Pipeline Data Integrity Gate (Onboarding)

Pipeline Data Integrity Gate (Onboarding)

1. 01

   Map every pipeline stage to the client's actual sales motion

   Confirm that stage definitions in the CRM match how the client really moves deals, not the vendor's default labels. A mismatch here corrupts every forecast built on top.

2. 02

   Reconcile historical win rates and cycle times per stage

   Pull 12 months of closed deals and compute stage-level conversion and duration. These numbers become the baseline for any AI-driven forecast you later enable.

3. 03

   Verify integration depth between the pipeline tool and the CRM

   Check whether the sync is bidirectional and real-time. Tools like Clari or Fullcast are only as accurate as the CRM data they ingest, so confirm field mappings and update frequency.

4. 04

   Audit partner-sourced pipeline for duplicate or unregistered deals

   If the agency runs a partner channel, ensure deal registration rules are enforced in the PRM. Duplicate or unregistered partner deals inflate the pipeline and distort forecasting.

5. 05

   Document data ownership and access permissions per team

   Define who can edit pipeline fields versus who only views. Overly broad edit access leads to inconsistent data entry, while locked-down pipelines slow down legitimate updates.

6. 06

   Establish a weekly pipeline hygiene cadence

   Schedule a recurring review where stale deals are aged, lost deals are closed out, and stage changes are validated. This keeps the pipeline clean enough for reliable forecasting.