Reporting hours saved
Time no longer spent building spreadsheets by hand each week.
Plumbing companies · KPI and pipeline dashboards
The plumbing numbers that matter, ready every Monday
Plumbing owners usually know revenue and roughly how busy they are. What is harder to see is why a month went well or badly. Was the call booking rate down, did average ticket slip, did one tech's close rate drop, or were callbacks eating capacity? Those answers sit across your field software, phone system and accounting.
How it often works today
- The owner or office manager exports reports into a spreadsheet every week or month, which takes hours and is often skipped when busy.
- Different reports define the same metric differently, so the field software and the accountant disagree on revenue per tech.
- Call booking rate is invisible because phone data and job data never meet in one place.
- Problems like rising callbacks or falling membership renewals surface only after they have hit the P&L.
A KPI dashboard pulls those numbers together automatically, with definitions everyone agrees on. The goal is a short weekly view for the owner and service manager, not a wall of charts nobody reads. We would build it from data you already collect, and show you plainly where gaps in that data limit what the numbers can tell you.
The improved workflow
Agree on the metrics
We pick eight to twelve measures with you, such as booking rate, average ticket, tech close rate, callbacks, revenue per truck and open estimate value, and write a one-line definition for each.
Connect the sources
Data flows from your field software, call tracking and QuickBooks Online into one place on a schedule, so nobody exports spreadsheets.
Build a simple weekly view
One page shows this week, last week and the trend, with filters by tech, job type and lead source.
Use it in a weekly meeting
The owner and service manager review the dashboard every Monday and record one or two actions, so the numbers change decisions.
How we deliver this: AI automation for small business or fractional CTO leadership, scoped in writing and run over 90 days. See pricing or the sample scope.
What we would measure
Dashboard usage
Whether the weekly view is actually opened and discussed, not just built.
Data mismatch count
Tracks disagreements between dashboard figures and accounting, a sign of trust in the numbers.
Where people stay in control
- Metric definitions are approved by the owner and documented, so the dashboard does not quietly change what a number means.
- Individual tech performance data is visible only to managers and is used for coaching, with the team told what is tracked.
- Access is limited by role, and financial figures from accounting are not exposed to everyone with a field app login.
Example
Spotting a booking problem
For example, a shop's revenue drops in a busy October. The dashboard shows inbound calls are flat, but the booking rate fell after a new CSR started. Listening to a few calls, the office manager finds the CSR is offering estimates instead of booking service visits. A week of coaching follows, and the booking rate is tracked each Monday. This is an illustrative scenario showing how the view supports a decision.
Tools typically involved
What the first 30 days look like
The first 30 days would cover listing the decisions you make each week, choosing the metrics behind them, and checking whether your field software, phone system and accounting data can support each one. We would agree on definitions and a first version of the weekly view to test.
Common questions
Our field software has reports. Why build a dashboard?
Built-in reports are often enough, and we would check that first. A separate dashboard makes sense when you need numbers from several systems together, like call tracking plus jobs plus accounting, or when nobody runs the built-in reports because they take too long to assemble.
Which KPIs matter most for a plumbing shop?
It depends on your goals, but common ones are call booking rate, average ticket, tech close rate on estimates, callback or recall rate, revenue per truck per day, membership count and open estimate value. We would start with fewer measures that the team will actually use.
What if our data is messy?
Most shops' data is. Inconsistent job types, missing lead sources and duplicate customers are common. Part of the work is fixing the inputs so numbers can be trusted. We would show you where data quality limits the dashboard rather than hide it.
The business case
Does it pay for itself?
Illustrative defaults for a plumbing company. Replace them with your numbers.
What this workflow costs today
a month in staff time, before any lost sales
Monthly fee + assumed tools +
Break-even: new clients a month (at first-year value)
Or: staff hours recovered and redeployed
Break-even additional revenue
Value of +1 point of win rate
First 90 days, service fee
Worth a closer lookTest the assumptions
Illustration only, not a forecast or guarantee. Recovered staff time becomes a cash saving only if spending actually declines or the time goes into paid work. Tool costs are an assumption; we replace every number here with yours before recommending a scope.
KPI and pipeline dashboards in other industries
Architecture firmsAuto repair shopsConstruction and general contractorsDental practicesElectrical contractorsEngineering firmsHVAC companiesIT managed service providers
KPI and pipeline dashboards: full guide
Related guides
Your first 90 days with a fractional tech leadHow to automate invoicing in QuickBooks OnlineA practical guide to CRM data cleanupHow to automate recurring client reports
Terms used here
Next step
Bring one expensive workflow. Leave with a clear next step.
In 30 minutes we look at one recurring workflow, what it costs you today and whether there is a credible case to improve it. If there is not, we will say so.
Book a 30-minute workflow review
Not ready to talk? Take the 3-minute check
30 minutes with Phil or Martin. No technical brief, no pitch deck. Phil or Martin replies personally, usually within one business day.