The Short Answer
Switching a user research platform is a contract problem first and a data problem second. Start 90–120 days before renewal, because roughly 78% of SaaS contracts auto-renew and notice windows have been tightening from 60 days toward 30. Export your archive before you give notice — about 40% of SaaS contracts do not guarantee free data export in open formats, and leverage disappears the moment you announce you are leaving.
The migration itself is straightforward if you accept one principle: do not port everything. Move the insights that still drive decisions, archive the rest as flat files, and run your first study on the new platform in parallel rather than after cutover.
Why Most Research Tool Migrations Stall
Three failure modes account for nearly every stalled switch:
1. The renewal fired. The team evaluated alternatives in month 11 of a 12-month contract, missed a 60-day notice window, and got locked in for another year. This is the most common and most expensive failure, and it is pure calendar management.
2. The archive became a hostage. Years of tagged interviews sit in a proprietary structure. Export produces a ZIP of transcripts with the tags stripped, and suddenly "we will lose all our research" becomes the argument for staying on a tool nobody likes.
3. Nobody owned adoption. The new platform was purchased but the old workflow persisted. Six months later the org pays for both.
Each is preventable, and none of them are about product features.
The 90-Day Switching Sequence
Days 90–75: Audit the contract before you audit the tools
Pull the agreement and find four things:
- The renewal date and the notice window. Standardised agreements most often use 30 days, though negotiated enterprise deals frequently run 60–90. Diary the notice deadline immediately, not the renewal date.
- The auto-escalator. Typically 5–10% annually. This is your strongest negotiating fact — and if you are staying, your strongest discount lever.
- The data export clause. Does it guarantee export in open formats (CSV/JSON) at no cost? If not, assume export will be slow and partially manual.
- Termination and wind-down rights. How long do you retain read access after termination? Some platforms cut access on day one.
Only 38% of organizations treat renewals as a genuine cost-reduction opportunity. The audit alone frequently pays for itself even if you decide to stay.
Days 75–60: Export everything while you are still a happy customer
Export before you signal intent. Request, in this order:
- Raw transcripts and recordings — the irreplaceable primary data.
- Tags, codes, and taxonomy — usually the hardest to port and the most valuable.
- Insight and report artifacts — the synthesised conclusions stakeholders actually cite.
- Participant records — subject to consent and retention terms. Check what you are legally permitted to transfer before you move contact data, and review your obligations under research data retention rules.
Store exports in a location you control — cloud storage, not the new vendor. That keeps the migration decision reversible.
Days 60–45: Run a real study on the new platform, in parallel
Not a demo. A live study, with real participants and a real decision attached. Demos show the happy path; a real study reveals the recruitment friction, the analysis quality, and whether stakeholders actually read the output.
This is also when the cost comparison becomes concrete rather than theoretical — see our breakdown of what research platforms actually cost for the line items to track during the pilot.
Days 45–30: Give notice, then negotiate
Give notice inside the window. Two outcomes, both good: you leave cleanly, or the incumbent returns with a retention offer that you can now evaluate against a platform you have actually used.
Days 30–0: Migrate selectively and cut over
Do not port the entire archive. Research decays. A usability finding on a screen that shipped two redesigns ago is history, not insight. Apply a simple triage:
| Archive item | Action |
|---|---|
| Insights actively cited in the last 12 months | Migrate fully, with tags |
| Studies on current, live product areas | Migrate transcripts, re-tag on arrival |
| Superseded or shipped-and-forgotten studies | Archive as flat files in cloud storage |
| Participant PII beyond consent window | Delete per your retention policy |
Re-tagging on arrival sounds like waste. It is usually the highest-value hour of the migration, because taxonomies accumulate cruft and a fresh pass surfaces what actually matters. On an AI-native platform, much of it is automatic anyway.
What to Look for in the Replacement
Switching costs are real, so switch to something structurally different rather than a lateral move to a similar tool with a nicer interface. Ask:
- Does it remove the synthesis bottleneck, or just store transcripts? A repository organises work you still have to do manually. Automatic thematic analysis removes the work.
- Is AI moderation included or an upsell? In 2026, legacy platforms increasingly gate AI moderation as a premium add-on — one prices it near $15,000/year on top of the base contract.
- Does pricing scale with headcount or with research volume? Per-seat pricing quietly penalises sharing insights widely.
- What are the exit terms? Ask on the way in. A vendor confident in its product will guarantee open-format export.
- Can a non-researcher run a study? If the tool requires a specialist, adoption stalls the moment that specialist is busy.
Why Teams Switch to Koji
Koji is an AI-native customer research platform, which makes it a genuine structural change rather than a lateral move:
- AI-moderated voice and text interviews run in parallel, around the clock — 20 interviews complete in the time one calendar-scheduled session takes.
- Automatic thematic analysis means the archive arrives pre-synthesised. There is no tagging backlog to migrate because there is no tagging backlog.
- Six structured question types — open_ended, scale, single_choice, multiple_choice, ranking, yes_no — so a single study yields both quotes and quantifiable data, replacing a separate survey tool.
- Customizable AI consultants ask your follow-ups consistently, with no moderator bias and no drift between session one and session twenty.
- One-click reports that stakeholders read without a researcher presenting them.
- Published pricing — €29/month for Insights, €79/month for Interviews, credits included, no seat minimum, no auto-escalator, and no annual lock-in. Only conversations scoring 3 or above consume credits, so failed sessions do not bill you.
Teams consistently report the same outcome after switching: from question to insight in hours, not weeks, with no research expertise required to run a study.
Start free at koji.so and run your parallel pilot before your notice window closes. If you are still mapping the landscape, compare the leading AI research platforms first.
Frequently Asked Questions
When should I start planning a research platform switch? 90–120 days before renewal. Roughly 78% of SaaS contracts auto-renew, and notice windows have been shrinking toward 30 days, so the practical deadline is the notice date, not the renewal date.
How do I export my research data from an existing platform? Request raw transcripts and recordings, the tag and code taxonomy, insight artifacts, and participant records — in that priority order, in open formats such as CSV or JSON. Do it before giving notice, while you are still a customer in good standing.
Will I lose my research archive if I switch platforms? Not if you export first. About 40% of SaaS contracts do not guarantee free export in open formats, so check the clause early. Most teams find they only need to fully migrate insights cited in the last 12 months and can archive the rest as flat files.
Should I migrate my entire research repository? No. Research decays — findings about shipped or redesigned features are history. Migrate actively cited insights and current-product studies, archive the rest, and delete participant PII that falls outside your consent and retention window.
Can I negotiate with my current vendor instead of switching? Yes, and running a real pilot elsewhere is what gives that negotiation teeth. Auto-escalators of 5-10% are standard, so a credible alternative is often worth more than any discount you could request cold.
What is the biggest mistake when changing research tools? Missing the notice window. It is a calendar failure rather than a product decision, and it costs a full contract year.
