Code 5,000 verbatims in under an hour, not 2 days.
Claude pipeline that proposes a research-grade codebook and exports straight to SPSS, with your team reviewing only what's uncertain. Your consistency, your frameworks, your deadline.
Simulated example using preset responses and timers. Counts, speed, ETA and confidence values are illustrative, not live results or a performance benchmark.
And now the tab book too
Now we deliver cross-tabulation too: your banner —the cross-breaks your client asks for— applied to every question, with bases, nets and 95% significance, in an Excel that reads without you in the room.
Ask Claude about your projects
Connect Survey Coder to Claude and check progress, results and new files by conversation. Claude proposes the coding plan and applies it only when you confirm.
Manual coding has a cost you already know.
Every large open-end project forces a choice between deadline, budget or rigor. Usually you sacrifice one.
AI does the first pass. Your team decides at the five moments that matter.
- 01 · Your teamBefore a credit is spentYou confirm the column plan — what gets coded and how — before a credit is charged. In express mode, if you upload a .sav and every column is high-confidence, the plan goes through on its own.
- 02 · Your teamBefore codingYou review and edit the codebook: merge, rename and set the threshold for opening new codes. Your client can approve it through a link, commenting code by code.
- 03 · Your teamAfter codingAI flags what's uncertain by confidence and your team corrects it. Proposed codebook changes land in a shared inbox, where they can be assigned to a person, approved or dismissed.
- 04 · Your teamEvery waveYou confirm each wave before credits are spent, with the same codebook and code numbers; new codes arrive as proposals for your approval. In express mode, the wave codes without asking.
- 05 · Your teamAlwaysEvery correction is logged — who, before and after — and used when coding later waves of the same study.
It doesn't replace your team: it empowers it. Your people review only what's uncertain.
Under the hood: a chain of AI steps on Anthropic's Claude models that builds the codebook, codes every response and proposes new codes for your team to approve. Your data doesn't train models.
Built for researchers, not data scientists.
Every layer understands your context: study type, framework, industry, language. Output follows market research conventions.
One-time payment. Credits never expire.
Same features across every pack. The only thing that changes is price per credit — the larger the pack, the lower the cost.
Code your first 250 responses, free.
No credit card. No onboarding. Upload your file and watch the multi-layer pipeline produce a professional codebook in minutes.