If the forecast is wrong, it's RevOps. We make the data tell the truth.
A new RevOps leader inherits a CRM full of dead pipeline, stages that mean nothing, and a forecast leadership doesn't trust. We rebuild the data, the definitions, and the dashboards — and wire the outbound that fills the pipeline they report on.
RevOps inherits the consequences of every shortcut the GTM org ever took: duplicate records, stale fields, deal stages with no exit criteria, automations failing silently, and a stack where half the tools are shelfware. Leadership wants a forecast they can underwrite and coverage math they can trust. The job is to audit the inherited CRM, fix the definitions, and make the numbers honest before anyone can act on them.
leadership needs one forecast it can underwrite — RevOps owns it, and we rebuild the data behind it
What this seat actually owns.
The clock they're racing. We build against it.
The window is short and the sequence matters — here's how the strongest operators run it, and where we plug in.
- First 30
Audit the inherited CRM
Read the data quality, the stage definitions, the routing, and the stack — find what's broken, what's stale, and what's shelfware before changing anything.
- 31–60
Fix the foundations
Redefine stages with real exit criteria, dedupe and enrich the data, and wire routing and dashboards so the pipeline reflects reality.
- 61–90
Make the forecast trustworthy
A coverage and forecast view leadership can underwrite — and the hygiene to keep it true.
What they're up against.
A CRM nobody trusts
Duplicate records, stale fields, and dead deals inflating a pipeline that doesn't reflect reality.
Stages with no exit criteria
When every rep defines 'stage 3' differently, the forecast is fiction and coverage math is guesswork.
Shelfware in the stack
Tools paid for and barely used, with integrations that break quietly and corrupt the data downstream.
Reporting built by hand
Hours lost every week assembling the same dashboards, instead of the system producing them on its own.
What Avenfield does about it.
A motion built to produce a leading indicator before the new leader's first review — then handed over as a system.
A CRM and data audit
An honest read on data quality, stage definitions, routing, and stack — what to keep, fix, and kill.
AI-built hygiene and routing
Dedupe, enrichment, and routing that run automatically, so the records you forecast on are real.
A forecast spine — and pipeline to fill it
Dashboards and a forecast cadence, plus the outbound that puts real pipeline into the system you just cleaned up.
The first 90 days, accounted for.
A new leader just stepped in. Let's get them a number.
A new RevOps leader inherits a CRM full of dead pipeline, stages that mean nothing, and a forecast leadership doesn't trust. We rebuild the data, the definitions, and the dashboards — and wire the outbound that fills the pipeline they report on.