Monthly Performance Report — April 2026

Pradip P has the fleet's highest average job value by far but the fewest jobs per day (4.11). His route is already well-clustered (8/10). Adding just 1 additional job per day at his avg value = +$7,128/month (18 days × $396). His calendar needs to be checked for fill rate.

Vlad S worked all 20 available days (highest attendance) but earns $1,333/day vs fleet avg of $1,657 — a 20% gap. His average job value ($236) is the lowest of all full-time techs. He appears to be scheduled onto low-value commercial services. Reviewing his job mix for higher-value services could lift him by ~$6,500/month.

SINSW services generated $36,467 from just 36 jobs — an avg of $1,013/job vs the fleet avg of $282. Currently only Levi G, Jackson D, Pradip P, and Chris A are completing these. If additional accredited technicians could take on SINSW work, the revenue-per-job uplift is substantial. Consider: which techs are SINSW-qualified and under-utilised on this contract?

Monday has the lowest average job value ($291 vs $332 on Tuesday) and the lowest job count. Even removing Easter Monday, Mondays account for a disproportionately small share of weekly revenue. This may indicate lighter scheduling or lower-value jobs being placed on Mondays. Checking Monday fill rates by technician would show whether this is structural.

Despite Ganesh P being the top revenue earner, his route efficiency score of 4/10 is the joint lowest — he visits 4.8 suburbs for 5.2 jobs, meaning essentially 1 job per suburb per day. Tighter area clustering (targeting 2+ jobs per suburb) would reduce travel time and potentially allow 1 additional job/day = ~$355 more/day.

Liam K worked only 13 of 20 available working days. At his current daily avg of $1,380, the 7 absent days represent $9,660 of unrealised revenue. If absences are ongoing, this capacity needs to be understood and either filled by Liam or redistributed. His cancellation rate (15.2%) also needs attention.

Josh H has the best geographic clustering score (10/10, matching Daniel K) but only 4.61 jobs/day. His large council service jobs (Mosman, up to $2,580 each) are high GP but infrequent. Filling the gaps around those anchor jobs with standard commercial services could lift his daily revenue from $1,354 to closer to fleet average without any additional travel.

WC 27 Apr generated only $11,572/day vs $22,000/day in the Easter week and $19,553/day in peak week (WC 13 Apr). This is a consistent pattern to watch — does it happen at the end of every month? If so, it may indicate forward-booking gaps. Compare against March and May end-of-month figures when available.

121 pencilled-in jobs valued at $23,160 were still outstanding at month end. Tracking conversion rate on these is important — if 50% convert this is $11,580 additional revenue; if they cancel, they join the existing $49,796 problem. Chasing confirmation on pencilled-in jobs before the booking date should be a standard scheduler task.

Daniel K does the most jobs per day (7.3) and has excellent route clustering (10/10) but the second-lowest avg job value at $239. If 20% of his daily jobs were upgraded to higher-value services (e.g., more 2-storey or SINSW), his daily revenue could rise by ~$200–$300/day = $4,000–$6,000/month with no change to his route.