Pre-transformation diagnostics

Find the faultlines before the earthquake.

AI-powered intelligence that uncovers hidden readiness, capability, and leadership risks — before they become costly failures. Ten days, private structured interviews, three documents that change the steering-committee meeting.

Live signal — what your organization already knows
Baseline — steady state P-wave — caught early Avoided disruption
88%
of business transformations miss their original goals — Bain & Company, 2024.
25min
per person. Private, structured, pausable.
10days
from kickoff to sponsor readout.
100%
of findings traced to something your people actually said.
~5%
of the cost of a traditional consulting diagnostic.
What you receive

Two documents. One clear answer.

Everything a sponsor needs to decide whether to launch — nothing they have to interpret on their own.

REPORT 01

Absorption Report

Can each part of your organization absorb this change, right now? Scored plainly — ready, at risk, or not ready — with the one thing to fix first.

Scored on the 5C model: ClarityConvictionCapabilityCapacityCohesion
REPORT 02

Friction Ledger

A ranked list of specific, named frictions — in your people's own words — each with one clear action and an owner. Not a reading document. A to-do list.

Each entry carries: FrictionOwnerAction
Optional add-on If three or more senior leaders take part, we also produce a Leadership Compass — a private view of where your leadership team quietly sees things differently, shared with the sponsor alone, before anyone else. Most engagements don't need it. When they do, it's the most valuable page in the packet.
How it works

From kickoff to readout in ten business days

01 — Day 1

Scope

A short session to define the change, the teams involved, and what success looks like. No lengthy questionnaires.

02 — Day 2–8

Interviews

Every participant gets a private, 25-minute structured conversation — interactive, pausable, on any device. Built for the people who never answer a survey.

03 — Day 9

Signals

Every conversation produces specific, typed findings. Aggregation is arithmetic, not opinion — every number in your report traces back to real sessions.

04 — Day 10

Readout

A live session with your sponsor: both reports, owners assigned to the top frictions, and a re-check scheduled so every number gets a trend line.

Case study

How a regional auto retailer surfaced its transformation risk in nine days

Illustrative scenario — anonymized, composite of engagements in this sector
IndustryAutomotive retail Footprint6 dealership locations, Middle East Headcount~340 employees Duration9 business days

Leadership had committed to a group-wide CRM and inventory-management rollout, expecting a straightforward six-month transition. Each location had run its own version of the sales process for years, and no one at head office had a clear picture of how different those versions actually were.

PreQuake ran structured interviews across every location in parallel. The Absorption Report showed one location scoring well below the rest on operational capacity — sales staff were already absorbing a parallel paper-based workaround the rollout hadn't accounted for. The Friction Ledger surfaced the same specific blocker, independently, from more than a third of participants at that location: no agreed owner for customer records during the handover window.

340people interviewed across 6 locations
9 daysfrom kickoff to readout
1location flagged not-ready before launch date
3 weeksthe fix took, before the group-wide rollout proceeded

Leadership delayed that one location by three weeks, assigned a named data owner for the handover, and launched the remaining five on schedule. The location that waited avoided the record-handling failure the other five had to work through live.

"We'd have found this eventually — in production, with customers watching. Finding it nine days in instead of nine weeks in was the entire value." — Operations sponsor, illustrative scenario
Why PreQuake

We've sat on both sides of a transformation.

As the people running the numbers in a steering committee, and as the employees who never got asked what we actually thought before a rollout landed on our desks.

The pattern repeats everywhere: leadership commits budget, timelines, and reputation to a change, and the people who'll actually determine whether it works are the last to be consulted — usually with a survey nobody trusts enough to answer honestly.

We built PreQuake around a simple bet: if you can talk to every single person affected by a change — not a sample, not a focus group, everyone — privately enough that they'll tell you the truth, you get a genuinely different quality of signal than any method that came before it. Structured interviews have always been the right way to find this out. They've just never been affordable or fast enough to run at the scale a real organization needs. That's the problem an AI-native approach actually solves.

We're a small team with a foot in both worlds — enterprise strategy and hands-on transformation work, and the technical background to build the AI layer properly, with privacy as an architectural guarantee, not a policy page. We're not naming names yet — we'd rather let the first few diagnostics speak for themselves. That part's coming soon.

Privacy architecture

Honest answers require real protection — ours is published, not promised

Anonymity isn't a policy page here. These rules are visible to every participant before they start, and they're contractual.

L0–L1

Minimal, scrubbed collection

Sessions are keyed to cohort and role only. Names are never stored, even if mentioned.

L2–L3

Group-level reporting

No individual view exists. No cohort is reported below a minimum size.

L4–L5

No transcript access

There is no screen, anywhere, that shows one person's answers — by design, not by permission.

Read our full privacy policy →
Start

Before you spend millions transforming your company, spend ten days finding out where it will break.

Diagnostic cycles start at $12,500 and include both reports, a live readout, and one re-check cycle.