Track release intervals, evaluate cadence consistency, and visualize deployment rhythm for stronger planning and alignment. Spot delays early and improve shipping confidence each cycle.
Paste release dates or full date-times, one per line. The calculator sorts them automatically, measures each gap, compares it with your target cadence, and produces interval analytics for planning.
| Release | Date | Gap from Previous Release (Days) | Comment |
|---|---|---|---|
| R1 | 2026-01-03 | — | Starting point |
| R2 | 2026-01-17 | 14.00 | Matched a two-week release plan |
| R3 | 2026-01-31 | 14.00 | Strong cadence consistency |
| R4 | 2026-02-10 | 10.00 | Faster cycle than target |
| R5 | 2026-02-27 | 17.00 | Longer gap signals possible bottlenecks |
1. Interval between releases
Interval = Current Release Timestamp − Previous Release Timestamp
2. Average interval
Average Gap = Sum of All Release Gaps ÷ Number of Gaps
3. Median interval
Median = Middle gap after sorting all gaps
4. Standard deviation
Sample Standard Deviation = √[ Σ(x − mean)² ÷ (n − 1) ]
5. Stability score
Stability Score = 100 − ((Standard Deviation ÷ Average Gap) × 100)
6. Releases per 30 days
Monthly Release Rate = 30 ÷ Average Gap in Days
7. On-target rate
On-Target Rate = (Intervals within Target ± Tolerance ÷ Total Intervals) × 100
8. Projected next release
Next Release Estimate = Latest Release Date + Average Gap
It measures the time gap between consecutive releases. It also reports average cadence, median, spread, stability, release frequency, on-target performance, and a simple next-release estimate.
Using a longer history gives better insight into cadence quality. More releases improve average calculations, expose delays, and make the graph, stability score, and trend interpretation more reliable.
Yes. You can paste values like 2026-03-01 18:30. The timezone selector helps interpret those timestamps consistently when releases happen across different regions or deployment windows.
The stability score summarizes consistency. Higher values mean your release gaps stay closer to the average. Lower values suggest more variation, which may reflect blockers, uneven workload, or changing deployment practices.
The estimate adds the average interval to the latest release date. It is a planning aid, not a promise. Use it alongside roadmap changes, freeze periods, and team capacity.
On-target rate shows how often actual intervals stayed inside your target cadence range. The accepted range is target days plus or minus the tolerance percentage you choose.
The trend compares the latest interval with the one before it. A shorter latest gap suggests faster shipping, while a longer latest gap suggests slower delivery momentum.
Yes. The input timestamps stay the same, but the displayed interval values can be shown in days, weeks, or hours to match your reporting style or engineering review needs.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.