A code-first alternative
to Qualtrics.
Qualtrics is the drag-and-drop standard. Fieldbase gives you the same depth (CBC, MaxDiff, quotas, SPSS export) with an in-platform code editor instead of a drag-and-drop canvas — plus AI that drafts the survey from a Word or PDF spec.
What Qualtrics does well
A broad drag-and-drop surface that covers nearly every survey pattern without typing. Massive feature set (XM, CX, EX suites). Enterprise sales, procurement, and compliance machine. If your team is non-technical or your company has already standardised on Qualtrics XM, that's a real moat.
Where Fieldbase differs
- Code-first authoring in the browser. Surveys
are YAML in
- qidblocks with Python-like- scriptblocks for logic. You edit, save, and ship them from the Fieldbase editor — no file plumbing, no separate IDE. Readable, greppable, AI-assistable. See scripting → - AI drafts the code from a spec. Upload a questionnaire document (Word, PDF); the AI writes the survey, you review and accept. Days of programming compress into hours.
- AI chat for live edits. Ask for changes in plain English — "make Q7 required if S2 is Male" — the AI proposes the edit, you accept. Works in any language your team speaks.
- Export surface built for the analyst. SPSS (.sav and .dat+.sps pair), CSV with camelCase + BOM, Excel with proper type hints, fixed-width ASCII. Companion long CSVs for CBC/MaxDiff ship in the same pack. See export →
- Pre-field Design Test for CBC/MaxDiff. Design Health and Precision scorecards with D-efficiency and implied-N — know the design will produce usable utilities before you field. See choice modeling →
- Quotas that hold under concurrency. Real database locks on every completion — not a client-side counter. The Survey Simulator fires parallel completes against the actual production path to verify. See simulator →
- Transparent, scoped pricing. In early access, free for founding teams. No per-response fees, no enterprise multi-year contracts. See pricing →
Side-by-side
| Fieldbase | Qualtrics | |
|---|---|---|
| Authoring | ||
| Authoring surface | In-platform code editor (YAML) + Python-like - script blocks | Drag-and-drop canvas with menu-driven logic |
| AI drafts the survey from a spec document | Yes — upload a Word or PDF spec, AI writes the survey | No — some AI-assisted question suggestions, not spec-to-survey |
| AI chat for live edits (any language) | Yes — "make Q7 required if S2 is Male" in any language | Limited — rule-based builders, not conversational edits |
| Learning curve for a programmer | Hours — the DSL is YAML + Python-like syntax | Days — different model (menus, flow blocks, embedded JS) |
| Learning curve for a non-programmer | Steeper — code-first; AI chat helps | Shallow — drag-and-drop is the strength here |
| Advanced research methods | ||
| CBC (choice, rating, ranking) | First-class, three response modes supported | Available in Conjoint add-on |
| MaxDiff + TURF analysis | First-class; TURF built in | Available in Conjoint add-on |
| Pre-field Design Test (D-efficiency, implied-N) | Yes — Design Health + Precision scorecards in the editor | No equivalent integrated workflow |
| In-app CBC utilities + share simulator | Aggregate MNL part-worths + live share-of-preference | Export-only (Sawtooth / R / other) |
| Card sort (open/closed/hybrid) | Yes — first-class question type | Add-on / third-party integration |
| Qualitative annotation (image heatmap, text intensity, video dial) | First-class with in-app viewer | Limited; image heatmap only |
| Fieldwork | ||
| Quota precision under concurrent load | Row-level locks per completion — exact | Soft-count buffering — occasional over-quota reported |
| Real-respondent survey simulator | Fires parallel completes through the production path | Preview / test-respondent flows (not concurrency testing) |
| Live-fielding quota edits | Edit in place without a republish | Supported with limitations |
| Per-language fielding (launch one language at a time) | Yes — Test/Live/Paused/Closed per language | Supported via translation + distribution workflow |
| Data & export | ||
| SPSS export | .sav binary + .dat/.sps syntax pair, PSPP-verified | .sav |
| Fixed-width ASCII export | Yes — datamap-driven | No |
| CBC / MaxDiff long-form companion CSVs | Yes — cbc_long, maxdiff_long, design file, Design Health report in one pack | Long form via custom export or external processing |
| Partial exports (date / row count / variable filter) | Stackable filters at export time — no new variable needed | Date filter + response-level filter via workflow |
| Datamap Designer (grid + text editor, templates) | Yes — grid or text view, template per tracker | Variable manager, no equivalent template layer |
| Mid-field data import (update columns on existing respondents) | Yes — by respondentId, column-scoped | Supported with limitations |
Test / Live environment on same route (?env=) | Byte-identical export for shared columns | Separate test respondent workflow |
| Pricing & vendor | ||
| Pricing model | Free in early access; transparent going forward | Enterprise contracts — per-seat + per-response + modules |
| Starting cost (typical mid-size team) | $0 (early access) | Five to six figures / year |
| Procurement + legal | Lightweight — direct contact | Full enterprise procurement cycle |
| Best fit | Teams with a programmer, or ones who'd rather have one | Teams on drag-and-drop with enterprise XM/CX needs |
When Qualtrics is still the right call
- Your organisation has standardised on Qualtrics XM across multiple departments.
- Your team has no technical users and doesn't want any.
- You need the broader XM / CX / EX suite, not just the research tool.
- You need enterprise procurement coverage (SOC 2 Type II, HIPAA BAA, FedRAMP) today.
FAQ
Is Fieldbase actually a Qualtrics alternative?
Yes — for the research use cases (CBC, MaxDiff, grids, quotas, SPSS export). We don't try to replace the XM/CX/EX suites.
Can my research team migrate from Qualtrics?
Email [email protected] — we'll walk you through what a migration looks like for your tracker (we can usually import a wave's data to validate column parity before you cut over).
Does Fieldbase handle CBC conjoint like Qualtrics does?
Yes — upload a Sawtooth-format design or a CSV of concept
matrices, reference it with
design: project://your_design_v2, and run aggregate
MNL in-app. See choice
modeling for the Design Test workflow.