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RevOps Data Readiness Scorecard

Answer 14 questions and get an instant 0-100 score for how ready your HubSpot data is to support reliable reporting, automation, and AI-assisted workflows. Per-dimension bands tell you exactly where the gaps are.

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Data Readiness Scorecard assessment

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1 of 5 Data Trust

Can your team rely on HubSpot numbers without cross-checking them elsewhere? These questions surface the most common signs that reports have diverged from reality.

When two people pull the same report in HubSpot on the same day, do they ever get different numbers?
Is there one agreed source of truth for pipeline and funnel numbers, or do teams use separate spreadsheets to "correct" the CRM numbers?
In the past six months, has a business decision (headcount, budget, quota) been made based on CRM numbers that turned out to be wrong?
2 of 5 Governance and Ownership

Good data does not maintain itself. These questions check whether someone owns the data layer and whether the definitions that underpin it are written down.

Is there a named person or team who is responsible for the health of HubSpot data, with authority to define and enforce property standards?
Are your lifecycle stage definitions written down somewhere your whole GTM team can find them? (For example: what exactly makes a contact a "Marketing Qualified Lead" vs. a "Sales Qualified Lead" in your portal?)
Do custom HubSpot properties have clear, written definitions that explain what value should go in them and who is responsible for filling them in?
3 of 5 Structure and Modeling

The shape of your data determines which reports are even possible. Deduplication, association integrity, and property hygiene are the structural foundations.

If you searched for a specific company in HubSpot right now, would you expect to find duplicate company records for them (the same company entered more than once)?
Are your contacts and deals reliably associated with the correct company records, so that account-level rollups (total pipeline per account, all contacts at a company) are accurate?
How many custom properties do you have that nobody uses, cannot explain, or that duplicate information already stored somewhere else in HubSpot?
4 of 5 Automation Hygiene

Automations that conflict, overlap, or write the same field from multiple places are one of the leading causes of data quality breakdown. These questions surface that risk.

Are there active workflows in your portal that nobody is confident changing because it is unclear what else depends on them?
Do you have multiple workflows that update the same contact or deal property from different triggers? (For example, two workflows both writing to "Lifecycle Stage" or "Lead Status" under different conditions.)
Over the past year, has a workflow bug or unexpected automation behavior caused incorrect data to be written to contacts or deals at scale?
5 of 5 Documentation and Bus Factor

If the person who built your HubSpot setup left tomorrow, would the next person know where to start? These questions measure institutional memory and knowledge transfer risk.

Is there a single person on your team whose departure would leave the rest of the team unable to safely change HubSpot automations or reporting?
Is there written documentation that describes how your HubSpot portal is set up, what the major automations do, and why key design decisions were made?

Start with the data layer.

Most HubSpot problems are data problems wearing a reporting costume. A Data Foundation Audit turns “the numbers feel off” into a prioritized, fundable backlog.

Explore the Data Foundation Audit