Survey-scale reach.
Interview-grade depth.
Due & Diligence is an AI survey tool that goes deep on every answer. Closed-ended surveys show you the what, rarely the why — so respondents answer by voice, our AI probes each one in real time, and real people verify the results before they reach you. The outcome: reliable insight into a market, a product or your customers — at survey speed and scale, in days, across B2B and B2C.
Most research makes you pick between fast and deep. We sit in the middle — and add a human check on top.
Fast and cheap — but shallow. You get numbers, not the reasons behind them, and fake or careless responses are common.
Depth and scale, in days — people answer in their own words, and the AI digs deeper on every one.
Deep and rich — but slow, expensive, and only a handful of people. Hard to run at any real scale.
Every study passes a human review layer before release — a specialist checks coherence, completeness and fraud signals. It's the step a standard survey tool doesn't offer, and the reason clients act on the numbers with confidence.
Tailored follow-ups surface the rationale behind each response — across hundreds of respondents.
Every response passes an analyst checkpoint — the safety net automated checks alone miss.
Structured, fraud-screened and ready to act on — in the room, not after weeks of clean-up.
We interviewed practitioners in consulting, private equity and corporate strategy before building this. Six things they said they need — and how you get each one.
Vetted panels and identity checks put your questions in front of the actual decision-maker — and prove who answered.
Every open answer is spoken, then probed by AI for specifics — the reasoning behind each rating, at survey scale.
Fraud, duplicate and rushed responses are screened out and checked by an analyst, so the numbers hold up in the room.
Survey live within 24 hours, 200+ responses a day, topline in days — fast enough for a deal or a launch window.
Respondent-level data, clean crosstabs, flexible segments and visibility into fieldwork while it runs.
Not just a dashboard: we flag anomalies, spell out the commercial implication and name the next question worth testing.
In short: not “AI surveys” — a fast, verified and adaptive research workflow that gives you evidence you can defend in a high-stakes decision.
Four steps take a scoped questionnaire all the way to an analyst-verified dataset — usually in a matter of days.
Ratings, NPS and voice open-ends, scripted and QA'd by our team.
Respondents answer out loud — captured and transcribed automatically.
The engine probes each answer in real time for specificity and rationale.
Analysts review, then deliver a clean dataset and synthesis memo.
Follow a single study end to end: respondents answer by voice, an analyst verifies and codes every response, and you receive the finished report.
Human-verified before release — never a raw AI export. Figures illustrative.
Industry-wide, up to 40% of survey responses get thrown away — bots, duplicates and professional survey-takers. If that reaches your data, you decide on noise. Here is what we remove, stage by stage, before anything reaches you.
Share of responses that cannot be used
No verification — the industry-wide share rejected after fieldwork.
Vetted panels, identity and IP checks, voice detection, voiceprinting.
A person checks every response before release — this is what you receive.
Each stage is a subset of the one above it: the automated checks remove the bulk, and the analyst pass removes what is left.
Illustrative figures for a 450-response study. Industry fraud benchmarks: Kantar Marketplace Data Quality Report (kantar.com, 2024) and GreenBook GRIT Report (greenbook.org, 2025).
Vetted panels, profiled by role, industry, demographics and location — answering in their own language.
C-suite through to managers, any function — e.g. procurement, HR, finance, technical specialists. Industries such as manufacturing, healthcare, financial services, retail and tech, not limited to these.
Buyers and users of any product or service — e.g. telecom, banking, insurance, retail, apps, subscriptions. Filtered by age, gender, income, household type and location.
One study can run across several markets at once and still be compared like-for-like. More languages in progress.
Launching something new is where we get pulled in most — but the same methodology flexes across diligence, growth and customer questions, in B2B and B2C.
Live within 24 hours of go-ahead, and a topline in days. Here's how a project runs.
We agree audience, questions and scope.
Survey coded, logic built and tested.
Responses collected across 9+ languages.
Verified dataset, visualizations & synthesis memo.
Optional: expert check-ins can accompany your project — from scoping to the final read, whenever you want a human in the loop.
Every project ships analyst-verified: a clean dataset (raw & tabulated), pre-built visualizations and data maps, and a synthesis memo of the key themes.
The things clients ask before their first pilot.
Whether it's B2B or B2C — a market to size, a product to test, or customers to understand — a 15-minute scoping call is all it takes to start. We reply within one working day.
We'll come back within one working day with two or three slots and a first take on how we'd design the study.