Cleaning Companies

Cleaner Performance: The Data-Driven Path to Bigger Margins

Luciana Nogales

Cleaner Performance

Cleaner Performance Starts with Numbers, Not Mops

Cleaning still happens with mops, vacuums and rags, but cleaner performance happens with numbers. The companies that climb from one-off local vendors to strategic partners for multi-property brands are the ones that can prove every minute, mile and square metre.

That’s impossible if your supervisors are chasing technicians for crumpled time sheets and blurry WhatsApp photos. It’s effortless if every job is tracked, photo-verified and analysed inside Doinn, the short-term-rental operations platform trusted by more than 3 000 cleaning vendors in 61 countries.

Why Cleaner Performance Is the New Currency of Cleaning Contracts

  1. Margin pressure is brutal. OTA rate wars squeeze property-manager profits; your quote is the first place they look for savings.
  2. Quality is transparent. One dusty shelf reaches Airbnb reviews before your team leaves the car park.
  3. Proof beats promise. Modern PMs demand geo-tagged photos, time-stamps and completion status, not “trust me.”

As conclusion, vendors who can show, not tell dominate RFPs and renewals.

cleanear performance

The Four KPIs to track the Cleaner Performance

KPIWhy it mattersWhere you’ll see it in DoinnHow to act on it
Service duration vs. baselineReveals labour overruns and pricing errorsInsights → Staff Services duration by memberRe-estimate catalogue; retrain outliers
First-pass quality rateRe-work destroys profit and erodes trustInsights Quality → Problems reportedCoach technicians; insert mid-service photo stops
On-time start %Late starts cascade into guest delaysInsights Properties → Execution Duration vs Expected Duration per PropertyFlag habitual late arrivers and take action
Cleaners rating (1-5)Correlates with guest cleanliness scoreJob Summary → Cleaner ReviewReward cleaners; share scorecards with clients

Note: Each KPI is generated automatically once technicians use the Doinn mobile app to Start, Pause and Finish a job or in the job summary rating provided by property owner/client.

cleanear performance

The Cleaner Performance Toolkit

Mobile Clock-In / Clock-Out with Geo-Fence

Technicians tap Start only after crossing the property’s geo-radius; GPS and time-stamp flow into the job record.

Photo Checklist:

  • 15 configurable checkpoints (e.g., “Inside microwave”)
  • Finish button stays greyed-out until required images are uploaded.
  • Add property-specific checklists for different types of properties to maintain quality.

Real-Time Dispatch Board

Coordinators drag-and-drop jobs, view live status icons (🟢 In Progress, 🟣 Paused, ✅ Done) and can catch any pending service to be assign rapidly. Board auto-refreshes every 30 s.

Service Analytics Dashboard

You can export the data on CSV to analyze in depth the monthly, quaterly or yearly resulsts.

Multilingual Ops Chat

40+ languages with instant two-way translation keep multinational crews synced (staff-only; guest inbox stays in PMS).

Benchmarks: Where Should Your Numbers Land?

Industry production tables such as ISSA 612 Cleaning Times list expected minutes per 1 000 sq ft for every task, vacuuming, wet mopping, restroom deep-clean, etc.

Example: ISSA says it should take 24.6 minutes to vacuum 1 000 sq ft with a 12″ upright. If your Doinn analytics show 32 minutes, you’ve uncovered an efficiency gap worth coaching or re-tooling.

30-Day Blueprint to Elevate Cleaner Performance

DayActionOutcome
1 – 3Connect client PMS to Doinn; import properties & bed specsBaseline catalogue auto-built
4 – 7Configure checklist photos & duration targetsProof framework set
8 – 14Train technicians on geo clock-in appData fidelity ✓
15Launch first live week with real-time dispatchVisibility ✓
16 – 22Analyse overruns; coach slowest 20 %8 % labour-minute drop
23 – 25Share KPI PDF with clientStickiness ↑
26 – 30Adjust pricing on high-variance propertiesMargin recovery

Repeat monthly; after Q4 you’ll have 12 months of irrefutable data to justify premium bids.

Monetising Performance Data

  1. Transparent bids: attach historical minutes per turnover to every RFP.
  2. Tiered SLAs: basic (photo proof) vs. gold (95 % on-time start guarantee).
  3. Bonus-malus clauses: your 97 % first-pass quality earns bonuses because you can prove it.

Avoid the Five Classic Pitfalls

PitfallPrevention in Doinn
Skipping baseline photosAdd photo task in checklists
Inflated timesGeo-track + Start/Finish on each service
Paper “black holes”Digital assignment mandatory
Language mix-upsMultilingual chat auto-translate
KPI overwhelmFour-metric default dashboard

Conclusion: Data Turns Brooms into Billable Proof

As we’ve seen, cleaner performance is the new currency for winning and keeping high-value cleaning contracts. The difference between a replaceable vendor and a long-term strategic partner lies in the ability to show, not just tell.

By leveraging tools that automatically track every minute, verify every task, and analyze every outcome, you can eliminate operational guesswork, build unshakeable client trust, and protect your profit margins.

Ready to make your performance undeniable? Schedule your Doinn demo now and unlock the analytics and insights you need to grow your business.

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