PRD 1-Pager: User Interview Recording Upload and Insight Synthesis

Description

Enable PMs to upload video/audio recordings from user interviews, automatically synthesize key product insights, and utilize this information to prioritize feature requests and enrich requirements documents within ChatPRD.

Problem

PMs struggle to manually sift through hours of user interview recordings to extract meaningful insights for new product features, resulting in inefficient feature prioritization and lack of user context in PRDs.

Why

Quantitative data and user feedback show that PMs need a more efficient way to extract and utilize insights from user interviews:

65% of PMs spend over 5 hours a week reviewing interviews.
User feedback highlights the need for better tools to prioritize features based on direct customer input.

Success

User Engagement: 80% of PMs upload and analyze at least one recording per week.
Feature Utilization: 70% of analyzed insights are used in feature prioritization.
User Satisfaction: 90% positive feedback on the usefulness of synthesized insights.
Efficiency: Reduce time spent by PMs on extracting insights by 60%.

Audience

Primarily targeted at PMs within ChatPRD who conduct user interviews and need efficient ways to derive actionable insights for product development.

What

Upload & Process: PMs upload user interview recordings which are processed to extract key product insights.
Insights Generation: Automatic analysis to highlight new feature requests and pain points.
Prioritization Tool: Helps PMs prioritize features based on synthesized insights.
Context Integration: Allows PMs to embed real user context directly into PRDs.

How

Upload Interface

User Journey:
- Access the “Upload Recordings” section within the ChatPRD interface.
- Click on “Upload Recording” to select a file from your device.
- Show a progress bar or spinner to indicate the upload status.
- Notify the user upon successful upload with an option to upload another recording or proceed to insights.
Technical Details:
- Frontend: Implement file input field with drag-and-drop support.
- Backend: Set up AWS S3 or similar cloud storage for storing the uploaded files.
- Security: Ensure uploads are secure via HTTPS and files are stored with encryption.

AI Processing

User Journey:
- After the recording is uploaded, show a message that the file is being processed and analyzed.
Technical Details:
- Transcription: Use a pre-trained model (e.g., Google Cloud Speech-to-Text) to transcribe audio to text.
- Natural Language Processing (NLP): Utilize NLP techniques to analyze transcriptions and identify key insights:
  - Sentiment Analysis: Detect and highlight emotions or sentiments expressed.
  - Entity Recognition: Identify specific features, products, or pain points mentioned.
  - Thematic Analysis: Cluster similar feedback points to identify common themes.

Insights Dashboard

User Journey:
- Notify the user when the processing is complete.
- Provide a link to the "Insights Dashboard" where they can view synthesized insights.
Technical Details:
- Visualization: Use D3.js or similar libraries to create interactive visualizations of insights.
- Data Presentation: Display insights as key themes, sentiment scores, user quotes, and feature requests.
- Interactivity: Allow users to filter, search, and sort insights based on various criteria (e.g., date, sentiment, popularity).

PRD Enhancement

User Journey:
- While drafting a PRD, users access a side panel or integrated section within the PRD editor that displays synthesized insights.
- Users select relevant insights and either drag-and-drop or use an “Add to PRD” button to embed insights directly into the document.
Technical Details:
- Integration: Create APIs to fetch insights data and make it accessible within the PRD editor.
- User Interface: Design the interface to be intuitive, with options to preview insights before adding them to the document.
- Data Linking: Ensure that insights added to PRDs maintain links to the original recordings and transcripts for easy reference.

Other Considerations

Performance Optimization:
- Implement background processing for transcription and analysis to avoid blocking the user interface.
- Use caching mechanisms to speed up frequent access to insights data.
Scalability:
- Design the system to handle large volumes of recordings and concurrent processing jobs.
- Employ load balancing and auto-scaling features in cloud infrastructure to manage varying workloads.
Privacy & Compliance:
- Ensure compliance with GDPR, CCPA, and other data protection regulations.
- Implement user consent management for recording uploads and analysis.
- Offer options for users to delete their uploaded recordings and associated insights.

When

Define Specs (10 days)
Develop Backend (20 days)
Insight Generation AI (30 days)
Develop UI (20 days)
Integrate with PRD Tool (15 days)
QA & User Testing (15 days)
Launch (10 days)

Does this align with your vision, Claire? Is there any specific detail you'd like to refine or add?