and update requirements simultaneously.
This capability is crucial for maintaining project velocity. Delays caused by system lag or user lockouts can create bottlenecks and push timelines back. Jama Connect’s robust infrastructure ensures that as your user base grows, the platform remains responsive and stable. This allows teams to focus on their work, not on waiting for their tools to catch up.
Managing Billions of Requirements with Ease
Modern products, from medical devices to aerospace systems to autonomous driving vehicles, can involve millions of individual requirements, test cases, and risk analyses. Managing this volume of data is a monumental task. Jama Connect is optimized to handle large amounts of requirements and other related assets, allowing enterprises to centralize all their requirements in a single, organized repository.
The platform’s performance isn’t just about storage; it’s about accessibility and usability. Users can quickly search, filter, and analyze millions of items to find the exact information they need. This efficiency is vital for making informed decisions and ensuring that all project components are aligned with top-level goals. For example, the ability to create a detailed requirement traceability matrix or view remains fast and fluid, even with extensive data sets.
The Power of Live Traceability™ at Scale
Traceability is the backbone of compliant and high-quality product development. In an enterprise setting, maintaining this traceability across integrated toolchains can be incredibly complex. As data is created across the V model, the number of requirements grows exponentially, and so do the numbers of traces. Jama Connect simplifies this interoperability. The concept of Live Traceability is to provide a dynamic, real-time view of the relationships across your integrated tool chain. For example, when integrated with a tool like Jira or a modeling tool, it is essential to know when a user story or aspects of the model have been updated and how it impacts requirements in your requirements tool.
As one team member updates a requirement, the impact of that change is instantly visible to everyone else. This immediate feedback loop is essential for impact analysis. Before committing a change, teams can see exactly which downstream items will be affected, preventing unintended consequences and reducing rework. When the requirements tool is integrated with other systems in your toolchain, it is essential that this process be scalable in order to handle the level of change that occurs at enterprise scale, where tens of thousands of requirements and tests can be impacted by upstream change.
For an enterprise, downtime is not an option. Jama Connect is built on a modern, service-oriented architecture that delivers the performance, scalability, and reliability required for mission-critical projects. It is designed to integrate smoothly into existing enterprise IT ecosystems, offering flexible deployment options, whether on-premises or in AWS cloud.
This focus on enterprise-grade performance means that teams can depend on Jama Connect to be available and responsive when they need it most. Performance of the tool is measured “at the glass,” ensuring that the user experience is the main focus. The P75 load time for cloud hosted environments is under 3 seconds. The platform’s advanced architecture is optimized for handling complex queries and large data loads, ensuring that generating reports, conducting reviews, and navigating trace relationships is always a fast and efficient process.
The ultimate definition of scale is that user experience remains consistent regardless of the amount of data in the system. Jama Software’s focus on user-experienced performance proves that while managing billions of requirements, the user experience (measured via P75 load times) remains consistent and well within best practices. No other tool in the industry can make such a claim because no other tool in the industry combines the modern architecture and performance monitoring of Jama Connect.
Conclusion: Scale Your Innovation with Confidence
When shopping for a requirements tool, there are many considerations: features, price, and industry position. One of the main aspects to consider is scalability and growth. If you are serious enough to be seeking out a requirements management tool, you understand the value of formalized requirements to your business and are certainly expecting your business to grow and be successful. Why invest in a tool today that won’t be able to grow with you tomorrow?
For large enterprises, selecting a requirements management platform is a strategic decision that impacts productivity, quality, and time to market. The solution must be able to grow with the organization and handle the complexities of modern product development.
Jama Connect proves itself as a true enterprise-grade platform by delivering exceptional performance, supporting hundreds of thousands of concurrent users, and managing billions of requirements with ease. With Jama Connect, enterprises can scale their operations and ambitions without being limited by their tools, empowering them to build the next generation of innovative products with confidence.
[Webinar Recap] AI-Assisted Engineering: How Data, Governance, and Trust Are Shaping the Future of Requirements Management
AI is transforming how engineering teams write, verify, and manage requirements. Across consumer electronics, industrial manufacturing, and energy, teams are leveraging it today to innovate faster, strengthen quality, and enhance compliance—from generating draft requirements and identifying risks to automating verification and ensuring governance.
Leverage AI to accelerate innovation while maintaining compliance and safety across consumer electronics (Right to Repair, ESPR) and industrial manufacturing (ISO 13849, IEC 61508)
BELOW IS A PREVIEW OF THIS WEBINAR. WATCH THE ENTIRE PRESENTATION HERE
TRANSCRIPT PREVIEW
Patrick Garman: Hi, and welcome, and thank you for joining us today to talk about AI-assisted engineering. My name is Patrick Garman, and I’m the Solutions Manager for Industrial and Consumer Electronics here at Jama Software. I’m here today to talk about the rise of AI in requirements management, what’s coming and what’s already here, and what do you need to know to prepare. And I’m also going to be joined by Katie Huckett, our product line manager for Jama Connect Advisor™ and AI for a chat about Jama Software’s point of view on AI and to answer some common questions. We all know AI has moved from theory to practice, and you don’t have to imagine tools that can, for example, analyze requirements against INCOSE rules and flag where they are out of compliance because Jama Connect Advisor already does this. But what if in addition to analyzing your requirements, AI could actually draft requirements and structured syntax, automatically generate verification plans, and keep traceability intact across the development lifecycle.
Maybe even take stakeholder text or regulatory language and translate it directly into models or requirements artifacts. And looking ahead, predictive AI, using AI to highlight gaps, surface risks, or conflicts between requirements before they turn into costly defects downstream. And again, all of this is either already happening or will be available very soon. Let’s think about AI-assisted requirements authoring, models that automatically generate draft requirements, and structured syntax like EARS that saves hours of work for your engineers because you are going to start with a set of draft requirements that can be based and pulled from your existing IP, your previous development efforts to kickstart new product development. Think about autonomous verification planning, using AI to suggest verification methods. Even write test cases with detailed test steps and coverage analysis directly linked to requirements. For example, our test case intelligence tool takes requirement statements and generates context-specific test cases with detailed test ups and links these automatically to requirements for traceability. And thinking of traceability, what about contextual traceability?
Garman: Think about an AI tool that can match requirements semantically, helping you uncover impacts you might not otherwise have discovered until later in the development cycle. Or consider maybe importing a large set of requirements from an external store and having Jama Connect suggest where there might be links to existing requirements, drastically reducing what is currently a very manual and, well, very important, often tedious process. Using natural language to construct models, so think about being able to translate stakeholder inputs or regulatory text into SysML or requirements artifacts automatically. This is already happening to write software code. You think of Git’s Copilot, where you can enter a plain language prompt for a function or code script and it will generate the code for you.
And again, taking that further to predictive analytics. So again, using AI to predict requirements conflicts or uncover requirements conflicts, uncover gaps, surface risks before they become downstream defects. Now let’s take a minute and talk about how is this going to impact consumer electronics and industrial manufacturing companies? Well, for consumer electronics, this is going to mean faster innovation cycles. Requirements can be captured, written, and connected more quickly so products get to market faster. AI can also monitor regulations like right to repair and ESPR and flag when requirements need updating. Finally, AI lets us mine customer reviews and support tickets for insights that automatically generate or update product requirements.
In industrial manufacturing, the benefits are really in handling complexity. AI can help decompose large systems of systems projects like commercial elevator systems, industrial robots into consistent requirement hierarchies. It can automate the generation of safety compliance artifacts for standards like ISO 13849 or IEC 61508. And by feeding back IOT and sensor data, AI can also help us to write predictive maintenance and after sales requirements. Ultimately, for requirements management, it means faster authoring and verification, proactive compliance tracking, better use of real-world data, and competitive differentiation through speed and quality.
Garman: So this all sounds great. And the good news is that, again, this is all either available today or will be very soon. So what do you need to know to be ready? Well, when we think about preparing for AI-assisted and autonomous engineering, the first thing to recognize is that data readiness is absolutely key. We all know the saying, garbage in, garbage out, and it’s maybe never been more applicable. AI is really only as good as the information that it has to work with. So that means our requirements, our traceability links and test evidence need to be structured, high-quality, and consistent. And companies that invest in clean, well-governed data models, the kind that are supported by Jama Connect, will be in the best position to take advantage. Second, and I can’t stress this enough, it’s important to keep in mind that AI is not a replacement for engineers.
It is an augmentation. Think of it like a copilot. It can draft requirements, review, and analyze gaps, but accountability still sits with the engineering team. There must be human overview and review of these requirements. And that brings us to governance and trust. So we need validation workflows to make sure that no AI-suggested requirement ever bypasses human review, and audit trails will need to clearly capture what was generated by AI versus what was authored or approved by humans. And we’re going to need new KPIs to measure the impact. For example, what percentage of requirements are drafted by AI versus humans? How much time did we save in verification planning? Are defect rates dropping because we are catching missed requirements earlier? And finally, there is a strategic advantage to being an early adopter.
Empowering Complex Development with Responsible AI
Streamlining Efficiency and Compliance with Scalable Solutions
Product and system development is entering a new era, driven by AI innovation. Highly regulated industries like aerospace, automotive, medical devices, and financial services are facing unprecedented challenges such as escalating regulatory scrutiny in some cases, rising product complexity, and the relentless demand to accelerate time-to-market. Navigating these challenges requires a balance of innovation, compliance, and efficiency.
Artificial intelligence is beginning to demonstrate its potential in requirements management by automating manual processes, enhancing decision-making, and streamlining compliance. However, harnessing AI’s full potential requires a commitment to responsible AI practices, ensuring transparency, fairness, and security.
This whitepaper explores how AI is shaping the future of product development, offering insights into its applications, best practices for governance, and the role of Jama Software and AWS in delivering scalable, secure, and responsible AI solutions.
A System of Systems (SoS) is a collection of independent systems, integrated into a larger system that delivers unique capabilities
It is difficult to produce accurate predictive models of all emergent behaviors, so global SoS performance is difficult to design
Testing and verifying upgrades to a SoS is difficult and expensive (sometimes prohibitively) due to scale, complexity, and constant evolution
AI Applications in Complex Product Development
1. Challenges in Product Development
Complex product development demands businesses to manage an increasing number of variables, such as system interconnectivity, regulatory requirements, and shorter development
cycles. This intensifies the need for precise requirements management tools.
Modern systems, such as self-driving cars, embody system of systems architectures, integrating hardware, software, AI functionality, and cybersecurity. While this creates immense innovation opportunities, the complexity of these systems presents significant challenges:
Predicting behaviors accurately
Designing test frameworks for integration
Scaling verification and validation processes efficiently
These challenges are amplified as the systems grow in complexity and sophistication. Accurately predicting behaviors becomes increasingly critical as interconnected components interact
in unpredictable ways, potentially leading to performance issues, safety concerns, or unintended outcomes. Addressing this requires advanced modeling and simulation techniques capable
of capturing the intricate relationships across subsystems.
Designing effective test frameworks for integration presents its own hurdles. Comprehensive testing must account for the diverse interfaces, software dependencies, and hardware configurations found in modern systems. Without a robust plan, teams risk delays, inefficiencies, and gaps in system validation that can lead to compliance failures or product recalls.
Scaling verification and validation processes to match the demands of high-complexity systems also requires significant innovation. Traditional, manual methods are often unable to keep pace,
resulting in slowed time-to-market and increased resource consumption. Automated solutions offer a scalable pathway, providing traceability, consistency, and efficiency needed to manage
these complex operations effectively.
Ultimately, organizations must balance innovation with rigorous oversight to address these challenges while ensuring safety, reliability, and compliance. Adopting tools designed for enhanced requirements management, streamlined traceability, and automated testing is paramount for achieving these goals in an evolving technological landscape.
AI-driven solutions are addressing these challenges in profound ways:
Automating Requirements Validation
AI uses natural language processing (NLP) to verify that project requirements are complete, precise, and testable
By identifying ambiguous requirements early, businesses reduce the risk of failures
Automated test case generation cuts time and ensures that all requirements are tested
AI-driven solutions are fundamentally transforming the way businesses address traditional challenges in requirements management and validation. Through the use of natural language processing (NLP), AI automates the validation of project requirements by ensuring they are complete, precise, and testable. This advanced capability allows ambiguities or inconsistencies within requirements to be identified early in the development process. By addressing potential issues proactively, businesses can significantly reduce the risks associated with failures, enhancing overall project efficiency and success.
Ensuring Regulatory Compliance
AI tools can help map requirements to stringent regulatory standards in sectors such as aerospace, defense, automotive, and medical devices
Automated monitoring ensures continuous compliance throughout the product lifecycle, minimizing risks
Ensuring regulatory compliance is critical for organizations operating in highly regulated industries such as aerospace, defense, and medical devices. AI tools can play a pivotal role in this process by mapping requirements to stringent regulatory standards, ensuring that all necessary conditions are met without manual oversight. These tools offer automated monitoring, which enables continuous compliance throughout the product lifecycle. By reducing the likelihood of human error and streamlining the regulatory process, businesses can minimize risks and maintain adherence to evolving standards, ultimately supporting the success and longevity of their projects.
Accelerating Development Cycles
Predictive analytics can enable immediate impact assessments of change requests, minimizing rework and speeding up delivery timelines
Predictive analytics play a crucial role in accelerating development cycles by enabling immediate impact assessments of change requests. This capability minimizes rework, allowing teams to address potential issues swiftly and efficiently. By streamlining workflows and reducing delays, organizations can significantly speed up delivery timelines, ensuring that projects are completed on schedule while maintaining high-quality standards.
Enhancing Collaboration
Distributed teams benefit from AI-powered traceability that links requirements, tests, and design components in real time
Efficient collaboration is critical for success, especially for distributed teams. Jama Connect enhances collaboration by providing AI-powered traceability that seamlessly links requirements, tests, and design components in real time. By fostering better communication and streamlining the sharing of critical project information, Jama Connect empowers teams to work more cohesively, reducing misunderstandings and improving overall productivity.
Jama Connect® Named #1 in G2 Fall 2025 Requirements Management Report
We are thrilled to announce that Jama Connect has once again been recognized as the undisputed #1 leader in G2’s Fall 2025 Grid® Report for Requirements Management Software. This achievement marks our seventh consecutive quarter at the top, a direct result of the trust and feedback from our valued customers.
This continued leadership solidifies our standing ahead of competitors like Polarion, IBM® DOORS®, and Codebeamer. Your reviews and partnership have propelled us to the forefront of the industry, and for that, we are immensely grateful.
A Testament to Customer Trust and Strong Relationships
G2 reports are a powerful reflection of the user experience, compiling authentic reviews and data to rank software solutions. Being named a leader is a significant honor because it comes directly from the people who use our platform every day to build the next generation of innovative products.
In the Fall 2025 report, Jama Connect’s performance was exceptional, earning accolades that highlight our strong customer partnerships and global reach. We didn’t just maintain our leadership position; we expanded our recognition across multiple new categories.
Our success this quarter is a testament to the versatility and power of Jama Connect. We are proud to have earned badges across several key areas, demonstrating our strength for businesses of all sizes, worldwide.
Here are the accolades we received in the G2 Fall 2025 report:
Overall Leader: For the seventh straight quarter, we are the #1 solution in Requirements Management. We also earned Leader badges for Enterprise, Mid-Market, and Small Business segments.
Best Relationship: This new recognition underscores our commitment to partnership. We received this badge for Overall, Enterprise, and Mid-Market, reflecting the high-quality support and collaboration our customers experience.
Regional Leader: Our global presence is stronger than ever. We were named a Regional Leader in Asia Pacific, EMEA, and Europe, showing our platform’s effectiveness across international markets.
Momentum Leader: This badge recognizes our continued growth and innovation in the market, proving we are consistently evolving to meet modern development challenges.
Voices from Our Community
The praise and constructive feedback from our users on G2 are the driving force behind our innovation. Your insights help us refine our platform and better serve your needs. Here is what some of our users have been saying:
“Jama Connect is a powerful tool for requirements management and offers a wide range of features. Until now, the traceability of requirements was very difficult or even impossible. Jama Connect solves this problem 100%.” – Verified User, Renewables & Environment, Enterprise
“In the past, all requirement-related information was scattered across Jira, Confluence, Word, and Excel, making it difficult to know whether anything was truly up to date. With Jama Connect, we have centralized most of this information into a single, reliable source of truth. The transition is still ongoing, but the shift in mindset is already bringing greater clarity, consistency, and confidence to our work.” – Verified User in Manufacturing, Mid-Market
Driving Modern Requirements Management Forward
This G2 recognition reinforces our mission to help organizations move beyond outdated, document-centric processes. Jama Connect provides a modern platform designed for the complexities of today’s product development landscape.
With Jama Connect, teams can:
Improve clarity and collaboration with a single source of truth.
We could not have achieved this milestone without you. Your partnership, feedback, and trust are the cornerstones of our success. These G2 awards are not just for us; they are a shared victory for every team using Jama Connect to solve complex challenges and build amazing products.
Thank you for making us the #1 choice for requirements management. We are committed to continuing this journey of excellence with you.
Note: This article was drafted with the aid of AI. Additional content, edits for accuracy, and industry expertise by Decoteau Wilkerson and Makenna Imholte.
