Cloudability Optimization Dashboard releases COIN Explorer (Public Preview): computing COIN Score with a CONFIDENCE SCORE

Confidence Score is critical because a COIN score alone can be misleading if the underlying data is incomplete or noisy. The Confidence Score shows how much users can trust the COIN result by reflecting factors such as spend coverage and whether declined or excluded recommendations were properly accounted for. In the FinOps assessment web app that I built (https://finopsassessment.ca/), I implemented this as a simple reliability layer on top of the COIN score: Confidence = Coverage factor × Declined/Excluded factor, so users can immediately see not only the optimization signal, but also how trustworthy that signal is. This helps FinOps teams make better decisions and present more credible insights to leadership. Here is an example of how I built this: Confidence = Coverage Multiplier × Declined/Excluded Multiplier

1) Coverage Multiplier: This reflects how much of total cloud cost was actually analyzed.

< 25% → 0.40

25–50% → 0.70

50–75% → 0.90

> 75% → 1.00

2) Declined/Excluded Multiplier (are declined or excluded recommendations included in the savings opportunity?): This reflects whether the savings opportunity was cleaned up or still contains recommendations that are not really actionable.

Yes, included → 0.75

Partially excluded → 0.90

No, fully excluded → 1.00

Example, If Coverage = 50–75% → 0.90 and Declined recommendations = Partially excluded → 0.90

Then: Confidence = 0.90 × 0.90 = 0.81 So the confidence score = 81%