10 Best Prompts for Product Sprint Meeting Transcripts

Product managers and developers are often overwhelmed with information, ideas, tasks, and challenges during sprint meetings. This makes it difficult for them to extract the key details essential for successful product development from the conversation transcripts.

They often find themselves asking, "What should we take away from all this data?"

Fortunately, technology can help with this. Note-taking tools like Wudpecker allow you to review everything you might have missed during the call. Wudpecker not only records and transcribes your meetings but also lets you create and use prompts to dig deeper into your demo call transcripts.

What is a prompt?

A prompt is a specific question or statement designed to trigger a response or extract specific information from your transcript. By creating your own prompts, you can significantly enhance the insights you gain from your meetings.

You can ask specific questions about the transcript, focusing on the areas that matter most to you. For example, you can inquire, "What were the key takeaways regarding the new product launch?" or "Highlight any concerns raised by the prospect."

In this blog, you'll learn how to craft prompts that target specific information and how to use Wudpecker's capabilities to maximize the value of your meeting transcripts. If you also struggle with sifting through a sea of information to find targeted takeaways, our list of ten crucial prompts will guide you from data overload to actionable insights.

(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:

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

(2) Which product features received the most attention and why?

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

Examples of insights:

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

(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:

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

(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:

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

(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:

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

(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:

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

(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:

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

(8) What strategies were discussed to improve product quality in the upcoming sprint?

This prompt promotes a focus on quality improvement.

Examples of insights:

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

(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:

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

(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:

User feedback about the complexity of the user interface led to a decision to simplify it in the upcoming sprints.
Users reported a need for a dark mode option, which has been added to the product roadmap.
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?

1. ChatGPT

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

Upside:

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

Downside:

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.

2. Wudpecker

Wudpecker.io is an AI meeting tool that records, transcribes, and summarizes your meetings. It's designed to help you enter prompts and extract valuable insights.

Upside:

Quality Summaries and Transcripts: Wudpecker offers high-quality summaries and transcripts, making it easy to review meetings and quickly identify key insights. All calls are stored in one place, providing a centralized location for your meeting records.
Context Awareness: With Wudpecker, you can use prompts without needing to provide context to the AI, as Wudpecker already knows all the details of your meetings. This context-awareness enhances the accuracy and usefulness of the generated summaries.
Clickable Quotes: Wudpecker provides the option to skim through the transcript and click on any specific quote to listen to the exact discussion. No need to listen to the whole call just to find one small detail. It gives the flexibility to go back to the meeting discussion at any time for better insight.
Call Recording: Wudpecker records calls for later reference and sharing with remote team members. This ensures that all critical information is captured and accessible at any time for the team members to listen to.
Gemini 1.5 Integration: Utilizing Gemini 1.5, Wudpecker boasts a massive 1 million token context window. This enables it to process vast amounts of information in a single session, leading to more comprehensive and insightful summaries.
Availability: Wudpecker works any time of day, ensuring that you have access to its useful features whenever you need them. Additionally, Wudpecker is free to try, allowing you to experience its capabilities without any initial commitment.
Prompt History: Wudpecker saves your prompt history, allowing you to reuse and refine previous prompts. This feature ensures consistency in the type of information you extract from your meetings.
Prompt Functionality: You can create specific prompts (e.g., "What were the key takeaways regarding the new product launch?") or general instructions (e.g., "Focus on action items and deadlines."). Wudpecker's AI will prioritize information related to your prompt when generating the summary and extracting insights.
Add to Collection: Add to Collection: Wudpecker allows you to organize your meeting summaries into different categories or projects. This makes it easier to manage and find the information you need, especially if you have a lot of meeting summaries stored in Wudpecker.

With these features, Wudpecker enhances your ability to manage and derive value from your meetings, making it an essential tool for effective communication and project management.

How to use prompts with Wudpecker

Step 1: Log in / Sign up to Wudpecker’s browser app.

Step 2: Conduct your meeting with Wudpecker’s notetaker admitted in it. You can also download the new desktop app and record the call without needing a bot present at the meeting. You can record either virtually or in person. Find more information here.

Step 3: Highlight and copy the prompt you want to use (Ctrl/Cmd + C or right click on your mouse and press Copy).

Step 4: On Wudpecker, open the notes of the meeting that you want to extract this information from.

Step 5: Paste (Ctrl/Cmd + V) the prompt that you copied under the “Ask Wudpecker” section and press Enter. You should be able to see the AI answer being generated in real time.

Conclusion

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 and Wudpecker 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.