We run rigorous validation as a fast, self-contained lane alongside your normal process — real demand data in weeks, in a format your leadership can act on.
Large organizations move carefully for good reasons. But the same rigor that protects a product launch is heavy machinery for a quick, low-stakes market test — and that mismatch is where good ideas lose time.
Your internal process is built to do things thoroughly. Ours is built to answer one question quickly — so you reach the same go/no-go in a fraction of the time.
A flagship engagement inside a Fortune 100 manufacturer — and the same rigorous, fast approach proving out in ed-tech and B2B SaaS.
Caterpillar's Construction Industries Services Division (CISD) — the group focused on accelerating aftermarket services growth — wanted to know whether small-core operators would choose an L3 hydraulic-pump repair service over a Reman exchange. We ran the whole test as a self-contained lane, in parallel to their normal process.
A division focused on growing aftermarket services — looking for a way to test new service concepts at market speed, without tying up the internal review cycles built for full product launches.
Stood up Hydraline Pro — a fully branded concept site offering repair pricing at 15–55% of new-pump cost, with warranty, financing, and expedited-service options. Targeted real operators via a first-party data partner plus PMAX and Meta. Instrumented every step with custom GA4 events — no PII collected.
Statistically significant validation of both demand and pricing sensitivity — delivered as a final report plus a live Looker Studio dashboard. Caterpillar greenlit a dealership pilot on the strength of it.
The relationship grew within the same division — from the hydraulics initiative to Caterpillar's Building Construction Products group, one of CISD's core machinery lines.
“The speed was the thing. We got a defensible read in weeks — work that would normally have taken us months to move through internally.”
Global Hydraulics Growth lead, Construction Industries Services Division
“It gave us clean data we could actually take upstairs and act on — and a way to test ideas other teams here could use too.”
Project sponsor, CISD aftermarket services
Paraphrased from conversations during the engagement, attributed by role.
Validated teacher demand for an AI-assisted, NGSS-aligned science curriculum and pinpointed exactly where the funnel leaked — before a dollar of scale-up spend.
A/B-tested two messaging angles for an AI document-management product against B2B operations leaders — and cleared the demand threshold with statistical significance.
The hard part of enterprise validation isn't the method — it's running it cleanly alongside everything else you have in motion. That's what we're built for.
We can run through an established agency channel — the same setup we used with Caterpillar — so there's no months-long supplier-onboarding before the first experiment goes live.
Experiments run on our infrastructure under their own branding, in parallel to your process. Your team stays focused, and a quick test stays quick.
We capture behavioral signal only, through custom GA4 events — built to sit comfortably within the data guardrails enterprise teams already operate under.
Every engagement ends in a defensible go/no-go: p-values, confidence intervals, segmented breakdowns, and a live dashboard — built to be shared with leadership, not just you.
We pick the lightest method that produces a defensible answer — and instrument all of them to statistical significance.
T.K. Thrive is a small, senior team — product, technology, UX, and data-science depth in one room. Careers split between large organizations and the startups that disrupt them: lean experimentation run inside Fortune 100 environments, and products built from scratch in early-stage AI companies. Decades of combined experience, no junior pod handed off to you.
That background is the point. We understand the realities you operate in because we've operated in them — the review cycles, the brand sensitivity, the pressure to move fast and get it right. The methods are rigorous; the real value is knowing how to run them cleanly inside a large organization. Meet the team →
No pitch. Tell us the decision you're weighing and we'll come back within one business day — honestly whether a fast experiment fits, and if it does, a sketch of how we'd test it.