New

Now in Claude, ChatGPT, Cursor & more with our MCP server

Back to blog
Comparisons

Great Question vs Dovetail (2026): Research Ops vs Customer Intelligence — and the AI-Moderated Layer Both Miss

Great Question vs Dovetail compared for 2026 — pricing, recruiting, AI repository, and channel ingestion. Which research platform wins, and why neither actually moderates interviews.

K

Koji Team

Research Platform · July 8, 2026 · 10 min read

TL;DR: These two platforms solve different halves of the research problem. Great Question is an all-in-one research ops suite — recruit, schedule, incentivize, run studies, and store results in one place (Self-Serve from $129/seat/month). Dovetail is an AI-native customer intelligence platform — a repository that continuously ingests support tickets, sales calls, NPS, and reviews and analyzes them with AI, no manual tagging (Free tier, then custom Enterprise). Choose Great Question if your bottleneck is running studies; choose Dovetail if it's centralizing and mining the feedback you already have. But here's what neither does: autonomously moderate an adaptive interview with each participant at scale. Great Question recruits and schedules; Dovetail analyzes. Neither conducts the conversation. Koji does — and it starts free, then €29/month.

Great Question vs Dovetail at a glance

Great QuestionDovetail
CategoryResearch ops (recruit → run → store)AI-native customer intelligence / repository
Entry priceSelf-Serve $129/seat/mo ($1,290/yr)Free ($0), then custom Enterprise
RecruitingNative CRM + panel, screeners, scheduling, incentivesRetired — does not recruit
Runs studiesInterviews, surveys, prototype, card sort, tree testNo — assumes data collected elsewhere
Channel ingestionNative research captureTickets, calls, NPS, reviews via "channels"
AI analysisAuto-tagging, synthesis, highlight reels"Ask AI" with citations, semantic search, dashboards
Moderates interviews?No (recruits/schedules only)No (analysis only)
Best forTeams running studies end-to-endCentralizing insight across the org

What each platform actually is

Great Question (backed by a $13M Series A) bundles the operational side of research: a research CRM and panel to recruit from your own customers or an external 6M+ panel, screener surveys, scheduling, automated global incentives (via Tremendous across 80+ countries), and study types spanning interviews, surveys, unmoderated prototype tests, card sorting, tree testing, and focus groups. Everything lands in a searchable AI repository with auto-tagging and highlight reels. Its Self-Serve plan is $129/seat/month (or $1,290/year, up to 5 seats); Enterprise adds SSO/SCIM, data governance, advanced integrations (Salesforce, Snowflake, Qualtrics), a dedicated CSM, and MCP access.

Dovetail has evolved from a pure repository into an "AI-native customer intelligence platform." Its thesis: customers don't only talk when you schedule them — they talk in support tickets, sales calls, NPS verbatims, and app reviews every day. Dovetail's channels ingest those signals continuously and analyze them with AI, so patterns surface without manual tagging. "Ask AI" answers questions across your data with citations back to the source, and semantic search spans everything. Its public pricing now shows only a Free tier (1 channel, 1 project) and custom Enterprise — and notably, Dovetail retired its Recruit beta, so it neither recruits participants nor moderates interviews.

Great Question vs Dovetail: the core difference

  • Scope. Great Question owns the full lifecycle — recruit, run, analyze, store. Dovetail owns analysis and centralization and assumes collection happens elsewhere.
  • Recruiting. Great Question has native CRM, panel, screeners, scheduling, and incentives. Dovetail has none of this anymore.
  • Data source. Great Question captures research you deliberately run. Dovetail's superpower is mining the mountain of existing multi-channel feedback (tickets, calls, reviews) at scale.
  • Pricing transparency. Great Question publishes seat prices; Dovetail lists only Free vs custom Enterprise.
  • Where each wins. Great Question for a team that wants one tool to run studies. Dovetail for an org that wants to consolidate and query customer signal everywhere.

This maps to a real market split. In 2025, 80% of researchers reported using AI in their work — up 24 points year over year (User Interviews, State of User Research 2025), and organizations where research is essential to all business strategy nearly tripled from 8% in 2025 to 22% in 2026 (Maze, Future of User Research 2026). Both tools ride that wave from opposite ends.

The layer both platforms miss

Here's the gap. Great Question can recruit and schedule a participant. Dovetail can analyze a transcript after the fact. But neither one autonomously conducts a probing, adaptive interview with each participant — the actual conversation where insight is born. Great Question still leans on human moderators (or unmoderated tests) for live qualitative depth; Dovetail requires a separate tool to collect the data in the first place. Closing the loop — recruit → autonomously run a dynamic voice interview with every participant → synthesize into a themed report — needs an AI-moderator layer neither offers.

That matters because researchers' biggest anxiety about AI is trust: 91% worry about AI accuracy and hallucinations (User Interviews 2025). The answer isn't AI that guesses from thin data — it's AI that generates rich, first-party interview data by talking to real customers, then themes it with quotes you can verify.

Where Koji fits

Koji is the AI-native platform that covers the whole stack in one workflow:

  • AI-moderated voice and text interviews that ask your questions and probe answers with adaptive follow-ups — see AI-moderated interviews. No human moderator, no scheduling tetris, no moderator bias.
  • Six structured question typesopen_ended, scale, single_choice, multiple_choice, ranking, and yes_no — so each study returns both the "why" and countable data.
  • Recruit from your own product (docs) and run interviews on each participant's own schedule, at scale.
  • Automatic thematic analysis and a one-click research report with quotes and sentiment — your repository fills itself as you go.

Pricing is transparent and self-serve: free to start (10 credits), then €29/month (Insights) or €79/month (Interviews), with a quality gate so only conversations scoring 3+ consume credits.

Which should you choose?

  • Great Question — you need one tool to operationalize research: recruit from your users, screen, schedule, incentivize, and store. Best for research and design teams with real study volume.
  • Dovetail — you're drowning in existing feedback (tickets, calls, reviews) and want to centralize and query it with AI. Best for larger orgs consolidating insight.
  • Koji — you want to actually conduct customer research at scale without hiring moderators or waiting on synthesis. Best for product, growth, and founder teams doing continuous discovery, churn, win/loss, and pricing research on their own customers.

The bottom line

Great Question and Dovetail are excellent at recruiting/running and analyzing/centralizing, respectively — but both leave the interview itself to humans or to other tools. If you want research that runs and analyzes itself, from question to insight in hours, start free with Koji.

Try Koji

Run your first AI-moderated study in 10 minutes

10 free credits on signup. No credit card required.

Live in 10 minutesGDPR compliantEU data residency

Share this article

K

Written by

Koji Team

Research Platform

Keep reading