Decision framing and measurement

Review questions

From a decision to interpretable evidence

Begin with the decision, alternatives and authorized decision maker. Turn the request into a question with a clear population, period, observational unit and comparison. A larger total need not imply a higher rate, and a change following an action does not establish causation. When denominator data or causal evidence are unavailable, narrow the conclusion and identify the information still needed.

Specify the metric before calculating: numerator, denominator, eligibility, timing, unit and exclusions. For an overall rate, combine numerators and denominators rather than assigning equal weight to unequal groups without justification. Differences between percentages use percentage points; relative change divides the difference by the starting value. A zero baseline cannot serve as a divisor. Correcting eligibility is not operational improvement.

Ask what a row represents before summing columns or deleting duplicates. An order, its line and its payment movement have different grains. Use the appropriate key, distinguish point-in-time balances from flows over a period, and align aggregation levels before comparing targets with actuals. Summing distinct monetary amounts does not identify distinct transactions; legitimate transactions may have equal values.

Link each possible explanation to an expected pattern and a check that could weaken it. Review data quality and reconciliation before interpretation, and label patterns discovered afterward as exploratory. Test sensitivity to unknown outcomes; the known-case rate need not equal the overall rate. Conclude with observations, unresolved questions and a next step that can reduce uncertainty, preserving the conditions required to reproduce the calculation.

Review questions

Test your understanding with these questions. Marking and saved results are available with a free account.

  1. Question 1In a fictional example, sales rose after a campaign, with no comparison group. Which conclusion is supported?
  2. Question 2In a fictional case, 8 of 10 transactions succeeded in one branch and 18 of 30 in another. What is the rate across all transactions?
  3. Question 3A fictional table has one row per order line, with several lines per order. Line numbers are unique only within an order. Which key is appropriate?
  4. Question 4Fictional case: of 100 cases, 70 succeeded, 20 failed and ten are unknown. What is the arithmetic upper bound on success?