Skip to main content
Learn how to transform your recordings and signals into structured documents through practical, step-by-step examples.

Example 1: Meeting Summary from Single Call

Scenario: Generate professional meeting notes from a customer call
1

Open the Recording

Navigate to your Recordings and open the call you want to summarize
2

Start Document Generation

From the call details page:
  • Click the Generate button (or ••• menu)
  • Select “Generate Document”
3

Choose Template

Select Meeting Summary template
4

Verify Data Source

The call should already be selected as the source
5

Configure Generation

  • Title (optional): “Acme Corp Q1 Review”
  • Focus (optional): “Highlight action items and next steps”
  • Generation Style: Focused Analysis (default for single call)
  • Data Format: Full Context (uses complete transcript)
  • Visibility: Private or Workspace
6

Generate

  • Click “Create Document”
  • Wait 30-60 seconds
  • Document opens automatically when ready
Adding a specific focus like “Emphasize technical requirements” helps the AI generate more targeted content.

Example 2: PRD from Multiple Customer Calls

Scenario: Create a product requirements document from 5 customer interviews about the same feature
1

Organize Calls in Folder

  • Create a folder called “API Integration Feedback”
  • Add all 5 related customer calls to the folder
2

Create Document from Folder

  • Go to Documents section
  • Click “Create Document”
3

Choose PRD Template

Select Product Requirements Document template
4

Add Data Sources

In the Data step:
  • Click “Folders” tab
  • Select your “API Integration Feedback” folder
  • All 5 calls are now included
5

Configure Generation

  • Title: “API Integration Feature Requirements”
  • Focus: “Extract technical requirements, integration needs, and user pain points for API development”
  • Generation Style: Theme Discovery (for multiple calls)
  • Data Format: Full Context
  • Visibility: Workspace
6

Generate and Edit

  • Click “Create Document”
  • Wait 1-2 minutes for processing
  • Review generated PRD
  • Edit directly in the document editor
  • Use document chat for refinements
Theme Discovery mode is best for multiple calls - it identifies patterns and themes across all conversations.

Example 3: Weekly Feature Request Report

Scenario: Create a document summarizing all feature requests from the past week
1

Filter Signals

  • Go to Signals section
  • Filter: Type = “Feature Request”
  • Filter: Date = “Last 7 days”
  • Filter: Interaction = “External”
2

Save as Dataset

  • Click “Save as Dataset”
  • Name: “Weekly Feature Requests”
3

Generate Document from Dataset

  • Go to Documents section
  • Click “Create Document”
  • Choose template (e.g., “Status Update” or custom report template)
4

Add Dataset as Source

  • In Data step, click “Datasets” tab
  • Select “Weekly Feature Requests” dataset
5

Configure

  • Title: “Weekly Feature Request Report - [Date]”
  • Focus: “Group by customer account and prioritize by frequency”
  • Generation Style: Theme Discovery
  • Data Format: Key Insights (using signals)
  • Visibility: Workspace
6

Generate and Share

  • Generate document
  • Review and edit as needed
  • Copy to share in Slack/email
  • Or share BuildBetter link with team

Example 4: Customer Feedback Summary (Multiple Sources)

Scenario: Combine calls, support tickets, and survey responses into one comprehensive report
1

Prepare Sources

Create a folder called “Q1 Customer Feedback” containing:
  • Customer calls from the quarter
  • Imported Zendesk conversations
  • Survey responses (if using Typeform/Pendo integration)
2

Create Document

  • Go to Documents > Create Document
  • Choose a report or summary template
3

Add Folder

  • Select “Q1 Customer Feedback” folder as source
  • All content types automatically included
4

Configure Generation

  • Title: “Q1 Customer Feedback Report”
  • Focus: “Identify top pain points, feature requests, and satisfaction trends. Group findings by theme.”
  • Generation Style: Theme Discovery (for large dataset)
  • Data Format: Key Insights
5

Generate Multi-Source Report

  • Generate document
  • AI analyzes across all source types
  • Themes emerge from combined data
Combining multiple data source types (calls + tickets + surveys) provides a more complete view than any single source alone.

Example 5: Using Document Chat for Refinement

Scenario: The generated document is good but needs specific additions
1

Open Generated Document

Open your newly created document
2

Access Document Chat

Click the chat icon in the top-right corner
3

Ask for Additions

In the chat, request specific changes:
  • “Add a section about pricing concerns mentioned in the calls”
  • “Extract all timeline requirements mentioned”
  • “What specific API endpoints were discussed?”
4

Apply AI Suggestions

  • Review AI’s response in chat
  • Copy relevant content
  • Paste into your document
  • Edit to integrate smoothly
Use document chat to iterate on content instead of regenerating the entire document. It’s faster and preserves your manual edits.

Document Generation Best Practices

Choose the right template: Match template to document purpose (PRD for requirements, Meeting Summary for notes)
Use appropriate generation style: Focused Analysis for 1-10 sources, Theme Discovery for 10+ sources
Provide specific focus: Detailed instructions produce better targeted content
Start with fewer sources: Test with 2-3 calls before generating from 50+
Edit after generation: AI provides a strong starting point - add your expertise

Common Document Types

Meeting Notes

  • Template: Meeting Summary
  • Sources: Single call
  • Format: Full Context
  • Use: Quick professional notes after any meeting

Product Requirements

  • Template: Product Requirements Document (PRD)
  • Sources: Multiple customer calls or folder
  • Format: Full Context or Key Insights
  • Use: Feature planning and development specs

Status Reports

  • Template: Status Update
  • Sources: Signal dataset or folder
  • Format: Key Insights
  • Use: Weekly/monthly progress reports

User Stories

  • Template: User Stories
  • Sources: Research calls or feedback signals
  • Format: Full Context
  • Use: Development planning and sprint work
Always review AI-generated documents before sharing externally. Verify accuracy of technical details and customer quotes.
For detailed documentation on document generation, see: