All examples for Survey Theme Extractor

Quick Product Frustration Analysis

Analyzes a small set of product frustration responses, extracting themes around performance, pricing, and usability with appropriate caveats about sample size limitations.

Input

What you provide to the skill

What frustrated you most about the product? 1. Too slow 2. Expensive 3. Confusing interface

Output

What the skill generates for you

SURVEY THEME ANALYSIS
Question: “What frustrated you most about the product?”
Total Responses: 3

THEMES IDENTIFIED:

  1. PERFORMANCE ISSUES (1 mention, 33.3%) HIGH PRIORITY
    Sentiment: Highly Negative (avg: -0.9/1.0)

    Sub-themes:

    • Speed/responsiveness (1 mention)

    Representative Quotes:
    → “Too slow”

    Urgency: HIGH - Directly impacts usability and user experience

  2. PRICING CONCERNS (1 mention, 33.3%) MEDIUM PRIORITY
    Sentiment: Negative (avg: -0.7/1.0)

    Sub-themes:

    • Cost too high (1 mention)

    Representative Quotes:
    → “Expensive”

    Urgency: MEDIUM - Affects purchasing decisions and retention

  3. USABILITY & INTERFACE (1 mention, 33.3%) HIGH PRIORITY
    Sentiment: Negative (avg: -0.7/1.0)

    Sub-themes:

    • Interface clarity/complexity (1 mention)

    Representative Quotes:
    → “Confusing interface”

    Urgency: HIGH - Creates friction in adoption and daily use

INSIGHTS SUMMARY:
• Each of the three core product issues (performance, pricing, usability) received equal mentions
• All three themes represent fundamental product quality concerns
• Sample size is very small (3 responses) - findings show individual frustrations rather than patterns

RECOMMENDED ACTIONS:

IMMEDIATE:

  1. Performance audit - investigate speed bottlenecks and optimize critical paths
  2. UX evaluation - conduct usability testing to identify interface pain points

NEXT QUARTER:
3. Pricing analysis - benchmark against competitors and assess value perception
4. Interface redesign - simplify navigation and improve information architecture

FUTURE:
5. Gather additional user feedback (target 50+ responses) for statistically significant insights