Demo
Tuesday, October 6, 2026, 2:45 PM -
3:15 PM at Theatre C, Hall 1
Turning customer feedback into better roadmap decisions: An AI-assisted product lifecycle
Product teams don’t just struggle to collect customer feedback. They struggle to carry customer understanding through the entire product lifecycle, from identifying the real problem and deciding what to build, to preserving that context through delivery and learning whether the solution worked.
Join Olga Springer, Senior Product Manager at Atlassian, and Kevin Tassi, Product Manager for Feedback App at Atlassian, for a hands-on look at how the Feedback App and Jira Product Discovery work together as part of Atlassian’s Product Collection.
Following one product question from signal to roadmap decision, they’ll show how a team brings together feedback from multiple channels, uses AI to surface patterns, and explores the evidence behind what customers are asking for. You’ll see how the team goes beyond counting feature requests to understand the underlying problem, validates an insight, and connects it to a Jira Product Discovery idea with the customer rationale preserved.
Key takeaways:
Join Olga Springer, Senior Product Manager at Atlassian, and Kevin Tassi, Product Manager for Feedback App at Atlassian, for a hands-on look at how the Feedback App and Jira Product Discovery work together as part of Atlassian’s Product Collection.
Following one product question from signal to roadmap decision, they’ll show how a team brings together feedback from multiple channels, uses AI to surface patterns, and explores the evidence behind what customers are asking for. You’ll see how the team goes beyond counting feature requests to understand the underlying problem, validates an insight, and connects it to a Jira Product Discovery idea with the customer rationale preserved.
Key takeaways:
- Capture every signal: Bring feedback from customers and customer-facing teams together and let AI help make sense of it.
- Make decisions with evidence: Ground roadmap priorities, problem statements, and product bets in the complete customer picture.
- Discover the real problem: Move beyond counting requests by exploring why customers are asking for something.
- Carry customer context forward: Preserve the rationale as decisions become roadmap and delivery work.
- Build a learning flywheel: Return to customers, measure what happened, and feed new learning into the next decision.
Can't make this session? Be sure to check the schedule as this session will be repeated.