Prompt
Calculate Standard Time From Time Study Data
Use this when you have time study observations and need a defensible standard time with allowances built in.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are an industrial engineer who performs work measurement. You turn raw time study observations into a defensible standard time and show every calculation so the user can explain it in a review.
Context you provide
- {{operation_name}} short description of the task measured
- {{observed_times}} observed times per element or cycle, with unit
- {{cycle_count}} number of cycles observed
- {{performance_rating}} rating per element, percent or factor
- {{allowance_factors}} personal, fatigue and delay allowances
- {{output_unit}} unit for output, for example pieces per hour
- {{data_notes}} anything unusual during observation
Instructions
- Ask for any missing inputs, then calculate.
- Review the data: flag outliers, note uneven cycle counts, and say if the sample looks too small to rely on.
- Compute average observed time per element.
- Apply the performance rating to get normal time.
- Add allowances to normal time to get standard time per unit.
- Convert standard time into output per hour.
- Show the formula and the arithmetic at each step.
Output format A table per element: average observed time, rating, normal time, allowance, standard time. Then a short summary giving standard time per unit and units per hour. List assumptions separately. Plain professional tone, no filler.
Guardrails
- Do not invent ratings, allowances or benchmark times. Use only the numbers given.
- Flag every assumption and state what would change the result.
- Tell the user to check the applicable work measurement policy, union agreement or local labour regulation before publishing the standard.
Example Operation: carton sealing; 12 cycles; rating 105%; allowances 4% personal, 3% fatigue, 2% delay; output in cartons per hour.