Dovetail.
Dovetail is a research repository for storing, tagging and analysing qualitative data — interview transcripts, session notes, feedback — so findings are searchable across studies rather than trapped in individual reports.
Where Dovetail fits on a long engagement.
Research repositories address a real waste. Studies are run, reports are written, and six months later nobody can find what was learned, so the same question is researched again. Tagged, searchable evidence makes past work reusable.
Tagging discipline is what makes or breaks it. Inconsistent tags produce a repository that technically contains the answer and cannot surface it, which is functionally the same as not having one.
What an assigned team does with Dovetail.
The compounding value only appears over time. A repository with three studies is barely useful; one with three years of research is an organisational asset that answers questions without new fieldwork.
That accumulation requires continuity of the people maintaining it, which is why research capacity is agreed as a committed monthly capacity rather than booked per study.
What we use Dovetail for.
- Findings that outlive the report Evidence searchable across studies rather than trapped in documents.
- Questions answered without new fieldwork Past research surfacing what has already been established.
- Tagging held consistently A taxonomy maintained, without which the repository cannot surface anything.
How Dovetail capacity is assigned.
Research operations are assigned inside design capacity, with repository value treated as something that accumulates rather than ships.
Tell us what your roadmap needs Dovetail for.
A service delivery manager replies with the disciplines we would assign, the monthly capacity and what the first month looks like.
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