Launch any survey. In minutes. Launch any survey (a brand tracker, a pricing study, a concept test) in minutes.
Describe your research in plain English. The KwantumLabs AI programs the survey in front of you, you test it live, and it fields to real people, ending in a live dashboard. Built by the researchers who published the methods.





From plain English to fielded survey
No survey software to learn. You talk, it builds. You stay in control of every decision that matters.
- 01
Describe it
Tell the AI what you need to learn, in plain English or by dropping in a questionnaire you already have. It programs the survey in front of you: questions, logic, quotas.
- 02
Test it live
Walk through your survey exactly as respondents will. Want a change? Ask from inside the survey. The AI patches it and you resume where you left off.
- 03
Launch and watch
Field to real people through integrated panels. Watch responses arrive, quality-checked automatically. End with a live, shareable dashboard.
Start from scratch
A blank page and a chat. Say what you want to learn; the AI drafts the study with you.
Upload a questionnaire
Drop in the Word doc or text you already have. It becomes a programmed, testable survey.
Bring your own results
Already collected data? Upload it with its data map and go straight to a live dashboard.
Some decisions deserve the people who wrote the methods.
The same platform, driven end-to-end by the researchers behind Brand Density™ and Customer Surplus Value: study design, fielding, modeling, and a boardroom-ready read.
Attribute grids blur real differences behind halo and central-tendency bias.
Fifty slides of metrics, none of them connected to retention, share, or revenue.
Six to eight weeks of waiting for findings that describe last quarter’s market.
That’s what traditional tracking gets you. We built the instrument that connects meaning to money, and made it fast.
From what people say to what it’s worth
One pipeline, four moves. It runs under every survey you build and every study we run. Watch a single open-ended answer become a dollar figure.
“Honestly? It just works when I need it. I stopped comparing alternatives a year ago. It feels like the safe choice, even if it’s a bit pricey.”
Own “it just works”: make reliability the hero of Q4 messaging.
Trust is your moat. Protect it in every pricing conversation.
Reframe price around value received; test proof-point creative.
Two products. Two ways we make your team sharper.
Run end-to-end by the founders: study design, fielding, modeling, and the read.
BrandSight™
Brand valueKnow what your brand means, and what that is worth.
- One open-ended question, mapped by AI into associations and drivers
- Brand Density™ and Brand Value Index™, tracked over time
- Dollar values (CSV) per driver, plus a 90-day action plan
LaunchFit™
Product-market fitKnow what to build, how to price it, and whether it will land.
- 30–50 AI-moderated interviews with your real buyers
- A decision model of what features and prices actually convert
- A what-if simulator linking price, features, and revenue
Built by the people who wrote the textbooks.
Five books. A metric introduced in Harvard Business Review. Insights leadership at LinkedIn, Microsoft, and GE. The platform is new. The science behind it has been peer-reviewed for two decades.
Kickoff to action plan in 10–15 business days
- 01
You bring the decision
“Should we reposition? Raise prices? Kill this feature?” A 30-minute kickoff defines the decision and what evidence would settle it.
- 02
We field signal-rich conversations
Voice-first, AI-moderated interviews and choice tasks with real people. n≈300–500 overall, 100–200 per key segment.
- 03
We model meaning into money
AI maps the language; our published methods link associations to drivers and price each one in retention, share, and revenue.
- 04
You act on a 90-day plan
A scorecard, a message map, and a prioritized action plan, decision-ready in 10–15 business days.
Traditional tracking vs. KwantumLabs
| Traditional tracking | KwantumLabs | |
|---|---|---|
| Question format | Long attribute grids | Unaided associations + targeted follow-up |
| Bias | Halo and central-tendency effects | Reduced via open response + proof points |
| Output | Many scores, no priorities | Ranked drivers with dollar values (CSV) |
| Time to value | 6–8 weeks | 10–15 business days |
| Actionability | “Monitor a metric” | Message map + 90-day action plan |
| Tracking | Awareness, favorability | Brand Density™ + value drivers |
The things people actually ask
Including the uncomfortable ones. Pricing is public, methods are published, and the synthetic-data answer is “augment, never replace.”
All questions →What can I do for free?
Build and test without limits: describe your study to the AI, get a programmed survey, walk through it yourself, and share test links with your team. You pay when you field to real respondents at scale or add the insights layer. Every price is shown before you commit.
Do I need research experience?
No. You describe what you want to learn in plain English; the AI handles questionnaire design, logic, quotas, and fielding mechanics, then asks you the few decisions only you can make, with a recommendation attached to each.
I already have survey data. Can I still get the dashboard?
Yes. Upload your results with their data map and go straight to a live Insight Hub dashboard. No re-fielding required.
What does a managed study cost?
LaunchFit™ typically runs $15K–$25K per audience for consumer studies (B2B is higher). BrandSight™ is about $35K for a single consumer market and about $75K for a typical B2B read. Pricing is published because procurement shouldn’t be a mystery.
How fast are managed results?
Most managed projects are decision-ready in 10–15 business days from field completion, including dashboards, a message map, and the 90-day action plan.
Do you use synthetic respondents?
Real humans come first, always. We use synthetic responses only to augment samples where they demonstrably help, never to replace the voice of the customer. We published our position on this in Quirk’s (2024).
Your next study, run by the people who wrote the methods.
The self-serve platform launches soon. Managed research is open today — put your study in the founders’ hands.