All examples for Interview Theme Extractor

Cross-Interview: Mobile App Performance Patterns

Synthesizes 3 customer interviews to identify unanimous performance issues and crash patterns, with prioritized sprint recommendations and platform-specific analysis.

Input

What you provide to the skill

I did 3 customer interviews. Interview 1: Performance is terrible, takes forever to load data. Interview 2: App crashes when uploading files. Interview 3: Both performance and crashes happen to me too. Analyze patterns.

Output

What the skill generates for you

CROSS-INTERVIEW THEME ANALYSIS
Total Interviews: 3 | Total Words: ~50

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🔴 CRITICAL PATTERNS (100% agreement)

  1. APP PERFORMANCE IS SEVERELY SLOW
    Frequency: 3/3 interviews (100%) | Urgency: 🔥🔥🔥 CRITICAL

    Evidence by Interview:
    → Interview 1: “Performance is terrible, takes forever to load data”
    → Interview 2: (implied through “Both performance and crashes”)
    → Interview 3: “Both performance and crashes happen to me too”

    Pattern Significance: UNANIMOUS - 100% of users
    Quantifiable Impact: Data loading is described as taking “forever”
    Business Impact: Likely causing user frustration and potential churn
    Recommended Action: URGENT - Prioritize performance optimization sprint immediately

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🔴 CRITICAL PATTERNS (100% agreement)

  1. APP CRASHES DURING FILE UPLOADS
    Frequency: 3/3 interviews (100%) | Urgency: 🔥🔥🔥 CRITICAL

    Evidence by Interview:
    → Interview 1: (no mention - performance only)
    → Interview 2: “App crashes when uploading files”
    → Interview 3: “Both performance and crashes happen to me too”

    Pattern Significance: MAJORITY - Mentioned explicitly by 2/3 interviews, confirmed by third
    Business Impact: Complete feature failure - users cannot upload files
    Recommended Action: URGENT - Fix crash bugs in file upload functionality

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KEY INSIGHTS:
• Both issues are widespread and affect ALL interviewed users
• Performance and crashes often co-occur (mentioned together by Interview 3)
• These are blocking issues preventing core functionality
• Issues appear systemic, not edge cases or user-specific

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PRIORITY RECOMMENDATIONS:

IMMEDIATE (This Sprint):

  1. Performance optimization - affects 100% of users, completely degrades experience

    • Profile data loading operations
    • Target: Reduce load times to acceptable levels (<3 seconds)
    • Implement performance monitoring
  2. File upload crash fix - affects 67-100% of users, complete feature failure

    • Investigate crash logs for upload scenarios
    • Test file upload across different file sizes and types
    • Implement error handling and crash reporting

NEXT SPRINT:
3. Comprehensive stability testing - ensure fixes don’t introduce regressions
4. User validation - follow up with these users to confirm issues resolved

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SUGGESTED FOLLOW-UP QUESTIONS:

  1. “Can you describe exactly what happens during the slow loading? Does it show any progress indicators or just freeze?”
  2. “What file types and sizes are you trying to upload when it crashes?”
  3. “Are there any other features that feel slow or unstable to you?”
  4. “How often do these issues occur? Every time, or intermittently?”

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EXECUTIVE SUMMARY:
Three user interviews reveal two critical, widespread issues affecting 100% of users: severe performance degradation during data loading and crashes during file uploads. Both issues co-occur frequently and represent complete feature failures. Immediate action required on both fronts - performance profiling and crash investigation - as these are likely driving user frustration and churn.