One of the most common weaknesses I encounter in assessments is surprisingly simple. Evidence and interpretation become mixed together. At first glance, this may seem harmless. In practice, it makes assessments harder to challenge, harder to validate, and ultimately less trustworthy.
The Problem
Consider the statement:
Test automation is insufficient.
Is this evidence? Or is it a conclusion? Most people instinctively treat it as an observation. In reality, it is an interpretation. The statement already contains a judgment. It implies a comparison against some expectation, objective, or benchmark.
The natural response is:
Insufficient according to whom?
Compared to what?
Based on what evidence?
Without answers to those questions, the statement remains an opinion rather than an assessment finding.
Separating the Layers
A stronger assessment makes each step of the reasoning explicit.
Evidence
- 12% of regression tests are automated.
- Automation execution requires manual preparation.
- Critical business flows are excluded from automation coverage.
Interpretation
- The automation capability provides limited support for regression testing.
Conclusion
- Release cycles remain highly dependent on manual testing effort.
Recommendation
- Increase automation coverage of critical business flows.
Each layer serves a different purpose. And more importantly, each layer can be challenged independently.
Why This Matters
When evidence and interpretation are merged, disagreements become difficult to resolve. A stakeholder may reject a finding without being able to explain why. The assessor may defend a conclusion without clearly identifying the supporting evidence. The discussion becomes subjective.
When evidence and interpretation are separated, the conversation becomes more productive. A stakeholder can challenge:
- the evidence,
- the interpretation,
- the conclusion,
- or the recommendation.
Each disagreement becomes explicit. Each assumption becomes visible.
Traceability of Reasoning
One useful way to think about assessment is as a chain of reasoning.
Evidence leads to interpretation. Interpretation leads to conclusions. Conclusions lead to recommendations. A robust assessment makes this chain traceable.
If a recommendation is challenged, it should be possible to walk backwards through the reasoning and understand how it was derived. Likewise, if new evidence emerges, its impact on conclusions should be clear. The reasoning should be visible, not hidden.
Beyond Expert Opinion
Many assessments rely heavily on expert judgment. There is nothing inherently wrong with expertise. However, expertise becomes significantly more valuable when the reasoning behind it is transparent.
A strong assessment does not merely say:
Trust me.
It says:
Here is the evidence, here is how I interpreted it, here is the conclusion that follows.
The assessor’s role is not to replace reasoning. It is to make reasoning explicit.
A Working Hypothesis
This leads me to a simple hypothesis:
Effective assessments require explicit separation of evidence and interpretation, with clear traceability between them.
The quality of an assessment is not determined solely by the quality of its conclusions. It is determined by the visibility of the reasoning that produced them. After all, an assessment is more than a collection of opinions. It is an argument supported by evidence.
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