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10 Best Prompts for Product Sprint Meeting Transcripts

November 24, 2023
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Last updated
June 24, 2024
Hai Ta
10 Best Prompts for Product Sprint Meeting Transcripts
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Product managers and developers find themselves in a unique position. On the one hand, they're bombarded with information, ideas, tasks, and challenges during sprint meetings. On the other hand, they often find themselves asking, "What should we take away from all this data?"

The details that are vital to successful product development are often hidden in the dense forest of conversation transcripts from countless sprint planning and review meetings.

To navigate this path from a sea of information to targeted takeaways, we've compiled a concise list of ten crucial prompts.

Prompt 1: What were the critical bugs and their impact discussed during the meeting?

This prompt focuses on understanding the technical issues and their consequences on the product's performance.

Examples of insights:

  1. The team discussed a recurring performance bug that affects the application's load time, possibly leading to user dissatisfaction.
  2. A recently discovered security bug might put our user data at risk.
  3. The bugs related to the payment gateway can impact our revenue if not addressed promptly.

Prompt 2: Which product features received the most attention and why?

This prompt helps prioritize features based on their importance or urgency.

Examples of insights:

  1. The upcoming user personalization feature was the highlight due to its potential to increase user engagement.
  2. The team spent a lot of time discussing the search function due to reported usability issues.
  3. The analytics feature was a focus due to the need for more in-depth user behavior insights.

Prompt 3: What were the risks and dependencies identified for the upcoming sprint?

This prompt aims to prepare the team for potential challenges in the sprint, ensuring smooth execution.

Examples of insights:

  1. The integration of the third-party API is a significant risk as it might affect the overall performance.
  2. The completion of the UI update depends on the availability of the design team.
  3. There's a risk of missing the sprint deadline if the bug fixing takes longer than anticipated.

Prompt 4: How were the resources allocated for the upcoming sprint?

Resource allocation is key to managing the team's workload and ensuring the tasks' timely completion.

Examples of insights:

  1. Half of the development team was assigned to work on the new feature development, while the rest will focus on bug fixes.
  2. One developer was specifically assigned for the performance optimization of the application.
  3. Two resources were allocated for addressing security vulnerabilities.

Prompt 5: How was the backlog prioritized for the next sprint?

This prompt helps understand the decision-making process behind the prioritization of tasks.

Examples of insights:

  1. User-reported issues were given top priority for the next sprint.
  2. High impact but low-effort tasks were moved to the top of the backlog.
  3. Due to business requirements, new feature development was prioritized over certain bug fixes.

Prompt 6: What metrics were discussed to measure the success of the next sprint?

Identifying key performance indicators (KPIs) can help quantify the sprint's success and track the team's progress.

Examples of insights:

  1. The team decided to track 'Sprint Velocity' and 'Bug Resolution Rate' as primary success metrics.
  2. 'Code Coverage' was chosen as a metric to ensure good test coverage.
  3. 'Number of Unresolved Bugs' at the end of the sprint was added as a key metric to control technical debt.

Prompt 7: What were the lessons learned from the previous sprint?

This prompt fosters a culture of continuous improvement by reflecting on past experiences.

Examples of insights:

  1. The team learned that proper documentation reduces the time spent on bug diagnosis.
  2. A lesson from the last sprint was the need for better communication to avoid task overlap.
  3. The team found that allocating specific time for code reviews helped reduce the number of bugs.

Prompt 8: What strategies were discussed to improve product quality in the upcoming sprint?

This prompt promotes a focus on quality improvement.

Examples of insights:

  1. The team plans to implement pair programming to reduce the number of bugs.
  2. A strategy of performing rigorous regression testing before deploying was decided to minimize post-deployment issues.
  3. The use of a new static code analysis tool was discussed to improve code quality.

Prompt 9: How were the sprint goals aligned with the long-term product goals?

This prompt ensures the sprint activities contribute to the larger product vision.

Examples of insights:

  1. By focusing on improving the application's load time in the sprint, we align with our long-term goal of enhancing user experience.
  2. Working on user personalization features aligns with the product goal of creating a more user-centric application.
  3. Prioritizing security bug fixes correlates with our long-term aim of building a highly secure platform.

Prompt 10: What user feedback was discussed and how does it influence the product roadmap?

User feedback is crucial for product development, and this prompt emphasizes its incorporation in planning.

Examples of insights:

  1. User feedback about the complexity of the user interface led to a decision to simplify it in the upcoming sprints.
  2. Users reported a need for a dark mode option, which has been added to the product roadmap.
  3. Several users requested multi-language support, influencing the decision to prioritize this feature in the future.

Awesome prompts! But… Where can I even use it?


You can paste the transcript of your meeting into ChatGPT, and then attach the prompts to produce results.


  • You can try for free and it works for shorter transcript of 15-minute calls.


  • The free version doesn’t have high reasoning capability. So it’s likely you will get answers that make your eyes roll.
  • Token limit. If the transcript is from a 30+ minute call, it’s likely that you will get an error that your prompt was too long.
  • Might not produce results during peak hours.

Wudpecker is an AI meeting tool that records, transcribes, and summarizes your meetings. It is built for you to enter these prompts and extract insights.


  • Can extract insights despite the meeting length
  • Offers quality summaries and transcripts, making it easy to review meetings and find important insights quickly
  • Transcription available in 100+ languages
  • Records calls for later reference and sharing with remote team members
  • Provides ready-made templates or the option to create custom templates for note-taking
  • Allows users to create snippets from recordings, making it easy to share important sections of a meeting with others
  • Recognizes speakers during the meeting and separates their dialogue in the transcript, making it easy to follow along and attribute comments to the correct person


We've journeyed far from hasty scribbles, shaky recollections, and stacks of meeting recordings that no one has the time to revisit. These ten prompts serve as an essential toolkit, empowering product managers and developers to distill key insights from sprint meeting transcripts.

Utilizing these prompts can revolutionize how you decipher your discussions, paving the way for successful product development and team collaboration. They mark the starting point of a transformative process that takes you from raw data to valuable insights that can propel your product to new heights.

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