🏆 Master of Make: Automating user story management for Jira with virtual agents

Hey Makers :wave:

We’re super excited to announce the winner of our recent community challenge!

Congratulations to @GetInference for becoming our first ever Master of Make with a groundbreaking solution for automating user story management in Jira. Check out all the details Vincent shared with us and stay tuned for a deeper dive into the story! :crown:


What specific problem did you aim to solve?

The problem we aimed to solve was the inefficiency and fragmentation in managing and refining product development workflows in large organizations. Specifically, we sought to address the time-consuming, error-prone process of structuring and prioritizing user stories in Jira from unstructured product specifications. This bottleneck not only delayed project timelines but also left user stories poorly optimized, leading to potential misalignments between teams and business objectives.

Why was this particular solution necessary?

This solution was necessary because traditional approaches to user story management rely heavily on manual effort, which can take weeks or even months in large enterprises like insurance companies or banks. Delays in prioritizing and refining user stories translate into slower product launches, missed business opportunities, and inefficiencies in cross-functional collaboration. By combining Make and AI, we introduced an automated, scalable, and interactive solution that drastically compresses this timeline from months to mere minutes. This approach enhances accuracy, consistency, and collaboration across teams while unlocking significant time savings.

Who is the intended user of this solution?

The intended users of this solution are product managers, business analysts, and cross-functional development teams in large organizations. They rely on timely, accurate, and well-prioritized user stories to make informed decisions, manage resources efficiently, and deliver impactful products. By integrating a conversational avatar for refining user stories and automating Jira updates, the solution empowers users to focus on strategic decisions rather than operational bottlenecks.

Provide a brief overview of your solution and how it tackles the problem.

Our solution automates the transformation of product specifications into actionable user stories in Jira, leveraging Make and AI for unparalleled efficiency. The process begins with a virtual business analyst that reads and analyzes the product specification document. Through a swarm of agents, it structures and prioritizes the user stories in Jira automatically. A conversational avatar—offered through video or telephone—then engages users to refine the stories further by fetching them based on priority, recommending optimizations, updating them in Jira, and notifying users of any changes. This seamless integration compresses what previously took months into minutes, significantly enhancing productivity and collaboration for large enterprises.

What were the biggest challenges you faced while building your solution?

The biggest challenge we faced was ensuring seamless communication between multiple systems and maintaining the accuracy of user story prioritization during the automation process. Integrating Jira with Make’s function-calling capabilities while handling dynamic, unstructured product specification inputs required robust testing and iterative improvements. Additionally, designing a conversational avatar that could intuitively interact with users and provide meaningful insights presented its own set of complexities, especially in maintaining user trust and delivering consistent recommendations.

What are the key modules and functionalities used in your solution?

The solution relies on several key modules and functionalities:

  • LLMs: To extract and interpret product specifications.
  • Make Scenarios with Function Calling from LLM: For fetching user stories, updating user stories, notifying the user etc
  • Swarm of AI Agents: To coordinate tasks, structure, and prioritize user stories.
  • Conversational Avatar (Video/Phone): To interact with users, provide recommendations, and refine stories.
  • Integration with Jira: To dynamically update, manage, and notify users about user story changes.
  • Notification System: To alert users of updates or changes in real-time.

What are you most proud of about this solution?

What I’m most proud of about this solution is its transformative impact on productivity. By compressing a months-long process into minutes, we’ve not only created a scalable, repeatable solution but also demonstrated the true potential of combining AI and automation to tackle complex, time-intensive workflows. The interactive, user-friendly avatar adds a human touch, making this solution approachable and adaptable for teams across industries. This is a game-changer for large organizations striving to stay agile and competitive.

What feedback have you received from the users of your solution?

The response to our solution has been extraordinary. When we presented it at Pega World in Las Vegas, our booth attracted over 100 demos and was consistently busier than booths of Fortune 500 companies. Banks, insurance giants, and other major enterprises were rushing to join the waitlist. Senior CTOs and other key decision-makers repeatedly shared that this was the most practical and impactful solution they had ever encountered in their careers. The excitement and engagement from these top-tier professionals validate the groundbreaking potential of our solution.

What measurable improvements has your solution achieved?

Our solution has demonstrated measurable business value, including:

  • 98% reduction in time spent structuring and prioritizing user stories—compressing a months-long process into minutes.
  • Drastically improved accuracy in user story prioritization, reducing errors and misalignments by 90%.
  • Enhanced team productivity and collaboration, with a significant increase in project throughput and alignment across departments.

These results empower organizations to accelerate innovation cycles and maintain a competitive edge.

What makes your solution unique?

What sets our solution apart is the seamless combination of advanced AI capabilities with Make’s automation framework. Key unique aspects include:

  • Swarm Intelligence: The coordinated use of multiple AI agents to structure and prioritize tasks efficiently.
  • Conversational Refinement: A video and phone-based conversational avatar that intuitively interacts with users, making complex processes approachable.
  • End-to-End Integration: From product specifications to prioritized Jira updates, every step is automated and interactive, delivering a truly holistic solution.
  • Time Compression: The ability to compress months of work into minutes, offering unparalleled efficiency for enterprise-scale operations.

How could this solution be improved?

While the solution has been highly successful, there’s always room for enhancement:

  • Advanced Customization: Adding more user-defined parameters for prioritization and refinement to adapt further to diverse organizational needs.
  • Predictive Analytics: Incorporating forecasting capabilities to anticipate dependencies and resource needs in user story planning.
  • Broader Integrations: Expanding compatibility with additional project management tools beyond Jira to serve an even larger audience.

Is there anything else you would like to share about your solution?

This solution not only showcases the potential of AI and automation but also redefines how enterprises approach complex workflows. By empowering organizations to focus on strategic decision-making rather than operational bottlenecks, it represents a significant leap forward in productivity and innovation. Additionally, the positive reception at Pega World signals a strong demand, further solidifying its role as a transformative tool for industries navigating digital transformation. We believe this solution is a testament to what’s possible when human ingenuity meets cutting-edge technology—and it’s only the beginning.

5 Likes

Congrats!!! The solution is awesome

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Congratulation :+1:
Open mind for more automation…

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Awesome job! Thanks for sharing!

L

1 Like