Most teams migrating from Great Question in 2026 are not leaving a platform that failed them. Great Question is a capable all-in-one UX research suite, and the teams that move usually move for one reason: the research questions that matter most to them are motivational questions, and an all-in-one ops platform with AI-moderated interviewing in beta is not the sharpest instrument for that job. This guide is the operational plan — what to export, how to map studies, how to brief stakeholders, the two-week timeline, the risks, and an honest account of when staying with Great Question is the right call.
Why Teams Migrate from Great Question
Four trigger patterns account for most Great Question migrations.
The deliverable is depth, not breadth. Great Question’s strength is method coverage — surveys, card sorts, tree tests, prototype tests, and interviews under one roof. But a team whose core deliverable is the motivation behind a customer decision needs depth in one method, not competence across many. AI-moderated interviewing is a beta feature on Great Question, one capability among many, so engineering attention is spread thin. Teams that have identified motivational understanding as a strategic priority outgrow the breadth-first model.
Per-seat economics stop fitting research cadence. Great Question’s Self-Serve subscription is $129 per seat per month and scales with team headcount. A team running occasional but high-value research pays a full seat to run a handful of studies — poor unit economics. A per-study model that scales with how often research actually runs fits a variable cadence far better.
Adaptive moderation matters more than a beta-status feature. Teams that want the AI moderator to probe systematically — to ladder from a stated behavior down to emotional drivers and identity markers — find a beta interview feature insufficient. They want adaptive moderation as the architecture, not a roadmap item.
The multi-method suite is more than the team needs. Some teams simply do not run card sorts, tree tests, or focus groups. Paying for a consolidated suite to use one method is the inverse of Great Question’s value proposition.
What Should You Extract from Great Question Before You Switch?
The most important migration rule: export everything while the account is still active. Once a contract lapses, the accumulated research is hard to recover. Three asset classes need extraction.
Repository data. The centralized research repository is the accumulated value of every month of subscription — synthesized insights, themes, tags, AI summaries, and highlight clips from every past study. Export the full repository, not just recent studies. This is the institutional memory a team has paid to build, and it should land somewhere durable before the migration completes.
Study results. Pull the raw outputs from active and recent studies: interview transcripts and recordings, survey responses, prototype-test data, and card sort or tree test results. Active studies need their data preserved so nothing in flight is lost; recent studies feed the parallel-pilot comparison later.
Participant lists. Export contact records, consent documentation, and research history — especially own-customer records synced from a CRM. Consent records matter for compliance continuity, and a clean participant list shortens recruitment setup on the new platform.
Confirm the export formats Great Question supports and run the exports during the cutover, while the account is live. Treat the repository export as the highest-priority item.
Mapping Great Question Studies to User Intuition
Migration is not a one-to-one feature swap — it is a mapping by research intent.
Multi-method to depth-specialist. Great Question’s interview studies map directly onto User Intuition’s adaptive AI-moderated interviews, and usually gain depth in the process: a structured discussion guide becomes adaptive 5-7 level laddering that probes every answer. Survey, card sort, and tree test studies have no one-to-one equivalent — a depth-specialist platform is built for the why-questions. Those quantitative and information-architecture methods either stay on Great Question or move to a dedicated tool. The honest mapping is that interviews migrate and deepen; non-interview methods do not migrate at all.
Repository search to ontology query. Great Question’s repository retrieval is keyword and tag search across stored documents. User Intuition’s Customer Intelligence Hub indexes every interview against a structured ontology at capture time, so a plain-language question — “what made enterprise buyers hesitate this year?” — returns a synthesized cross-study answer rather than a list of clips to read. The migration changes how a team retrieves what it knows.
Per-seat subscription to per-interview cost. The commercial model inverts. Instead of $129 per seat per month scaling with headcount, cost becomes $20 per audio interview and $200 per 10-interview study, scaling with research frequency.
Communicating the Switch to Stakeholders
A migration succeeds or stalls on stakeholder buy-in. Three audiences need three different stories.
For the research-ops lead. This person owns the consolidated suite and the repository, and will ask what happens to multi-method coverage. Be straight: User Intuition is a depth-specialist interview platform, not an all-in-one suite. If the team genuinely uses surveys, card sorts, and tree tests, those either stay on Great Question or move to a dedicated tool. Frame the migration as upgrading the interview practice specifically — adding adaptive depth to the highest-value research the team runs — not as a like-for-like replacement of the whole ops layer.
For individual researchers. They will ask whether adaptive laddering actually beats a discussion guide and how their day-to-day setup changes. Show them, do not tell them — a parallel pilot transcript is more persuasive than any feature claim. Emphasize that study setup is faster (roughly five minutes) and that recruitment is instant against the 4M+ panel.
For the executive sponsor. They will ask about cost, compliance, and risk. Lead with the cost shape — variable per-study spend instead of a fixed subscription — and be honest about the security gap: Great Question holds SOC 2 Type II and HIPAA certification today, and if those are hard procurement gates, that belongs in the decision.
How Does the Migration Math Work?
The migration math is straightforward once both models are on the table. Great Question Self-Serve is $129 per seat per month — a five-seat plan runs $7,740 per year before pay-per-participant external-panel recruitment is added. User Intuition is $200 for a 10-interview study at $20 per audio interview, with panel recruitment included and no seat licenses or annual contract. For a team running one to twenty studies a year, the per-study model is dramatically cheaper, because there is no fixed subscription floor to clear before the first study earns its keep. The migration costs roughly two weeks of researcher time, and that investment typically pays back inside the first study cycle of what would have been the next Great Question contract year. The pricing converts from a fixed annual commitment that scales with headcount into a variable line item that scales with how often the team actually runs research.
Migration Timeline (Two Weeks)
Week 1 — Extract and rebuild.
- Days 1-3: Export repository data, study results, and participant lists from Great Question while the account is active. Treat the repository export as the priority item.
- Days 3-5: Recreate active interview studies in User Intuition’s guided setup. Connect the CRM for own-customer recruitment, or configure the 4M+ vetted panel. Launch a first study to validate the workflow end to end.
- Day 5: Brief the research-ops lead and individual researchers.
Week 2 — Validate and communicate.
- Days 6-7: Brief the executive sponsor with the cost and compliance picture.
- Days 6-10: Run the parallel pilot — the same research question on both platforms — and compare transcripts and synthesized themes directly.
- Days 8-10: Decide on cutover based on pilot output, and schedule the Great Question contract wind-down accordingly.
The parallel pilot can extend two to four weeks beyond Week 2; it runs concurrently and does not lengthen the cutover.
Risks and Mitigation
Risk: non-interview research has no home. If the team relies on surveys, card sorts, or tree tests, those methods do not migrate to a depth-specialist platform. Mitigation: decide before cutover whether each non-interview method stays on Great Question, moves to a dedicated tool, or is genuinely not needed. Do not discover the gap after the contract lapses.
Risk: the security gap blocks procurement. Great Question holds SOC 2 Type II and HIPAA today. Mitigation: if those are hard gates, confirm User Intuition’s current attestation status with sales before committing, and let procurement set the threshold.
Risk: repository data is stranded. Institutional research memory lives in the Great Question repository. Mitigation: export the full repository while the account is active, and verify the export is complete and readable before winding down the contract.
Risk: stakeholders perceive a downgrade. A research-ops lead may read “fewer methods” as a loss. Mitigation: frame the migration as upgrading the interview practice, run the parallel pilot, and let the depth of the pilot transcripts make the case.
When to Stay with Great Question
Migration is the wrong move for some teams, and it is worth being clear about that.
Stay with Great Question when the all-in-one UXR ops infrastructure is genuinely the right shape for the team — when a standing research-ops function runs surveys, card sorts, tree tests, prototype tests, and interviews continuously, and the centralized repository across all of those methods is core to how the team operates. A depth-specialist interview platform does not replace that suite; it replaces one method within it.
Stay, too, when enterprise compliance is a hard gate. Great Question carries SOC 2 Type II, HIPAA, and GDPR compliance today, with SAML/SSO, audit logs, and data governance on the Enterprise tier. For regulated-industry research, healthcare studies, or enterprise vendor reviews where a completed SOC 2 Type II report is mandatory this quarter, that is a decisive advantage in Great Question’s favor. The honest position: if the all-in-one ops layer and the compliance posture are both hard requirements, Great Question is the right platform and the migration should wait.
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