Shorter Loop's attachment feature allows you to upload research documents, interview transcripts, and other customer data to automatically generate persona insights. The AI analyzes your uploaded content and creates relevant entries for Jobs to be Done, Pains, Needs, and Gains, streamlining your persona development process.Understanding Automatic Insight Generation:#
Word documents (.doc, .docx)
Excel spreadsheets (.xls, .xlsx)
PowerPoint presentations (.ppt, .pptx)
AI Analysis Capabilities:Content Extraction: Identifies key themes and insights from your documents
Pattern Recognition: Finds common pain points, needs, and desired outcomes
Contextual Understanding: Connects insights to relevant persona sections
Automatic Categorization: Sorts insights into appropriate persona elements
Step-by-Step File Upload Process:#
Step 1: Access the Attachments SectionNavigate to the "Attachments" section in your persona canvas
You'll see the upload area with "ADD ATTACHMENTS" button
The section includes guidance text about supported file types and AI capabilities
Step 2: Upload Your Research FilesClick "ADD ATTACHMENTS" to browse and select files
Drag and drop files directly into the upload area
Multiple file upload supported for comprehensive analysis
Recommended Files to Upload:Customer interview transcripts
Customer feedback compilations
Market research documents
Competitive analysis reports
Step 3: AI Processing and AnalysisAI analyzes uploaded content for relevant customer insights
System identifies patterns, themes, and key data points
Content is processed to extract actionable persona elements
Analysis typically completes within minutes depending on file size
Jobs to be Done: Tasks and objectives mentioned by customers
Pain Points: Frustrations, challenges, and obstacles identified
Needs: Requirements and must-haves expressed by customers
Gains: Desired outcomes and success metrics mentioned
Quotes: Authentic customer language and expressions
Step 4: Review and Apply Generated InsightsAI-generated insights appear as suggestions in relevant persona sections
Review each suggestion for accuracy and relevance
Edit and customize insights to match your specific context
Accept, modify, or reject suggestions based on your judgment
Advanced Attachment Strategies:#
Research Integration Workflow:1.
Upload Core Research: Start with primary customer interview data
2.
Add Supporting Data: Include surveys, feedback, and observational research
3.
Review AI Insights: Analyze generated suggestions for accuracy and completeness
4.
Customize Content: Edit AI insights to match your specific customer language
5.
Validate Results: Cross-check AI insights against your original research
Interview Transcripts: Rich qualitative insights about customer experiences
Survey Data: Quantitative validation of pain points and preferences
Support Tickets: Real-world problems and frustration patterns
Sales Call Notes: Insights into customer decision-making processes
Troubleshooting Common Issues:#
File Size: Ensure files are within size limits
Format Support: Verify file types are supported
Content Quality: Check that files contain readable, relevant text
Network Issues: Ensure stable internet connection for large uploads
Poor Quality Insights: May indicate unclear or irrelevant source content
Missing Insights: Could suggest files lack sufficient customer data
Generic Suggestions: Might need more specific, detailed source material
Inconsistent Results: May require better file organization or cleaner data
Pro Tip:
Upload interview transcripts first, as they typically provide the richest source of customer language and insights. The AI works best with authentic customer voices and specific examples.
File Strategy:
Create a research file library with standardized naming conventions. This makes it easier to find and upload relevant documents for different personas and ensures consistency across your team.