Calculator
Example Data Table
| Period | Output | Hours | Focus Hours | Quality % | On-Time % |
|---|---|---|---|---|---|
| Week 1 | 42 | 38 | 24 | 92 | 88 |
| Week 2 | 47 | 40 | 26 | 91 | 90 |
| Week 3 | 45 | 37 | 25 | 94 | 89 |
| Week 4 | 53 | 41 | 29 | 95 | 93 |
| Week 5 | 56 | 42 | 31 | 96 | 94 |
Formula Used
1) Output Rate
Output Rate = Output ÷ Hours Worked
2) Focus Ratio
Focus Ratio = Focus Hours ÷ Hours Worked
3) Normalized Output Score
Normalized Output = (Period Output Rate ÷ Average Output Rate) × 100
4) Weighted Productivity Score
Productivity Score = ((Output Weight × Normalized Output) + (Focus Weight × Focus Ratio × 100) + (Quality Weight × Quality %) + (On-Time Weight × On-Time %)) ÷ Total Weight
5) Overall Growth
Growth % = ((Last Score − First Score) ÷ First Score) × 100
6) Trend Slope
Trend slope is calculated using simple linear regression across period scores.
7) Forecast
Forecast uses exponential smoothing with alpha between 0 and 1.
8) Consistency
Consistency = 100 − (Standard Deviation ÷ Average Score × 100)
How to Use This Calculator
- Enter a dataset name for your analysis.
- Paste one period per line using the required comma-separated format.
- Adjust weights to reflect your productivity priorities.
- Set the moving average window for smoother trend analysis.
- Choose a forecast alpha for future score estimation.
- Enter your target score to compare performance against goals.
- Click the calculate button to generate metrics and charts.
- Review the results table, graph, trend label, volatility, and forecast.
- Use the CSV and PDF buttons to export your findings.
FAQs
1. What does this calculator measure?
It measures productivity change across periods using output, focus time, quality, and on-time performance. It converts them into one weighted score for easier comparison.
2. Why use weighted scoring?
Weighted scoring lets you decide what matters most. Some teams prioritize completed work, while others value quality, schedule reliability, or focused work time more heavily.
3. What is a good productivity score?
A good score depends on your chosen weights and historical data. The most useful benchmark is your own trend, target score, and consistency across periods.
4. What does volatility show?
Volatility shows how much scores move up and down. Lower volatility often suggests stable routines, while higher volatility can signal uneven workflows or changing workloads.
5. Why include focus hours?
Focus hours help separate busy time from effective time. A team may work long hours but still perform poorly if concentrated effort stays low.
6. How does the forecast work?
The forecast uses exponential smoothing. Recent periods influence the next estimate more strongly, especially when you choose a higher alpha value.
7. Can I use daily, weekly, or monthly data?
Yes. Any period label works if your dataset stays consistent. Use all days, all weeks, or all months for clearer comparisons.
8. When should I export CSV or PDF?
Export when sharing performance reviews, documenting team trends, or comparing past cycles. CSV suits spreadsheet analysis, while PDF works better for reports.