Analyze Your Transcripts with AI

Give me a 3-bullet summary of the main issues users encountered in these testing sessions.

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Identify every moment where users expressed confusion, hesitation, or got stuck. For each one:
- Quote their exact words
- Note what task/screen they were on
- Rate severity (minor friction / significant blocker / critical failure)

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Analyze the emotional tone throughout these testing sessions. Identify:
- Moments of frustration or negativity (with quotes)
- Moments of delight or positive surprise (with quotes)
- Overall sentiment score for each user (1-10)
- Which features/flows generated the strongest reactions

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Find any positive quotes from these testing sessions that could work as testimonials or social proof. Look for:
- Expressions of delight or satisfaction
- Comparisons to competitors (favorable)
- "Aha moments" where users understood the value
- Statements about recommending to others

Format each quote with the user's name and what they were reacting to.

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Turn these user testing findings into a prioritized task list. For each issue found:
- Describe the fix needed
- Estimate effort: Quick fix (< 1 hour) / Medium (1-4 hours) / Significant (1+ days)
- Rate impact: Low / Medium / High
- Sort by impact (highest first)

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Write a 2-3 paragraph executive summary of this user testing that I can share with my team or stakeholders. Include:
- Number of users tested and their profile
- The 2-3 most critical findings
- Recommended immediate actions
- Overall assessment of product usability

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Analyze these user testing transcripts and create a comprehensive report:

## 1. User Summary
Who was tested? Note any relevant characteristics or experience levels mentioned.

## 2. Key Themes (3-5)
Group the feedback into major themes. For each theme:
- Give it a clear name
- Explain the pattern you observed
- Include 2-3 direct quotes as evidence
- Suggest how to address it

## 3. Screen-by-Screen Breakdown
Walk through each part of the product that was tested:
- What worked well
- What caused friction
- Specific issues found

## 4. Priority Recommendations
List the top 5 fixes, ranked by impact. For each:
- What to change
- Why it matters
- Expected improvement

## 5. Next Steps
Concrete action items to implement these findings.

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Compare these testing sessions and identify:

**Patterns (issues that appeared for multiple users):**
- List each recurring issue
- Note how many users encountered it
- Include quotes from different users about the same problem

**Unique Issues (problems specific to one user):**
- What was unique to their session
- Why it might have affected only them (experience level, use case, etc.)

**Consensus:**
- What did ALL users agree on (positive or negative)?
- What were the most divisive elements?

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Evaluate this product against standard UX heuristics based on what users experienced. For each applicable heuristic, note issues found:

1. **Visibility of system status** - Did users know what was happening?
2. **Match with real world** - Did language/concepts make sense?
3. **User control & freedom** - Could users easily undo/escape?
4. **Consistency** - Were patterns predictable?
5. **Error prevention** - Did the design prevent mistakes?
6. **Recognition over recall** - Was information visible when needed?
7. **Flexibility** - Did it work for different user types?
8. **Minimalist design** - Was there unnecessary complexity?
9. **Error recovery** - Could users recover from mistakes?
10. **Help & documentation** - Was guidance available when needed?

Include specific quotes and moments from the transcripts as evidence.

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Based on these testing sessions, analyze any mentions of competitors or alternative solutions:

- Which competitors/alternatives did users mention?
- What comparisons did they make (favorable or unfavorable)?
- What features did they expect based on other products?
- Where does this product fall short of expectations set by competitors?
- Where does this product exceed what users expected?

If users didn't mention competitors directly, note any expectations that seem to come from prior experience with similar tools.

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