Specky vs Dovetail
Dovetail is excellent at storing and organising qualitative research. But it stops at the insight — it doesn't write the PRD, generate the tickets, or track whether the shipped feature moved the metric. Here's the full picture.
- AI researcher (Alex) runs interviews autonomously
- Product Graph links signals to decisions to outcomes
- PRD writer with evidence citations
- Full PM loop in one platform
- 14-day trial
- Best-in-class interview and research repository
- Strong tagging and theme extraction
- Good integrations for uploading recordings
- Widely used in UX-heavy organisations
- Stops at the insight layer — no action generation
Feature-by-feature breakdown
When to choose each
Choose Dovetail if…
- Your team is research-heavy and needs a dedicated repository
- You already have a separate PRD tool and just need insight storage
- Your users are primarily UX researchers, not PMs
Choose Specky if…
- You want research that automatically feeds PRD generation
- You need the full loop — not a separate research tool
- You want autonomous interview campaigns running without manual setup
Dovetail stores your research. Specky runs it, then acts on it.
Dovetail is a well-built repository for research you've already conducted — upload transcripts, tag insights, build a searchable library. What it doesn't do is run the research itself, or do anything with the insights once they're tagged; from there, drafting a spec and generating tickets is still entirely manual, outside Dovetail.
Specky's Alex agent runs the JTBD interviews autonomously via a shareable link — no scheduling, no manual transcription — and the results land directly in the Product Graph alongside your other signals (Slack, Gong, Jira). From there Specky drafts the PRD with the insight cited inline and generates the tickets. Dovetail's job ends where Specky's continues.
If your team already has a research practice and just needs a better repository, Dovetail is purpose-built for that. If the gap is actually running research consistently and turning it into shipped decisions, that's the loop Specky closes.
Try the difference now
See what “grounded in evidence” means
Paste one real customer complaint. Watch Specky turn it into a prioritized insight with the exact quote that proves it — no signup. This is the part Dovetaildoesn't do.
Specky vs Dovetail — common questions
Does Specky replace Dovetail?+
For teams whose main need is running research and acting on it, yes — Specky's Alex agent conducts the interviews and the results flow directly into drafted specs. If you need a dedicated, deep research repository for a larger research team, Dovetail's tagging and library features are more mature.
Can I import my Dovetail insights into Specky?+
Specky is built to ingest signal directly (Slack, Gong, interviews via Alex) into the Product Graph rather than importing from a separate repository, so the cleanest path is running new research through Specky going forward rather than migrating a historical Dovetail archive.
Does Specky run interviews the way Dovetail does?+
Differently — Dovetail stores and organizes interviews you or your team conducted manually. Specky's Alex agent conducts the JTBD interviews autonomously via a shareable campaign link, so no human has to schedule or run the session.
Is Specky cheaper than Dovetail?+
Dovetail's Business plan runs $50/user/mo; Specky's Solo tier is €99/mo flat regardless of headcount within the tier. For a 1-2 person team the flat pricing usually comes out ahead, and Specky includes the PRD/ticket/outcome loop Dovetail doesn't attempt.
See the difference in 5 minutes
Start a 14-day trial. Connect Slack and Jira and Specky starts building your Product Graph immediately.