About Capstan Works
Data-engineering discipline applied to HubSpot. We fix what is broken at the data layer so your reports, automation, and pipelines finally agree.
Engineers who build, not consultants who advise.
Capstan Works was founded on a single observation: most HubSpot problems are data problems wearing a reporting costume.
The work is therefore data-engineering work: audits, migrations, integrations, and governed reporting applied to the CRM rather than the warehouse alone.
The founder
Capstan Works Principal is a senior HubSpot and RevOps engineer with years of hands-on portal work: data foundation audits, phased CRM migrations, workflow consolidation, and the kind of reporting that survives someone asking exactly how a number was built.
The approach borrows directly from data engineering: idempotency, dependency ordering, and versioned transformations applied to systems most agencies treat as spreadsheets with a logo.
How we think about the work
Tools are not the differentiator; discipline is. Every engagement starts at the data layer and produces something fundable.
- A defect register, not a vanity health score.
- A migration plan with documented phases, not a one-shot import.
- A governed reporting model where every number traces back to inspectable logic.
Nothing publishes, and nothing automates, on a foundation no one trusts.
The method, in three moves
Every engagement follows the same ordered sequence. The data layer comes first; everything else builds on top.
- Audit. Map every property, lifecycle stage, deduplication gap, and workflow dependency. Hand you a 20 to 25 page defect register: a prioritized, fundable backlog of what is broken and what it is costing you.
- Build. Fix the data layer in priority order, then build the reporting and automation on top. Every step is documented and you own the output.
- Run. Stay embedded as your RevOps function without the headcount: a senior operator owning the backlog of fixes, automations, and reporting month over month, with a governance cadence that keeps sprawl from returning.
Connect
Reach out through our contact page. To see the method in practice, read the field notes or browse anonymized case studies.