Wizards
Two-minute checks
A guided run when you know the problem but not what we call it or which tools relate. Each one answers its own question from a handful of from-memory inputs — no signup, no data upload — and points you toward what’s next. A starting read, not a measurement: the value is seeing the shapeof the problem clearly enough to decide whether it’s worth sharpening. Start wherever you’re stuck.
The engine
Paste your data. Get the story it confirms.
Six data shapes, a catalog of tested story templates with falsifiable truth conditions, and an honest null. Bring a series, a comparison, a distribution, a relationship, a funnel, or a mix — leave with the confirmed story, its evidence, and what more certainty would cost.
Anyone with a metric and a meeting
Product preview
The people update your board actually reads.
Headcount, composition, movement, performance — assembled automatically from the story-card engine. Every claim evidenced; steady states reported as findings; ends with what-next, priced.
Heads of People & HR leaders
Start here
Not sure where to start?
Start with the problem, not the tool. Six questions point you to your fastest first read — and how to run it. The front door to the checks.
Anyone who can't yet name the problem
Compensation
Where's your value equation leaking?
Which kind of value — external, internal, or personal — is most likely errant in your pay, and whether it's surfacing as an attraction, activation, or attrition problem.
Comp & total-rewards leaders
Team performance · CAMS
What's the one binding constraint on your team?
Capability, alignment, motivation, or support — which one is throttling the team right now, and the one move it implies.
Managers & people leaders
People analytics function
Built for judgment, or just reports?
Which archetype your people analytics function is in — Report Factory, Stalled Build, Trusted-but-Overloaded, or Decision Partner — and the one move that follows.
Heads of HR & analytics
Decision · value of information
Is this analysis worth doing?
Before you commission the study: whether reducing this decision's uncertainty is worth it — and sometimes the honest answer is just decide.
Anyone facing a call under uncertainty
More checks are on the way — for building an analytics project from scratch, for valuing the analysis before you commission it, and for surfacing where a leadership team is actually (mis)aligned.