Maintenance work order stall-point report
Problem
A facilities manager tracking a repeat failure, a broken door closer, a leaking valve, usually explains the delay the same way: the contractor is slow. Nobody has actually checked. The work-order system logs a timestamp every time a ticket changes status, raised, triaged, assigned, parts ordered, closed, but nobody has pulled those timestamps apart to see where the time is really going. The maintenance supervisor manages by memory of the last few jobs, not the pattern across hundreds of them. When a safety certificate audit or a governing body asks how long faults typically take to close, the answer is an estimate. The stage actually swallowing the days, often the wait for triage rather than the contractor, stays invisible because nobody has coded it against the asset or the stage.
Product idea
A report built from the timestamps the work-order system already captures on every status change. It reconstructs each order's path through raised, triaged, assigned, parts ordered and closed, and shows the dwell time at each stage as a distribution rather than a single average, so a handful of very slow triages do not hide behind a reasonable mean. It flags the stage actually consuming the most time across the backlog, which is frequently not the stage a facilities manager would name unprompted. Currently open orders that have sat longer than typical for their stage are listed separately, so a stalled ticket is visible before it becomes the next repeat failure. It does not reassign work, message contractors or predict completion dates. It shows where the time goes and leaves the decision to the people who own the process.
Who it is for
Facilities managers and maintenance supervisors who want to see where the backlog actually stalls, and estates coordinators who prepare the response-time answer for a safety certificate audit or governing body enquiry.
Possible first version
A single-screen tool that accepts a CSV export of work order history with a timestamp column for each stage. It computes dwell time per stage, plots the distribution, and lists currently open orders exceeding the typical dwell for their stage. Stage names and expected ranges are configurable so they match how the organisation actually labels its workflow. Out of scope for version one: a live connection to the work-order system, since the export is the integration for now; automatic escalation or contractor notification; and any prediction of when an open order will close.
- Build classification
- Micro-tool
- Rough effort
- 1-2 week prototype
- Roles involved
- Facilities manager, Maintenance supervisor, Estates coordinator
- Relevant to
- Professional club, Venue & stadium operator, Collegiate athletics, Federation / governing body
- Systems in play
- Maintenance and work-order systems, Spreadsheets
- Product framing
- Find the bottleneck
Questions we get asked
What do we need to have ready before this is any use to us?
A CSV export from your work-order system covering a reasonable stretch of history, ideally several months, with a timestamp for each status change: when a ticket was raised, triaged, assigned, parts ordered and closed. If your system does not record one of those stages separately, that stage cannot be measured, and it is worth knowing that gap exists before assuming the report can answer every question about the backlog.
Does this replace our work-order system?
No. The work-order system stays where tickets are logged, assigned and closed. This reads its history and shows a pattern the day-to-day screens are not built to surface. Nothing here writes back to it, moves a ticket, or changes who owns a job.
Our maintenance supervisor already knows where the delays are. Why produce a report to tell us that?
Sometimes the report confirms exactly what the supervisor would have said. Sometimes it does not, because memory is shaped by the two jobs that were memorably slow, not the pattern across the whole backlog. It takes a few minutes to check before committing budget or a process change to fixing the wrong stage.
Who keeps this running once it exists?
Usually whoever already owns the export, often the estates coordinator or the facilities manager. Version one has no live connection, so the report is only as current as the last export loaded, and someone needs to decide how often that happens. Stage definitions and expected dwell ranges also need occasional review as the workflow changes.
Is this your workflow?
Tell us one sports workflow that still runs on paper, spreadsheets, WhatsApp or an outdated system. We will map it and show you what a simpler product looks like.
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