CallMiner: CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance. UserCall: AI-moderated voice user interview tool that runs qualitative discovery calls and turns transcripts into evidence-linked themes. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CallMiner when contact centers monitoring agent performance and automating quality scoring and coaching matters most, and UserCall when triggering qualitative interviews after key in-product events matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance.
AI-moderated voice user interview tool that runs qualitative discovery calls and turns transcripts into evidence-linked themes.
CallMiner is an enterprise speech and conversation analytics platform, built around its Eureka product, that captures and analyzes customer interactions across voice and digital channels. It records and transcribes calls into text, then applies acoustic and linguistic AI to surface sentiment, emotion, intent, and behavioral signals — quantifying frustration, effort, satisfaction, and confidence rather than sampling a fraction of conversations. Designed for contact centers and large enterprises, it spans modules for analysis, automated agent scoring and coaching, real-time guidance during live calls, automated redaction of sensitive data, multilingual translation, and interactive dashboards. CallMiner ingests voice, chat, email, surveys, social media, and screen recordings, applying scoring models to isolate compliance risks, fraud, quality issues, and sales outcomes. It also includes generative and agentic AI features such as automatic category creation, contact summarization, and natural-language discovery. The platform is used across healthcare, finance, retail, insurance, and BPO sectors, and was named a leader in The Forrester Wave: Conversation Intelligence Solutions for Contact Centers, Q2 2025.
Best suited for
UserCall is a qualitative research platform centered on AI-moderated voice (and text) user interviews. Researchers create a custom AI interviewer link, and the AI conducts structured one-to-one conversations using qualitative research best practices, asking adaptive follow-up questions to probe for depth that surveys typically miss. Sessions can run from a few minutes up to around 45 minutes and support 30-plus languages with customizable voices, with AI-powered translation and moderation for reaching global audiences. Interviews can be triggered automatically after key product moments such as signup, onboarding friction, upgrade hesitation, feature adoption, cancellation, or checkout abandonment, and the platform connects with analytics tools including PostHog, GA4, Mixpanel, Amplitude, and Segment. On the analysis side, UserCall converts interview transcripts into organized theme hierarchies with tagged excerpts, links conclusions back to supporting quotes, and offers an AI chat for custom exploration and pattern detection across the collected data. It is positioned for continuous discovery, voice-of-customer programs, and large-scale qualitative studies where scheduling many human-moderated sessions would be impractical. Pricing varies by plan. Check the official website for current pricing.
Best suited for
CallMiner is custom pricing (contact sales); UserCall is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | CallMiner | UserCall |
|---|---|---|
| Core capability | Automatic transcription of voice and digital interactions across multiple languages | AI-moderated voice and text interviews via shareable interviewer links |
| Standout feature | Acoustic and linguistic sentiment and emotion analysis (frustration, satisfaction, effort) | Adaptive follow-up questioning trained on qualitative research practices |
| Team usage | Real-time agent guidance and alerts during live calls plus post-call analysis | Event-triggered interviews tied to product moments (signup, cancellation, etc.) |
| Integrations | Automated redaction of sensitive numeric data for compliance and security | Theme hierarchies with tagged, quote-linked excerpts from transcripts |
| Languages & capture | Automated scoring and quality management for compliance, performance, and sales | AI chat for custom exploration and pattern detection across data |
| Best-fit workflow | Omnichannel coverage: voice, chat, email, surveys, social, and screen recordings | Support for 30+ languages with AI translation and moderation |
CallMiner
Choose CallMiner if you need contact centers monitoring agent performance and automating quality scoring and coaching — strengths include analyzes 100% of interactions rather than a sampled subset, reducing blind spots.
UserCall
Choose UserCall if you need continuous product discovery and voice-of-customer programs — strengths include captures deeper qualitative context than static surveys without live scheduling.
CallMiner
UserCall
It depends on your workflow. CallMiner is strong for contact centers monitoring agent performance and automating quality scoring and coaching, while UserCall is strong for continuous product discovery and voice-of-customer programs. Both transcribe and summarize meetings.
CallMiner is custom pricing and UserCall is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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