Build a weekly social media experiment log
Write the decision, variation and comparison rule before publishing. Record the exact assets and consistent observation windows. Use the log to understand what changed; a small uncontrolled comparison is a clue for the next test, not proof of a universal best practice.
Your working document
Complete the record
| Log entry | Fictional example | Interpretation |
|---|---|---|
| Question | Does a close-up opening help viewers understand the product? | One production decision |
| Variation | Close-up first versus packaging first | Keep the later explanation comparable |
| Measure | Completion under one consistent platform definition | Use the same observation window |
| Conditions | Different topics and audiences may still affect results | Record differences instead of concealing them |
| Next step | Repeat with another suitable product explanation | Check whether the finding holds |
Check before sharing
- Change one main feature when the question allows it.
- Record both the numerator and denominator for ratios.
- Avoid choosing the winning metric after seeing the results.
- State when the evidence is too sparse or inconsistent for a decision.
Use the worksheet in practice
A post with eight saves from 200 reached accounts has a 4% saves-per-reach ratio; another with twelve saves from 600 has 2%. The second has more saves in total. Which matters depends on the decision and consistent metric definitions, not whichever number looks better.
An experiment log preserves the context for a follow-up. It should include changed offers, paid distribution, unusual events and delayed publication when those affect the comparison. Do not remove an inconvenient result from the record.