Decision tools

Decision Confidence Check

Decision Confidence shows not only what is recommended, but how robust the recommendation is. Rate nine factors – from data quality to stakeholder agreement – and see which actions increase confidence the most.

1Data quality

How reliable is the data behind the recommendation?

2Objective clarity

Are the objectives unambiguous, measurable, and prioritized?

3Model and analysis quality

Does the analysis (simulation, business case) adequately reflect reality?

4Alternative coverage

Has the solution space been fully examined – including the null variant?

5Assumption robustness

Are the decision-critical assumptions validated or at least explicitly documented?

6Robustness to change

Does the recommendation hold if prices, demand, or timelines shift?

7Regulatory stability

How stable is the regulatory framework (subsidies, grid fees, permits)?

8Stakeholder agreement

Do the relevant stakeholders support the preferred option?

9Feasibility

Are budget, schedule, permits, and internal resources realistically secured?

Decision Confidence

0 of 9 rated

Rate all nine factors to obtain an overall assessment.

Data quality—
Objective clarity—
Model and analysis quality—
Alternative coverage—
Assumption robustness—
Robustness to change—
Regulatory stability—
Stakeholder agreement—
Feasibility—

Increase confidence deliberately

The strongest levers come from the factors rated the weakest:

Data quality: Use measured data instead of estimates, document provenance, confirm critical values with a second source.
Objective clarity: Fix the objectives in writing with the decision group and explicitly prioritize conflicts.
Model and analysis quality: Disclose model assumptions, run a plausibility review by an independent expert.
Alternative coverage: Add missing alternatives (null variant, non-technical paths, combinations) and evaluate them comparably.

The tool is free – only saving with a PDF report counts as an analysis. Only then is the result sent to your KAPAZIQ account (servers in Germany).

Decision Confidence does not eliminate uncertainty. It makes uncertainty transparent and manageable.

Data note: All input in this tool stays local in your browser (localStorage) and is not transmitted to any server. “Reset” deletes the stored input.

Suggested next steps

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Alternative Comparison

Weighted scoring with sensitivity analysis: which option leads – and how stable is the lead?

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