voice-of-the-customer

(5)
Story
Four Ways Software Tries to Hear Your Users
Saas · Developer Tools · Enterprise

Four Ways Software Tries to Hear Your Users

Mopinion, Lyssna, Dovetail and PostHog all promise to tell you what your customers think. They just disagree, deeply, on how to find out.

user-research · customer-feedbackRead →
Story
Customer Feedback Software Split Into Four Very Different Bets
Saas · Enterprise · Developer Tools

Customer Feedback Software Split Into Four Very Different Bets

UserVoice, InMoment, Mopinion and Aurelius all promise to capture what customers think. They just disagree, completely, on what a company should do next.

customer-feedback · voice-of-the-customerRead →
Story
The Race to Turn Customer Complaints Into a Product Roadmap
Saas · Ai · Enterprise

The Race to Turn Customer Complaints Into a Product Roadmap

Eight companies, from scrappy startups to a $6.4 billion giant, are betting they can read every angry review, support ticket and feature request faster than your product team ever could. Here is how the feedback-intelligence market actually shakes out.

customer-feedback · voice-of-the-customerRead →
Story
Eight Feedback Tools Fighting for Your Customer's Voice
Saas · Ai · Enterprise

Eight Feedback Tools Fighting for Your Customer's Voice

SentiSum, airfocus, Contentsquare, Feedier, Nolt, Featurebase, Condens and Mopinion all promise to tell you what customers really want. Here is how the feedback-tool landscape actually splits up - and which slice each one owns.

customer-feedback · voice-of-the-customerRead →
Story
The 2% Problem: Why Your QA Scorecard Isn't Telling You About Your Customers
Contact Center Qa · Conversational Analytics · Spiral By Ujet

The 2% Problem: Why Your QA Scorecard Isn't Telling You About Your Customers

Traditional contact center QA reviews roughly 2% of calls and reports the result as if it describes the whole operation. This page frames the choice between sampling and reading 100% of conversations as an architectural decision rather than a feature difference, comparing how CallMiner, NICE Nexidia, Qualtrics XM Discover, and Spiral by UJET handle coverage, discovery of unknown issues, setup time, and whether output reaches a product team or stops at a QA scorecard. The core argument: a 2% sample tells you about your scorecard, not about your customers.

contact-center-qa · conversational-analyticsRead →