Here is a quick diagnostic. Go through each question below and ask yourself: can I answer this right now, from my phone, in under 60 seconds, without calling anyone?
If the honest answer to most of them is "I'd have to call my supervisor" or "I'd have to wait for the shift report," your operations data is not working for you. That gap has a cost, every day, you are making decisions with incomplete or delayed information about your own factory.
1
Which work orders are currently overdue on my floor?
This is the single most important operational question. Every overdue task is either a delivery risk, a quality risk, or a maintenance risk that is quietly compounding. In a well-run factory, the owner can answer this in 10 seconds from their dashboard. In most Indian factories, the answer requires a phone call to each supervisor.
Common gap: overdue tasks are invisible until they become a crisis
2
Which machines have had the most breakdowns in the last 90 days?
This tells you where to concentrate your preventive maintenance investment. It also tells you whether your worst machine is getting worse over time. Without a breakdown log linked to asset records, this question takes a week of digging through maintenance registers, if anyone kept them accurately.
Common gap: breakdown history lives in a paper register or a technician's memory
3
What tasks were completed on the night shift last night?
For factories running two or three shifts, the night shift is the one least visible to ownership. Issues that occur at 3 AM are often resolved informally, smoothed over in the shift report, or simply not recorded. A real-time task log means the owner has the same view of the night shift that they have of the day shift, without waiting for a handover briefing.
Common gap: night shift activity is reconstructed from memory at handover
4
Who has the most open tasks assigned to them right now?
This reveals whether workload is balanced across your team. A supervisor with 12 open tasks and a technician with 2 is a resource allocation problem, one person is overwhelmed while another is underutilised. In a paper-based system, this imbalance is invisible until someone breaks or something falls through the cracks.
Common gap: no visibility into individual workload until something goes wrong
5
Is the scheduled preventive maintenance for this week on track?
Most factories have a PM schedule. Very few can tell you, on any given Wednesday, whether Monday's and Tuesday's scheduled PM tasks were actually completed. The schedule lives in a register; completion is tracked verbally or not at all. A system where scheduled PM generates work orders and completion is logged gives you a real-time answer.
Common gap: PM schedule exists but completion is unverified until next audit
6
How long did it take to resolve the last three machine breakdowns?
Mean time to repair (MTTR) is one of the most important maintenance KPIs. If it is increasing, something is wrong, parts availability, technician response time, or diagnostic capability. If it is decreasing, your maintenance improvements are working. Without timestamped start and end records for each breakdown, this number simply does not exist.
Common gap: repair duration is estimated, not measured
7
Which jobs are at risk of missing their delivery date this week?
Delivery performance is the metric your customers see. Jobs that are going to be late are identifiable in advance, if you have visibility into current job status, remaining operations, and available capacity. Without this visibility, late deliveries are discovered on the due date, not managed the week before.
Common gap: delivery risk identified too late to do anything about it
8
How many issues were raised on the floor this month, and what were they about?
Issue frequency is a leading indicator of operational health. A factory that raised 40 issues in March and 65 in April is signalling something, increased load, a problem machine, a quality issue with a new material batch, or a personnel change. A factory with zero issues logged probably has an under-reporting problem. Trend data on issue volume is only visible if issues are systematically logged.
Common gap: issues resolved verbally with no aggregate visibility
What your score means
If you could answer 7 or 8 of these questions instantly: your operations data is in good shape. The focus should be on improving the quality and depth of what you are capturing.
If you could answer 4 to 6: you have the habit of digital tracking in some areas but not others. Identify which questions you could not answer and work backwards to what data would be needed to answer them.
If you could answer 3 or fewer: the gap between what you know about your factory and what is actually happening there is wide. Every business decision you make, investment, staffing, delivery commitments, is being made on incomplete information.
The goal is not perfect data. The goal is to be able to answer the eight questions above in under 60 seconds, from your phone, on any day of the week. That level of visibility changes how you run the factory, not because you become more controlling, but because you stop reacting to problems and start seeing them before they escalate.
The common thread in all eight questions
Every one of these questions is answerable, if tasks, breakdowns, and issues are logged in a system as they happen. None of them requires expensive hardware, a data team, or months of configuration. They all require one thing: that the events on your factory floor are recorded in a structured, searchable, reportable system instead of in a group chat, a notebook, or a supervisor's memory.
The factory that can answer all eight is not more digitally sophisticated than yours. It simply started logging earlier.
Answer all 8 questions from your phone
RakuOps gives you a live dashboard of every open task, breakdown, and issue on your floor, so you stop managing by phone call.
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