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Time Study Lab

Define the work. Time each observation. See where the time goes.

Fictional example loaded. Verify or replace every input before business use.

Study data stays in this page. Save the editable JSON file to keep it or reopen it later. Closing or refreshing loses unsaved changes. Avoid names, patient details and confidential information.

01 Define the study

Conditions, work mix and quality checks

Study one comparable work family and declared boundary at a time. Keep the observation order. Include representative work conditions, interruptions and quality requirements. Record exclusions with a reason; do not delete a long cycle just because it is inconvenient. Repeated observations from one short period may not represent other shifts or demand peaks.

02 Record the work

Start an empty study before collecting real data. The category describes the timed interval as a whole; use task / work-element mode to measure its parts. Changing a category does not prove that time is waste.

0.00 seconds

Clear example observations before timing. Time only the declared start and end events. Leaving this page stops the timer and discards the unfinished interval.

Paste durations

Seconds, one per line, decimal point. Appended rows use the step, category, units and note above. Maximum 500 rows.

Observation record — including exclusions
#UseDuration (seconds)Accepted units in this batchStep / task labelActivity categoryObservation note / Reason for exclusionRemove
Read the results ↓

03 Read the results

Observations in time order

Where observed time went

Categories summarize recorded durations, not total elapsed process time or labor hours. Overlaps may be counted more than once. A category does not establish avoidable waste or a root cause.

Time by step / task
Step / task labelIncluded observationsMean recorded duration • seconds

The editable file is free and can be reopened here. CSV is for analysis elsewhere; JSON restores this study.

Descriptive observations only. No guaranteed output, standard labor time or staffing recommendation. P90 uses sample interpolation; it is not a confidence limit.

Limits and assumptions

Study one comparable work family and declared boundary at a time. Keep the observation order. Include representative work conditions, interruptions and quality requirements. Record exclusions with a reason; do not delete a long cycle just because it is inconvenient. Repeated observations from one short period may not represent other shifts or demand peaks.

Planned stops reduce time only when the whole scoped process stops. Do not subtract downtime or changeover twice. Resource mode assumes equal independent resources, fixed batch size and acceptable output; shared staff, unequal resources, queues and losses require a fuller model.

Compare one work family and demand period at a time. For variable services, average takt is a planning reference—not a waiting-time or care-time target.

Lean Enterprise Institute · Takt · Cycle time

ORDREL

Your complete study is free

Collect observations, customize categories, inspect gaps and charts, save an editable study, export CSV, and print a basic report. No account or payment required.

In development · No payment available

Detailed improvement report

Planned: a decision-ready report with evidence-linked gaps, improvement hypotheses, options and trade-offs, and an action plan to validate results. Your raw data and basic findings stay free.

  • Evidence and data-quality gaps
  • Prioritized improvement hypotheses with trade-offs
  • Conservative scenarios with explicit assumptions
  • Action owners, trial measures and review checkpoints