Introduction to Confidence Threshold App
- Categories AI
- Date March 5, 2026
Introduction to the Confidence Threshold App
In monitoring and evaluation (M&E), decisions are rarely made with perfect information. Evaluators must often determine whether the available data provides enough certainty to support a conclusion or recommendation. The Confidence Threshold App is an interactive tool designed to help practitioners determine the appropriate confidence score threshold based on the level of risk associated with a decision.
By aligning the required level of confidence with the stakes of a decision, the app supports more transparent, consistent, and defensible evaluation practices. Whether you are conducting a programme review, assessing humanitarian funding, or collecting formative feedback, the tool helps clarify how much certainty is needed before drawing conclusions.
Why Confidence Thresholds Matter
Different evaluation tasks require different levels of certainty. For example, a decision that affects national funding allocations should require much stronger evidence than a workshop feedback survey. Setting the right confidence threshold helps balance two important considerations:
- Decision risk – the consequences of being wrong.
- Evidence quality – how reliable the available data is.
- Accountability – ensuring decisions are transparent and defensible.
- Efficiency – avoiding unnecessary analysis when the stakes are low.
How the Confidence Threshold App Works
The tool provides an interactive interface where users can select typical monitoring and evaluation scenarios or manually adjust the risk level of a decision. Based on the selected context, the app suggests a recommended confidence threshold.
Users can explore scenarios such as:
- Humanitarian funding allocation decisions
- Programme certification audits
- Annual performance reviews
- Mid-term programme evaluations
- Internal learning or formative feedback exercises
The app then calculates a recommended confidence level — typically ranging between 60% and 95% — depending on the risk and consequences of the decision.
Typical Threshold Guidance
The tool is based on a simple risk-based framework commonly used in evaluation and evidence assessment:
- High-stakes decisions: ≥ 90% confidence
- Medium-stakes decisions: 75–89% confidence
- Low-stakes decisions: 60–74% confidence
These thresholds provide practical guidance for balancing statistical confidence, qualitative evidence, and evaluation judgement.
Supporting Better Evaluation Decisions
By explicitly linking evidence confidence with decision risk, the Confidence Threshold App helps evaluation professionals:
- Standardize evidence interpretation
- Improve transparency in evaluation reporting
- Strengthen methodological justification
- Facilitate discussions with stakeholders and decision makers
The tool is particularly useful for monitoring and evaluation specialists, research teams, development organizations, and policy analysts working in complex decision environments.
Explore the Full Confidence Threshold Guide
To learn more about how to apply confidence thresholds in monitoring and evaluation, visit our complete guide explaining the methodology, examples, and practical tips.
Read the Full GuideThe courses and articles are developed by a team of experienced evaluators, collaborators, authors, and software developers, guided by Fation Luli. EvalCommunity Academy combines practical expertise in Monitoring & Evaluation and International Development with the latest advances in AI to create high-quality, accessible, and practical learning experiences for professionals worldwide.
