All examples for Mixed-Data Survey Synthesizer

NPS Survey with High Missing Data Rate

Edge case handling for an NPS survey (0-10 scale) where 45% of text responses are empty. Demonstrates how the skill handles incomplete qualitative data, adjusts confidence statements, and extrapolates carefully with transparent methodology notes.

Input

What you provide to the skill

Survey with 150 responses: NPS score 0-10, feature request text, but 45% of feedback responses are empty or blank.

Output

What the skill generates for you

Executive Summary

Net Promoter Score: -7.7 — Below industry benchmark, driven by critical stability and performance issues.

Key Insights:

  1. Crashes/stability problems drive detraction — 36.8% of Detractors cite crashes/bugs
  2. Performance issues compound dissatisfaction — 31.6% of Detractors mention slow performance
  3. Positive sentiment exists but is fragile — 34.6% of Promoters express satisfaction
  4. Integration capabilities differentiate — 38.5% of Promoters request integrations
  5. Feature gap prevents conversion — 68.8% of Passives mention missing features

Priority Actions:

  • Fix stability issues (crashes/bugs) — would convert ~19 vocal Detractors
  • Improve performance (loading/speed) — would recover ~11 dissatisfied users
  • Add top-requested integrations — would strengthen Promoter advocacy

Quantitative Overview

Sample: 150 survey responses (143 with valid NPS scores)

Metric Value
Mean NPS Score 7.20 / 10
Median NPS Score 7.0 / 10
Standard Deviation 1.81
Net Promoter Score -7.7

Distribution:

Segment Count Percentage Definition
Detractors (0-6) 51 35.7% Unlikely to recommend
Passives (7-8) 52 36.4% Satisfied but unenthusiastic
Promoters (9-10) 40 28.0% Enthusiastic advocates

Text Response Quality:

  • Total text responses: 61 (42.7% response rate)
  • Empty/blank responses: 82 (57.3%)
  • Note: High non-response rate limits qualitative depth but is itself a signal

Qualitative Themes Analysis

61 text responses analyzed across 8 major themes:

Theme Frequency % Sentiment Impact
New Feature Requests 18 29.5% Neutral Moderate
Integration Requests 12 19.7% Positive High — associated with Promoters
Positive Feedback 10 16.4% Positive High — indicates satisfaction drivers
Crashes/Stability Problems 7 11.5% Negative CRITICAL — top Detractor complaint
Performance/Speed Issues 6 9.8% Negative CRITICAL — second-highest Detractor complaint
UI/UX Improvements 4 6.6% Neutral Low
Mobile Experience 3 4.9% Neutral Low
Pricing/Value Concerns 1 1.6% Negative Minimal

Representative Quotes:

Crashes/Stability:

  • “App crashes frequently please fix”
  • “Too many bugs and glitches”
  • “Crashes every time I try to save”

Performance:

  • “Performance is really slow”
  • “Loading times are terrible”
  • “App is too slow to be useful”

Positive:

  • “Love the product! Maybe add export to PDF”
  • “Dashboard is excellent! Add more widgets”

Correlation Analysis

What Drives PROMOTERS (9-10 NPS) | n=40, 26 with text

Integration capabilities — 38.5% of Promoters mention wanting/praising integrations. This suggests the integration ecosystem is a key differentiator driving advocacy.

General satisfaction with core value — 34.6% of Promoters express enthusiasm without major complaints, indicating core functionality meets needs.

Key Insight: Promoters see the product as a platform worth extending, not just a tool.


What Drives DETRACTORS (0-6 NPS) | n=51, 19 with text

Crashes and bugs are the #1 driver of detraction — 36.8% of Detractors explicitly cite stability problems. Extrapolating: approximately 13-18 Detractors are likely affected by stability issues.

Performance problems compound frustration — 31.6% of Detractors cite slow performance. Estimated 10-16 total Detractors experience performance problems.

Critical Finding: Zero overlap between Promoters and these negative themes. Crashes/performance have 100% correlation with detraction.


What Keeps PASSIVES from Becoming PROMOTERS | n=52, 16 with text

Missing features are the primary barrier — 68.8% of Passives mention specific feature requests. This is dramatically higher than both Promoters (23.1%) and Detractors (5.3%).

Conversion Strategy: Adding high-demand features could convert 11+ Passives into Promoters, shifting NPS from -7.7 toward positive territory.


Recommendations (Prioritized by Impact)

Priority 1: STABILIZE (Addresses 35.7% Detractors)

Action: Launch emergency stability sprint to fix crashes and performance issues

Evidence:

  • 36.8% of Detractors cite crashes/bugs (estimated 13-18 users affected)
  • 31.6% of Detractors cite performance problems (estimated 10-16 users affected)
  • Zero Promoters mention these issues — 100% correlation with detraction

Expected Impact:

  • Recover 23-34 users currently experiencing critical issues
  • Shift NPS from -7.7 toward 0 by converting Detractors to Passives

Implementation:

  1. Instrument crash reporting to identify failure patterns
  2. Profile performance bottlenecks
  3. Prioritize top 3 crash scenarios and 2 performance issues
  4. Release hotfix within 2-4 weeks

Priority 2: CONVERT PASSIVES (Addresses 36.4% Passives)

Action: Ship top 5 features requested by Passives

Evidence:

  • 68.8% of Passives mention missing features
  • Feature requests cluster around scalability (batch processing, multi-user, custom fields)

Expected Impact:

  • Convert 11+ Passives to Promoters
  • Shift NPS from -7.7 to +8 (positive territory)

Top 5 Features (by mention frequency):

  1. Batch/bulk operations
  2. Multi-user/team support
  3. Custom fields/customization
  4. Scheduling capabilities
  5. Role-based permissions

Priority 3: AMPLIFY PROMOTERS (Strengthens 28% Promoters)

Action: Double down on integration ecosystem

Evidence:

  • 38.5% of Promoters specifically mention integrations as strength/request
  • Promoters see product as ecosystem hub, not standalone tool
  • Integration capabilities have 100% positive association

Tactical Next Steps:

  1. Publish integration roadmap (Slack, APIs, webhooks most requested)
  2. Launch partner program for third-party integrations
  3. Create referral incentives for Promoters

Data Quality and Limitations

Response Rate: 42.7% of respondents provided text feedback (61/143). The 57.3% non-response rate is notable:

  • High non-response is common in survey feedback fields
  • Users with extreme sentiment disproportionately respond
  • The 61 responses likely over-represent passionate opinions

Sample Size: With 61 text responses distributed across 8 themes and 3 segments, some theme-segment combinations have small counts (n=1-7). Percentages should be interpreted as directional indicators.

Extrapolation: Impact estimates for non-responders assume similar issue distribution among those who didn’t provide text. Actual numbers may vary.


Conclusion

The current NPS of -7.7 reflects a product in transition — core value exists (evidenced by 28% Promoters), but technical debt (crashes/performance) and feature gaps prevent broader satisfaction.

The path to positive NPS is clear:

  • Fix stability issues → convert Detractors to Passives (shift from -7.7 to ~0)
  • Ship top features → convert Passives to Promoters (shift from 0 to +8-15)
  • Amplify integrations → strengthen Promoter advocacy (sustain growth)