Audit
Reviewed configuration, data and usage patterns across the Sales Hub instance.
3
Workstreams: audit, process, data
2
HubSpot Hubs optimized
4 months
Delivery timeline
The client is a professional services company of around fifty people, working in AI-driven solutions. Like most firms that size, it bought HubSpot to run sales properly and then never had a quarter free enough to configure it properly.
What follows is familiar. The portal gets set up quickly to get the team working, then grows by accretion. Properties are added when someone needs one, stages are renamed to match whatever the process was that year, workflows are built and never retired. None of it is wrong on the day it is done, and the accumulated result is a system nobody fully understands.
By the time HubXpert was engaged, the firm was paying for Sales Hub Enterprise and using a fraction of it, the sales process and the pipeline had drifted apart, and the reporting was producing numbers the leadership team did not act on because they did not believe them.
Nothing was broken loudly. The portal worked, deals closed, and reports generated. The problem was that none of it was reliable enough to make decisions with, which is the only reason to have a CRM at all.
The existing setup lacked deliberate structure, which produced inefficiency and left most of what the firm was paying for unused.
Steps had accumulated one at a time, which produced delays, missed opportunities and inconsistent data entry across the team.
Deal stages described a process the firm no longer ran, so the pipeline told leadership something other than what was actually happening.
Inconsistent records meant reporting was treated as indicative rather than accurate, which is the point at which a CRM stops informing decisions.
Without validation rules or governance, any cleanup would have decayed back to the same state within a year.
The engagement ran in three workstreams, in order. Auditing before changing anything meant the redesign addressed causes rather than symptoms, and the data work came last so it landed on a structure that would hold.
The Sales Hub instance was reviewed end to end, covering configuration, data and actual usage patterns, because how a team really uses a portal rarely matches how it was designed.
Existing workflows, pipelines and dashboards were assessed on whether they were doing anything useful, which is a different question from whether they were working.
Specific areas for improvement in data management, automation and reporting were identified and prioritized before any build began.
The existing process was mapped and the bottlenecks located, so the redesign started from where deals actually slow down.
Pipelines and deal stages were rebuilt to match the firm's real sales cycle, which is what makes a pipeline report mean something.
Workflows were implemented for lead management, task assignment and follow-up, removing the manual steps that were producing the inconsistency.
Data validation and automated cleansing processes were implemented to improve accuracy and consistency at the point data enters rather than afterwards.
Data governance policies were established and the sales team was trained on using Sales Hub properly, because a portal decays back to its previous state without both.
Four months, with the first of them spent changing nothing. Redesigning a pipeline before understanding how the team actually works produces a second system nobody uses.
Reviewed configuration, data and usage patterns across the Sales Hub instance.
Evaluated existing workflows, pipelines and dashboards for effectiveness and identified what to keep.
Prioritized improvements across data management, automation and reporting.
Mapped the real sales process, located the bottlenecks, and rebuilt pipelines and deal stages around the actual cycle.
Built the lead management and follow-up automation, and implemented validation rules and automated cleansing.
Established data governance policies and trained the sales team on the rebuilt system.
The firm now runs a portal that matches how it sells, on data it can rely on, with governance that keeps it that way.
3
Workstreams: audit, process, data
2
HubSpot Hubs optimized
4 months
Delivery timeline
The firm uses what it pays for. Sales Hub Enterprise capability that had been sitting unused is now part of how the team works day to day.
The pipeline reflects the real sales cycle. Stages describe the process the firm actually runs, which is what makes a pipeline report worth reading.
Reporting became reliable. Data quality work produced accurate and consistent records, so reports moved from indicative to trusted.
Decisions are made on the numbers. Custom reports and dashboards give leadership actionable insight rather than figures they have to caveat.
The improvement is governed. Validation rules, automated cleansing and data governance policies keep the portal from drifting back.
The team knows how to use it. Training on Sales Hub best practice means the system is maintained by the people in it rather than by periodic outside intervention.
Because most visible problems in a portal are symptoms. Auditing configuration, data and actual usage first means the redesign addresses what is causing the drift rather than what is most annoying.
Four months for this engagement, across audit, assessment, scoping, process redesign, automation and data quality, then governance and training.
If the stages describe a process the team no longer follows, the pipeline report is telling leadership something that is not true. That is worth fixing even when the portal feels functional.
Only with governance. This engagement implemented validation rules, automated cleansing and data governance policies, because a one-time cleanup on a live portal decays within a year.
Yes. The sales team was trained on Sales Hub best practice, since a system nobody knows how to maintain returns to its previous state regardless of how well it was rebuilt.