Cleaning and home services
11 released templates. Each passed a check on test data; it is switched on in the panel by the director, and a person decides on every proposal. Example results are illustrative: the names and companies in them are made up.
Quote from photos
The problem it removes: The customer asks for a price, and a technician drives out to look.
More detail
What it does: Preliminary price from photos and the customer’s answers, based on the company price list.
What a person decides: Final price.
For whom: Customer.
How to measure: Inquiries that became orders.
Post-job follow-up
The problem it removes: You find out about a bad cleaning or repair from a review.
More detail
What it does: Checks in with the customer the next day, collects photos and complaints, and passes them to the supervisor.
What a person decides: Redoing the job.
For whom: Customer, manager.
How to measure: Redos before a review.
Example result: “Hi Aigul! We did a deep clean at your place yesterday — were you happy with everything? If anything’s off, please send a photo, and our senior technician will take a look and set up a time to fix it.”
Repeat customers
The problem it removes: One-time customers don’t come back.
More detail
What it does: Offers a regular schedule and reminds about the next visit.
What a person decides: Terms.
For whom: Customer.
How to measure: Repeat customers.
Cleaning price by floor area
The problem it removes: A client asks “how much to clean my apartment?” and waits while the manager hunts for the price list.
More detail
What it does: Uses the client’s request and the price list to estimate a cleaning price by area and type of cleaning, and names extras and the minimum order.
What a person decides: The final price after inspection.
For whom: Customer.
How to measure: Inquiries turned into orders.
Appliance repair callout
The problem it removes: “The washing machine won’t drain — when can you come and how much?” Without an answer, the client calls a competitor.
More detail
What it does: Answers the client about a technician visit: arrival window, callout and diagnostic fee, when diagnostics are free, and what to prepare.
What a person decides: The technician’s exact time and the repair price.
For whom: Customer.
How to measure: Callout requests from messages.
Appliance repair warranty
The problem it removes: A month after repair the appliance breaks again — the client doesn’t know if the visit is free and posts an angry review.
More detail
What it does: Answers about the repair warranty: coverage period for labor and parts, what is and isn’t covered, and how to call a technician under warranty.
What a person decides: Recognizing a warranty case.
For whom: Customer.
How to measure: Warranty visits without conflict.
Example result: “Aigerim, our labor warranty is 3 months and replaced parts are covered for 6 months. Your repair was on September 2, so the warranty is still valid. Send the receipt number and a short description — the technician will come under warranty with no callout fee.”
Photo report after cleaning
The problem it removes: The client was at work during the cleaning and doesn’t know what was done — and complains a week later.
More detail
What it does: Uses the team’s checklist to prepare a short report for the client: what was done, what wasn’t and why, and which photos are attached.
What a person decides: Redo and compensation.
For whom: Customer.
How to measure: Complaints after cleaning.
Example result: “Zhanar, the cleaning finished at 16:40. Everything on the list is done: kitchen, bathroom, windows, floors in every room. One thing didn’t work out: the wine stain on the bedroom rug didn’t come out fully — it needs a rug dry-clean, the team lead left a photo. Before and after photos are in this message.”
Weekly crew schedule
The problem it removes: Crews drive from one side of the city to the other, and big jobs go to those whose day is already full.
More detail
What it does: Uses the list of jobs and crews to suggest which crew takes which job given district, size and workload, and what to shift.
What a person decides: The final schedule.
For whom: Service manager.
How to measure: Hours on the road and idle crews.
Example result: “Action: give the deep clean at 11 Kabanbay Batyr St. to Saule’s crew — she’s working in the same district that day — and leave Marat’s crew two small jobs on the right bank. Effect: an hour less on the road and nobody idle. Risk: Saule’s day runs until 19:00. Rollback: if the first job runs long, move the second to Friday morning.”
Dry cleaning: turnaround and price
The problem it removes: People message the dry cleaner “how much for a coat and when will it be ready?” — and leave if the reply takes an hour.
More detail
What it does: Answers the dry cleaning client: the price per item from the price list, when it will be ready, express service and pickup, and what isn’t accepted.
What a person decides: Accepting delicate items and stains.
For whom: Customer.
How to measure: Orders from chat.
Plumber and electrician: emergency call
The problem it removes: A leaking tap or tripped breaker at night — the client messages several services, and the first to reply gets the job.
More detail
What it does: Answers an emergency plumber or electrician call: when the technician arrives, the urgent and night callout fee, and what to do before arrival — per the company’s guide.
What a person decides: Dispatching the technician and the job price.
For whom: Customer.
How to measure: Emergency calls turned into jobs.
Service week: jobs and redos
The problem it removes: The manager sees revenue but not which crew redoes work most often or where jobs get lost.
More detail
What it does: Builds a summary from the week’s job export: jobs and revenue by crew, redos and cancellations with reasons, and what to fix next week.
What a person decides: Decisions about crews.
For whom: Service manager.
How to measure: Share of redos.
Basis: product documentation; the platform code. This page describes what exists in this build, not what is planned.