Reporting

Numbers your operator can actually use

Revenue, ticket size, first-time fix rate, tech utilization — surfaced as leading indicators, not month-end PDFs. Drill into a metric in one click.

What's inside

  • Daily revenue dashboard

    What did we close yesterday, last week, last month? Revenue by tech, by trade, by job type. Drill from total to individual work orders in one click.

    Benefit:End the 'where are we vs last year?' guesswork

  • First-time fix rate

    FTFR per tech and per trade, with the most common reasons for callbacks (wrong part, wrong skill, customer absent, undiagnosed second issue). Coach to the gaps.

    Benefit:Lift FTFR by 5–10 points = 10–20% more capacity

  • Tech utilization + idle time

    Hours billed vs hours scheduled vs hours on the truck. Identify chronic under-billing or over-scheduled techs. Real data, not gut feel.

    Benefit:Recover 5–15% of unbilled tech time

  • Average ticket size + trends

    Average revenue per job, segmented by tech, trade, and time. The single most-watched metric in residential trades. Trend it weekly.

    Benefit:$50 ticket lift on 800 jobs = $40K annual

  • Quote conversion + reasons-lost

    Quote-to-acceptance rate, average ticket size of accepted vs rejected, and a ranked list of reasons for rejection. Refine pricing and follow-up cadence based on real signal.

    Benefit:Lift quote conversion 5–15 points by killing what doesn't work

  • Customer LTV + churn signals

    Customer lifetime value, time-since-last-job, recurring contract retention. Identify churn risk before it shows up in revenue.

    Benefit:Catch at-risk recurring customers before they cancel

Who this is for

  • Owners running their business by gut feel without leading indicators
  • Operators whose 'reporting' is a monthly export to Excel
  • Teams where one tech under-bills hours and nobody noticed for 6 months
  • Businesses scaling past 5 trucks where dashboards become survival

Reporting questions

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