Research operations & repository · PUBLIC RESEARCH BRIEF
Great QuestionHow much self-serve research can an organization govern well?
Great Question describes one platform spanning recruitment, scheduling, interviews, analysis and sharing for researchers, designers and product managers. Centralizing the workflow can widen access to customer research, but self-service also creates questions about study review, participant contact, repository permissions and whether teams duplicate work.
Updated 2026-10-21 · Simulation results not yet generatedCHANGE ONE THING. LEARN WHAT MATTERS.
Three questions for the GTM team.
How should a shared repository distinguish a durable finding from a raw clip, preliminary theme, duplicate project or time-bound observation?
Set up this study →When several teams want feedback from the same customer segment, should recruitment be merged, sequenced or blocked to protect participants from repeated outreach?
Set up this study →PROPOSED AUDIENCE
Who should weigh in?
North American research leaders, research operations, UX researchers, product designers, product managers, customer-insights teams, privacy reviewers and repository administrators evaluating Great Question. Include expert researchers and occasional self-serve study owners. Proposed audience only; no participant CRM, transcript or repository item is included.
TWO TIME HORIZONS
Trial today. A habit tomorrow?
Near term · 0–90 days
Over 0–90 days, route fictional study requests through several governance models. Compare appropriate approval, time to a usable plan, duplicate detection, participant-contact conflicts and the clarity of repository records.
Longer term · 3–12 months
Over 3–12 months, follow the approved model across new teams and changing priorities. Study repository decay, permission drift, participant fatigue, repeated questions and whether self-serve researchers recognize when specialist support is needed.
What would make the result actionable?
Use synthetic study briefs, participant-contact histories, permission matrices, duplicate topics, repository artifacts and known policy exceptions. Any efficiency or decision-quality claim requires observed organizational outcomes and full implementation and review costs.
A Gather simulation returns hypothetical customer reactions. Quantifying revenue, traffic or retention needs actual business inputs and validation against observed behavior.