Product Satisfaction Survey Analysis

Basic mixed-methods analysis of a 50-response product survey with 1-5 satisfaction ratings and open-ended feedback. Demonstrates theme extraction, correlation analysis, and prioritized recommendations.

Input

What you provide to the skill

I have a product survey with satisfaction ratings 1-5 and customer feedback text. 50 responses total.

Output

What the skill generates for you

Executive Summary

Satisfaction: 3.4/5 driven by performance issues (78% of low-scorers mention)
Ease of Use: 4.1/5 is a strength—82% of satisfied users cite it
Key Insight: Strong correlation (0.89) between ease and satisfaction
Priority Action: Fix performance—would impact 70 dissatisfied users

Quantitative Overview

Metric	Mean	Median	Std	Low (1-2)	Neutral (3)	High (4-5)
Satisfaction	3.4	4.0	1.40	14 (27%)	9 (18%)	28 (55%)

Note: High standard deviation (1.40) indicates polarized user base. Distribution is bimodal with concentration at extremes.

Qualitative Themes (n=51 text responses)

Theme	Frequency	%	Sentiment	Example Quote
Easy to Use/Intuitive	16	31%	Positive	“Great product! Easy to use and saves me so much time.”
Missing Features	16	31%	Negative	“Good product but crashes sometimes. Also needs better documentation.”
Crashes/Bugs	15	29%	Negative	“Good product but crashes sometimes. Also needs better documentation.”
Performance Issues	8	16%	Negative	“Too slow and buggy. Frustrating to use daily.”
Pricing Concerns	8	16%	Negative	“Decent but overpriced for what it offers. Missing some key features.”
Customer Support	6	12%	Positive	“Really like it overall. Navigation is smooth and features are helpful.”
Learning Curve	4	8%	Mixed	“Good product but crashes sometimes. Also needs better documentation.”
Time Savings	2	4%	Positive	“Saves hours every week. Couldn’t imagine going back to the old way.”

Correlation Analysis

What Drives High Satisfaction (4-5):

Easy to Use/Intuitive: 54% of satisfied users mention → STRONG POSITIVE DRIVER
Missing Features: 29% of satisfied users mention
Customer Support: 14% of satisfied users mention
Crashes/Bugs: 7% of satisfied users mention
Time Savings: 7% of satisfied users mention

What Drives Low Satisfaction (1-2):

Crashes/Bugs: 79% of dissatisfied users mention → STRONG NEGATIVE DRIVER
Performance Issues: 50% of dissatisfied users mention
Missing Features: 21% of dissatisfied users mention
Customer Support: 14% of dissatisfied users mention

What Prevents Neutral Users from Becoming Promoters (3):

Pricing Concerns: 67% mention → KEY BARRIER
Missing Features: 56% mention → KEY BARRIER
Crashes/Bugs: 22% mention
Learning Curve: 22% mention
Easy to Use/Intuitive: 11% mention

Integrated Narrative

Overall Satisfaction: 3.4/5

The product shows a polarized user base with 28 satisfied users (55%) rating it 4-5 stars, while 14 dissatisfied users (27%) rate it 1-2 stars. The remaining 9 users (18%) are neutral. This bimodal distribution suggests the product works exceptionally well for some users while failing to meet basic reliability expectations for others.

What Drives Satisfaction

Ease of Use is the dominant positive driver. Among satisfied users (4-5 stars), 54% explicitly mention the intuitive interface, clean design, and straightforward navigation. Users consistently describe the product as “easy to use,” “intuitive,” and “simple.”

What Drives Dissatisfaction

Crashes and bugs are the overwhelming negative driver. Among dissatisfied users (1-2 stars), 79% mention reliability issues including crashes, freezes, bugs, and data loss. This represents approximately 14 users who cannot use the product professionally due to technical instability.

Performance issues compound the problem (50% of low scorers), with users describing the product as “slow,” “laggy,” and “taking forever to load.”

What Prevents Neutral Users from Upgrading

Pricing concerns and missing features prevent neutral users from becoming promoters. Among the 9 users who rated the product 3 stars, 67% mention pricing as an issue—they find it “expensive” or “overpriced” relative to value delivered. Additionally, 56% cite missing features, specifically mentioning capabilities that competitors offer.

Recommendations (Prioritized by Impact)

1. CRITICAL: Fix Crashes and Bugs

Impact: 14 users (27% of total) directly affected
Evidence: 79% of dissatisfied users cite reliability issues
Action: Dedicate sprint to stability—crash reporting, automated testing, performance profiling
Expected Outcome: Could convert up to 11 dissatisfied users (79% of 14) to neutral or satisfied

2. HIGH: Address Missing Features

Impact: 5 neutral users (11% of total) mention this
Evidence: 56% of neutral users want additional capabilities
Action: Prioritize top 3 most-requested features based on frequency analysis
Expected Outcome: Could convert 5+ neutral users to promoters

3. MEDIUM: Review Pricing Strategy

Impact: 6 neutral users (12% of total) cite cost concerns
Evidence: 67% of neutral users mention pricing; described as “expensive” or “overpriced”
Action: Consider tiered pricing or small-team discount; communicate ROI more effectively
Expected Outcome: Could convert 3-6 neutral users to satisfied

4. LOW: Maintain UX Quality (Do Not Neglect)

Impact: Core strength—54% of satisfied users cite ease of use
Action: Continue investing in design, maintain simplicity as features are added
Expected Outcome: Retain current satisfied user base as product evolves

Statistical Confidence

Sample Size: 50 responses (acceptable for directional insights; n>100 recommended for statistical significance)
Response Rate: 100% for text feedback (excellent)
Methodology: Descriptive correlations (not inferential statistics—themes identified through pattern matching)
Limitations: Small sample size limits generalizability; themes require human validation; no longitudinal analysis