Qualtrics XM vs Medallia vs InMoment: 11 Best Voice of Customer (VoC) Software 2026

Best for Omnichannel feedback collection

Qualtrics XM (#1, 9.2/9.4). The widest collection and strongest verbatim analytics in one platform. It also handles Experience management at scale.

Best for High-volume signal capture

Medallia (#2, 8.9/9.4). Enterprise-scale capture with strong front-line closed loops. It also handles Front-line action alerts.

Best for Integrated text and speech analytics

InMoment (#3, 8.6/9.4). Integrated VoC with strong text analytics and services. It also handles Experience improvement programs.

Best for Social and digital VoC

Sprinklr (#4, 8.4/9.4). Unified-CXM with deep social and digital listening. It also handles Unified customer experience management.

Best for Contact center voice analytics

Verint (#5, 8.3/9.4). VoC integrated with contact center quality management. It also handles Automated quality management.

Best for AI-native feedback aggregation

Unwrap.ai (#11, unrated wildcard). AI-native aggregation that summarizes feedback with little setup. It also handles Product feedback prioritization.

What does voice of customer software actually do?

Voice of customer software collects feedback from every channel a customer uses, then uses text analytics to tell you what they are saying and why, so you can act on it. It pulls survey responses, review sites, support tickets, in-app ratings, and sometimes call transcripts into one place, scores sentiment and detects recurring themes without a person reading each comment, and then routes a signal like a low NPS score to an owner as an alert or a case. Tools like Qualtrics and Medallia close the loop by tracking that the follow-up actually happened, which a survey tool alone does not.

How is VoC software different from a survey tool?

A survey tool sends questionnaires and reports the results, while VoC software adds omnichannel collection, machine text analytics, and closed-loop action on top. A survey platform tells you your NPS is 32; a VoC platform tells you the three themes dragging it down, which segments feel them most, and assigns a case to the account manager for each detractor. Many VoC tools include survey capability, so the distinction is scope: VoC treats the survey as one input among reviews, tickets, and social rather than the whole program.

How to choose

1. 1First, map your feedback sources honestly. If most signal is structured survey and NPS data, InMoment or Forsta fit well; if it is spread across social, reviews, and support tickets, Sprinklr or Qualtrics handle the breadth better.
2. 2Second, decide whether analytics or action is your weak point. If verbatims pile up uncoded, prioritize text analytics depth from Qualtrics, Chattermill, or Thematic; if feedback is analyzed but nobody follows up, prioritize the case management and alerting in Medallia or Verint.
3. 3Finally, pilot on your own verbatims before signing. Text analytics accuracy varies a lot by industry vocabulary, so load a few thousand of your real comments and check whether the themes it surfaces match what your team already knows to be true.

What is voice of customer software?

Voice of customer software is a platform that captures customer feedback across channels such as surveys, reviews, support interactions, and social media, then analyzes it with natural language processing to reveal themes and sentiment, and routes findings into action workflows. The goal is to give a company one continuous read on what customers think and to make sure detractor signals trigger a real follow-up rather than sitting in a report.

What is the best voice of customer software for enterprise?

Qualtrics XM and Medallia are the leading enterprise voice of customer platforms because they capture feedback at very high volume across many channels, include mature text and speech analytics, and support closed-loop case management across large teams. The choice between them often comes down to whether experience research breadth (Qualtrics) or front-line operational action (Medallia) is the bigger priority.

Do voice of customer tools use AI?

Yes, modern voice of customer tools rely heavily on AI for text and sentiment analytics. Natural language processing reads open-ended verbatims to detect themes, score sentiment, and tag emotion or intent without manual coding, and newer tools like Chattermill, Thematic, and Unwrap use large language models to summarize feedback and suggest what to fix. AI is what separates a VoC platform from a survey tool that only reports numbers.

How much does voice of customer software cost?

Voice of customer pricing is mostly quote-based and scales with response volume, channels, and users. Enterprise platforms like Qualtrics, Medallia, and InMoment are commonly quoted annually and often reach five to six figures per year, while more focused analytics tools such as Thematic and Chattermill start lower, and product-feedback tools like UserVoice publish plans from roughly $900 per month. Implementation and services can add materially to the first-year total.