A centralized system for storing, organizing, and retrieving research artifacts — including raw notes, recordings, interview transcripts, survey data, insights, and reports. A well-maintained research repository prevents teams from repeatedly commissioning the same research and allows insights from past studies to inform current design decisions.
Common contexts
- Tagging research insights by theme in a shared tool so product managers can search findings before writing PRDs
- Linking historical interview transcripts to a current design decision to show it's grounded in existing evidence
- Onboarding a new designer by pointing them to the repository so they understand user context without commissioning new research
Use when
Build a research repository when a team runs more than a handful of studies per year, or when stakeholders regularly make decisions that could have been informed by research that was conducted but not surfaced — the repository's value compounds over time.
Avoid when
Don't invest in a formal repository structure for a team running its first few studies — organising an empty system creates overhead before there's enough content to justify it, and the taxonomy you choose will likely change once real research accumulates.
Most research repositories fail not because of the tool chosen but because insights are stored at the wrong level — full reports that nobody re-reads rather than atomic, searchable observations that can be recombined into future decision support.
Real-world examples
- Spotify's research operations team built a centralised Confluence-based repository of 500+ past studies, tagged by product area and user segment — reducing duplicated research by an estimated 30% in the first year.
- Dovetail is purpose-built as a research repository; teams at Canva use it to store tagged participant quotes and video clips, making insights searchable by product managers who weren't present at sessions.
- The NHS Digital design team maintains a research repository that surfaces recurring pain points across their 100+ services, allowing new service teams to benefit from prior research on shared user populations.