For Engineering VP
For an engineering leader watching platform attrition climb, Performix rules out the pay hypothesis and names the condition that's actually driving it — before the comp reset.
Platform attrition gets blamed on pay. Performix rules that out and names what's actually driving it.
The problem
What's happening
There's no single productivity number for engineering, so attrition gets pinned on the easy hypothesis — pay — and a budget gets drafted against it.
Why it stings
You suspect it isn't really comp, but you can't prove it, and a wrong call is expensive and hard to walk back.
Why it matters
Engineering's own research abandoned the single productivity metric; performance here has to be diagnosed, not assumed.
Where Performix comes in
You can't fix invisible work with a comp band.
Performix uses protected feedback + CAMS to show whether the binding constraint is pay or a condition like Support (visibility/recognition) — and its built-in compensation analysis confirms whether leavers are already at or above market.
How it goes
- 1
Run the diagnostic on the team that's actually leaving.
- 2
See whether comp or a condition separates leavers from stayers.
- 3
Aim the budget at the binding condition, not the comp band.
However you got here
The engine underneath is the same — and it doesn't work like the tools you've used.
Whatever brought you here, five things make the difference. Each is a real part of the product, not a roadmap promise.
The Insight Player
Findings play back like a playlist — precomputed, ranked, the next one cued. You don't assemble a dashboard; you press play.
See howA ranked list, not a dashboard
The system decides what you see — generally, then tuned to you. Closer to how search ranks results than how BI lays out tiles.
See howAsk your data
Ask in plain language; the answer admits how much we know — a measurement, an honest estimate, or a plan to find out.
See howRecipes, not blank pages
Pick the recipe for your situation and it brings the method — inputs, analysis, outputs deployed as one decision.
See howUniversal, but it adapts to the work
One model — Triple-A and CAMS — specialized to your kind of work by a research library that already absorbed what the literature knows.
See howSee it in a situation like yours
Walk a real diagnosis — the one condition blocking the team, and the action to unblock it.
Get it right
You keep the team by fixing what's binding — without the wasted comp spend.
Get it wrong
A comp reset funded for a problem pay won't fix, and the team still leaves.