Your NPS Score Tells You How. Metricsense Tells You Why.
An NPS score of 32 tells you nothing about what to fix. Metricsense analyzes the open-ended text responses that come after the score, the part where customers actually explain their reasoning, and lets you define any insight in plain English. Every insight links to the original customer quote.
The problem
The Number Is Useless Without the "Why"
NPS dropped 8 points this quarter. The BI dashboard shows the number. But to figure out why, someone has to manually read thousands of open-text responses. Nobody has time.
Open-Text Responses Get Ignored
Most teams collect NPS scores but never systematically analyze the open-ended question. The richest source of feedback, where customers explain what they actually think, goes unread.
Themes Change Between Survey Rounds
In Q1, customers complained about onboarding. In Q3, the complaints shifted to billing. Without tracking themes over time, the team thinks nothing changed because the NPS score stayed flat.
Only Seeing Feedback That Agrees With You
After launching a new feature, PMs unconsciously focus on responses that praise it and skip the ones that criticize it. Without structured analysis, confirmation bias drives the roadmap.
How Metricsense solves it
Upload your survey data
Import NPS, CSAT, or any survey responses via CSV. During upload, map your columns: score, open-text response, date, customer segment. Metricsense handles the rest.
Define your insights
"What is the primary complaint in this response?" "Classify this feedback: pricing, product quality, support, onboarding, or performance." "Is this customer mentioning a competitor?" Metricsense applies each definition to every response and returns structured, categorized results.
See what's driving low scores
Filter by score range and see exactly what unhappy customers are saying. "Billing confusion" shows up in 60% of low-score responses but only 5% of high-score ones. Now you know what to fix first.
“A SaaS company ran NPS surveys quarterly but only looked at the score. When they used Metricsense to analyze the open-text responses, they discovered that "slow dashboard loading" was mentioned in 45% of low-score responses. A theme that never appeared in their support ticket system because users were frustrated but not filing tickets.”
Frequently asked questions
Metricsense accepts any survey data in CSV format. Upload your NPS, CSAT, CES, or custom survey responses. During upload, you map the columns (score, open-text response, date, customer segment) and start defining insights immediately.
Yes. Metricsense can show you which themes appear in low-score responses vs. high-score responses, helping you identify exactly what drives low scores.
Yes. Upload your NPS data alongside app reviews, support tickets, or call transcripts. Metricsense can answer cross-source questions: "Do the same issues appear in NPS low-score responses and 1-star app reviews?"
Yes. Metricsense analyzes the open-ended text from any survey type. The methodology is the same: upload, define, get evidence-backed answers.
Your NPS score is lying to you. Find out what's really happening.
Upload your survey data and define your first insight. Free, no credit card required.