# Compare content formats using your own account history Choose the production decision and metric first, then group comparable posts from your own history. Keep topic, publication age, distribution and sample size visible. The result describes that selected history rather than establishing a universal best format. Production decision: Account and historical window: Chosen metric and definition: Format groups and inclusion rule: Observation age or window rule: Topic and offer differences: Paid distribution exclusions or labels: Number of posts per group: Underlying values and source references: Summary measure chosen before comparison: Extreme values and missing records: Production effort per format: Conclusion and uncertainty: Next controlled or repeated comparison: ## Define a fairer group "Dimension","Choose","Record" "Format","Actual comparable asset types","What is included and excluded" "Metric","One defined measure for the decision","Its source and denominator" "Window","Comparable observation age or reporting scope","Extraction and publication dates" "Distribution","Organic, paid or labelled mixed records","Changes and differences" "Effort","The work needed to produce the format","Relevant production hours or constraints" ## Fictional summary example "Observed values","Mean","Median","Interpretation" "100, 100, 1000","400","100","One large value changes the mean substantially" "300, 400, 500","400","400","The same mean can describe a different distribution" ## Carry context into the decision The fictional values illustrate summary arithmetic, not a platform benchmark. The median is the middle sorted observation; the mean is the sum divided by the number of observations. Keep the underlying values available so neither summary hides the sample. A format producing a useful result at much higher production effort may answer a different operational question from the best result per asset. Record the decision you are making and follow up with a suitable comparison rather than declaring a permanent winner.