The analysis stops at delivery
Every follow-up question sends an analyst back into the files to reconstruct the right universe, rerun the cut, and explain the context again.
For Research Agencies
Wick prepares, governs, and connects survey data, crosstabs, models, findings, and methodology so clients can query, reuse, and activate the work long after the final deck.
The Product Shift
Your methodology already creates valuable intellectual property. Wick turns the data, calculations, segments, models, and context behind each engagement into a governed layer that keeps working after delivery—while your agency retains control of the method and interpretation.
Clients can pursue follow-up questions and activate the work without asking your analysts to rebuild the project every time.
Weights, universes, definitions, derived variables, caveats, and model records remain bound to the intelligence they produced.
New variables, models, analyses, and reusable capabilities return to the layer instead of disappearing into the final deliverable.
The Problem
A study may be rigorous and genuinely valuable, but its intelligence gets fragmented across data files, codebooks, crosstabs, model outputs, and decks. AI sees isolated artifacts instead of a governed body of research it can reason from.
Every follow-up question sends an analyst back into the files to reconstruct the right universe, rerun the cut, and explain the context again.
Weights, bases, definitions, missing-data rules, derived variables, and model documentation live in different places. Without that context, AI guesses—and the agency has to check the work.
What Wick Is
Wick turns respondent data, population benchmarks, derived variables, models, tabulations, findings, and methodology into one AI-ready system. People and AI can ask new questions against the same governed assets while your agency retains control over definitions, permissions, and interpretation.
Talk to our teamHow It Works
Foundry packages the full research asset, Workshop turns follow-up questions into governed analysis, and Gateway delivers approved intelligence to the people and AI systems that need it.
Step 01 · Govern
Package the full research asset—not just the final output. Prepare questionnaires, respondent data, weights, universes, codebooks, definitions, derived variables, models, and lineage as one AI-ready foundation.
The context required to interpret the research stays attached to the data instead of living in an analyst's memory.
Step 02 · Analyze
Turn follow-up questions into governed analysis. Join waves and files, compute composites, define new segments, run tabulations, test models, and generate reusable decision assets.
Every approved calculation and analytical capability returns to the research layer, ready for the next question.
Step 03 · Deliver
Put the research inside the tools clients already use. Connect approved data, findings, and methodological context to assistants, agents, client portals, internal apps, APIs, and downstream workflows.
Clients can query and activate the work while every answer begins from the same governed evidence.