Corvin Health cut ad-hoc data requests 80% by letting PMs ask directly

Corvin Health cut ad-hoc data requests 80% by letting clinicians and PMs ask questions directly.

Healthtech
Industry
2 data, 18 product
Team
−80% requests
Headline result
01

The challenge

Corvin Health's two-person data team fielded roughly forty ad-hoc requests a month. Most were variations of “why did this number change?” — each one a half-day of work that produced no reusable asset.

Modelling work had been deferred for a year.

02

What Trace found

Trace let product managers and clinical leads ask questions in plain English and get an explanation with the cohort and the cause attached — no SQL, no ticket.

Anomaly alerts routed by surface, so the platform team saw latency shifts and the product team saw scheduling drop-offs.

03

Results

Monthly open requests fell from 42 to 8. The data team resumed the modelling roadmap they'd shelved, and an anomaly alert caught a scheduling regression before the first support ticket arrived.

  • 80% reduction in ad-hoc requests
  • Data team back on modelling work
  • Regression caught by alert, not by customers
−80% requests
fewer ad-hoc data requests
42 → 8
open requests per month
1 year
of deferred modelling work resumed

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