CallMiner: CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance. Great Question: All-in-one UX research platform combining recruitment, scheduling, and AI analysis of interviews into a connected research repository. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CallMiner when contact centers monitoring agent performance and automating quality scoring and coaching matters most, and Great Question when auto-summarizing and tagging interview sessions with ai matters most. Try them side by side on real calls before deciding — needs vary by team.
CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance.
All-in-one UX research platform combining recruitment, scheduling, and AI analysis of interviews into a connected research repository.
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
Great Question is a UX research platform that consolidates participant recruitment, study setup, and AI analysis into a single workflow for product managers, designers, UX researchers, and research operations teams. On the recruitment side it offers access to a large participant panel, the ability to build customer panels from CRM systems, automated screening, eligibility rules, incentive payments, and a research calendar for scheduling one-on-one, collective, or round-robin interviews. For conducting research it supports moderated user interviews, AI-moderated interviews, unmoderated prototype testing with Figma, surveys, card sorting, tree testing, and focus groups, with observer rooms for live team participation. After sessions, Great Question's AI analysis generates summaries, chapters, highlights, and tags, and builds a searchable research repository where transcripts, themes, highlight reels, and insights are connected so teams can query their entire body of research. It offers a wide range of integrations and an MCP that lets users run and analyze research from AI tools, and meets enterprise requirements with SOC 2 Type II, GDPR, and HIPAA compliance. The platform aims to take research from recruitment through synthesis without stitching together multiple tools. Pricing varies by plan. Check the official website for current pricing.
Best suited for
CallMiner is custom pricing (contact sales); Great Question is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | CallMiner | Great Question |
|---|---|---|
| Core capability | Automatic transcription of voice and digital interactions across multiple languages | AI analysis generating summaries, chapters, highlights, and tags from interviews |
| Standout feature | Acoustic and linguistic sentiment and emotion analysis (frustration, satisfaction, effort) | Searchable research repository connecting transcripts, themes, and insights |
| Team usage | Real-time agent guidance and alerts during live calls plus post-call analysis | Participant recruitment from a large panel plus CRM-based custom panels |
| Integrations | Automated redaction of sensitive numeric data for compliance and security | Scheduling, screening, eligibility rules, and incentive payments |
| Languages & capture | Automated scoring and quality management for compliance, performance, and sales | Moderated, AI-moderated, and unmoderated study methods including prototype testing |
| Best-fit workflow | Omnichannel coverage: voice, chat, email, surveys, social, and screen recordings | 50+ integrations plus an MCP for running research from AI tools |
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.
Great Question
Choose Great Question if you need recruiting participants and scheduling user interviews end to end — strengths include handles recruitment, study execution, and analysis in one platform.
CallMiner
Great Question
It depends on your workflow. CallMiner is strong for contact centers monitoring agent performance and automating quality scoring and coaching, while Great Question is strong for recruiting participants and scheduling user interviews end to end. Both transcribe and summarize meetings.
CallMiner is custom pricing and Great Question 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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