Dovetail moved on
from researchers.
We didn't.
Dovetail's pivot toward sales and revenue intelligence has left a lot of research teams asking where to go next. Great Question is the Dovetail alternative built for the person actually doing the research: repository, AI synthesis, panel, scheduling, and a write-capable MCP, all in one place.
Every Dovetail pivot has moved them further from the researcher's daily workflow.
“Dovetail's AI is no good for us right now.”
Six unprompted quotes from prospects and customers.
Dovetail's own CEO told us tags “confuse the AI,” so they stopped using tags in queries. We were shocked.
We've been experimenting with AI. Dovetail, still no good for us right now. It's not thoughtful. They're missing the so-whats.
Great Question's MCP is a game-changer. If you're catching up so quickly on the repo side, it strengthens the case for GQ.
When we take transcripts out of Dovetail and run them through AI to check, we find that Dovetail AI just makes up a whole load of lies.
Great Question is an all-in-one/Dovetail-plus-a-repo, meaning it does what Dovetail does and way more.
We use Dovetail. I'm curious to compare its AI to yours, Dovetail keeps making things up.
The research platform stays focused on research.
Dovetail's surface area now spans sales, CS, marketing, GTM and revenue ops. Great Question's whole product roadmap is still pointed at one user: the person actually doing the research.
- ✓ The full research lifecycle in one platform: recruit, conduct, analyze, share.
- ✓ Native session capture. Every transcript and highlight is first-party data the AI was built to work with.
- ✓ AI synthesis tuned for the so-what your stakeholders actually ask about.
- ✓ Every R&D dollar goes back to the researcher's day.
Faded = research features. New = all features focused on GTM teams.
AI that thinks like a researcher.
Three places where the difference shows up in your actual work.
Native session capture, from day one.
We run your studies, which means AI synthesis works on first-party session data with speaker IDs and time-stamped highlights, every quote linked back to the moment it happened in the recording.
An MCP that writes.
Great Question's MCP exposes 94 tool calls across the full research lifecycle: create studies, add candidates, send invitations, retrieve transcripts, build reels. Dovetail's MCP is mostly retrieval, with limited write capability.
AI moderation, in product.
Run real unmoderated interviews with an AI moderator that asks the follow-up question. We're targeting a launch of this soon. Dovetail has no equivalent.
The Dovetail alternative, feature by feature.
Repository plus AI alone isn't table stakes for a research platform anymore. Here's what the modern research stack looks like, and where each platform shows up.
| Capability | Great Question | Dovetail |
|---|---|---|
| Research repository | ✓ | ✓ |
| AI tagging, search & synthesis | ✓ | Mostly beta |
| Native session capture for AI context | ✓ | ✗ |
| MCP read access | ✓ | ✓ |
| MCP write actions (create studies, candidates, invites) | ✓ | Limited |
| MCP read access for observers (free) | ✓ | ✗ |
| AI moderator (built-in) | ✓ | ✗ |
| Built-in panel + CRM | ✓ | ✗ |
| Screener surveys + scheduling | ✓ | ✗ |
| Global incentive payments | ✓ | ✗ |
| External recruitment (User Interviews built-in) | ✓ | ✗ |
| Prototype testing + card sort + tree test | ✓ | ✗ |
| White-glove migration concierge | ✓ | ✗ |
| Product focus | Researchers only | Sales / CS / Research |
We'll do the migration for you.
A dedicated CSM and a 4-phase process. Your interviews, transcripts, highlights, tags, participants, reels and surveys all get moved across and re-transcribed with Great Question AI.
Kickoff
Scope alignment, contract, walk-through of your Dovetail setup with a dedicated CSM.
Export & validate
File verification, optional dry-run preview. Nothing imports until you've reviewed it.
Import & re-transcribe
Interviews, transcripts, highlights, tags, reels all moved in. Recordings re-transcribed with GQ AI.
Review & sign-off
Validation against scope, full documentation. Imported users don't count against your seat limit.
“We'll be migrating Dovetail repository over to Great Question over the next couple of weeks.”
Cheaper at every tier, because everything's already included.
Dovetail's list price doesn't include your panel, your scheduler, your recruiter, or your incentive provider. Ours does.
Repo
Same entry price, but with unlimited studies, plus a panel and scheduler.
Mid-market
By the time you've added a panel tool, a scheduler, a recruiter and an incentives provider on top of Dovetail, it isn't cheap anymore. Ours are built in.
Enterprise
Talk to us. Most teams save 25–40% by consolidating their stack.
Mid-market figures illustrative. Final pricing depends on seats, studies, and panel volume.
Things every Dovetail team asks us.
Is Dovetail still a research tool?
Their product still includes a research repository. But their Fall 2025 launch repositioned the platform as a customer signal hub serving sales, customer success, marketing, and revenue ops. AI Docs ships sales recaps and go-to-market strategies. What that means for your team's roadmap is a call we'll leave up to you.
How long does the migration take?
Typically 2 to 6 weeks depending on the volume of data and the complexity of your tag taxonomy. We recommend starting at least 90 days before your Dovetail contract ends so there's time for review and sign-off.
What gets migrated?
Interviews, transcripts, highlights, tags, participants, reels, and surveys. All recordings get re-transcribed using Great Question AI, so your legacy research becomes searchable and citation-ready inside the new repository.
What if my Dovetail contract has 8 months left?
Start now anyway. We'll re-transcribe your legacy data so it's ready the day your contract ends. The $1K migration offer expires July 1, so locking it in early is the smart move.
Can I keep using Dovetail's MCP if I move to GQ?
No, but Great Question's MCP does more anyway. Dovetail's MCP is read-emphasized; ours has 94 tool calls covering the full research lifecycle, including write operations like creating studies, adding candidates, sending invitations, and building reels.
What happens to our Dovetail tags?
They come over as-is, with your taxonomy preserved. Worth noting: Dovetail's own CEO has acknowledged that tags currently confuse their AI synthesis and aren't used in repo queries. Our AI uses tags as one signal among many, and learns from your accept and reject patterns over time.
Great Question: the AI repository you can trust
