04 / LEARN FROM EVIDENCE
A creative winner needs evidence. Not a confident guess.
Critiqa supports structured Experiments that separate the creative hypothesis from what happened after publishing. Make a clear decision about the variable you change, the metric you watch and what evidence would be enough.
The short answer / 01
How do you run a controlled creative test?
A controlled creative test compares a defined variant against a control while holding major conditions constant where possible. Specify the hypothesis, primary metric, test duration or review condition and minimum evidence before results arrive. Do not infer causation from a small or uncontrolled difference.
An example / 02
One video. One hook change.
A fictional coffee-cup video has the same product demonstration in both versions. We are deciding what to measure, not reporting that one version won.
Hypothetical test design — no real performance results or claimed winner
01Control
Open with a direct product close-up and factual product introduction.
02Challenger
Open with the product being used during a commute; keep the rest of the video and offer unchanged.
03One variable
Opening visual treatment. Hold platform, audience selection, duration, destination and major distribution settings as similar as possible.
04Primary measure
Select a commercially relevant tracked action or comprehension metric before launch. Use impressions and video watch measures as supporting diagnostics where appropriate.
05Decision rule
Collect enough comparable exposure and verify tracking quality. Record the result as directional if uncertainty is too high.
In practice / 03
From input to a better decision.
Write a falsifiable hypothesis
State why a specific creative change could affect the chosen measure. Set the control and one main changed variable.
Lock the decision criteria
Document the metric, minimum evidence, success or stop conditions and context before data arrives.
Review actual results
Use verified platform or experiment evidence, note uncertainty, and preserve the learning and creative lineage for the next iteration.
Useful distinctions / 04
What it can and cannot tell you.
Experiment and performance features depend on the active workspace, connected platform data and plan.
Does Critiqa automatically declare a winner?
Its testing workflows support evidence-aware decisions. When the sample is insufficient, the correct answer may be that more data is required, rather than declaring a winner.
What does one variable mean?
For a controlled challenger, define one major creative change and aim to hold the other relevant factors stable. Real campaigns can still have confounders.
Can scores replace A/B test results?
No. A pre-publish review is a hypothesis source; observed account or experiment performance is needed to support claims about outcomes.
Limits and evidence
- A/B comparison requires representative exposure, reliable tracking and adequate evidence.
- Platform delivery and audience differences can confound comparisons.
- Do not freeze success criteria after looking at results and then claim the test was predefined.