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Roblox Experiments results: decide without chasing green metrics

An experiment result supports a decision within the prewritten question. One favorable secondary measure does not override an inconclusive primary metric or harm to a guardrail.

MARPLA team · Published · 2 min read

Focused deep dive

The full topicHow to improve a Roblox game's first session and retentionStart with the essentialsRoblox first session: diagnosis planKnowledge sectionLaunch & promotion →
Concepts and tools in this topic 7
Original MARPLA conceptual illustration: Roblox Experiments results: decide without chasing green metrics
Original conceptual diagram. Not a product interface or measured results.

Reading order

Check integrity first: the test ran as planned, variants delivered, and no critical release or outage compromised it. Then read the primary metric, effect direction, MDE or uncertainty, and maturity. Next review D1, D7, playtime, ARPU, ARPPU, payer conversion, and session time as predeclared guardrails or explanatory measures.

Inspecting many measures creates an opportunity to select one random green result. Do not replace the primary metric after seeing data. D7 needs time, cumulative monetization can be sensitive to outliers, and an average hides the distribution.

OutcomeDecisionWording
Primary improves; guardrails safeConsider rolloutEffect supported under test conditions
Primary inconclusiveDo not declare a winnerTest did not distinguish a useful effect
Primary improves; guardrail worsensStop or study tradeoffImprovement carries a cost
Integrity brokenNo causal conclusionResult is invalid

Hypothetical example

A variant improves D1, session time falls, and D7 is not mature. The team does not roll out immediately. It checks whether session time was a guardrail and whether the decline represents product harm. If D1 was primary, the result supports early return but does not establish long-term value.

MARPLA can mark the date and describe aggregate background and acquisition source. Its overall chart does not replace randomized participant comparison in Creator Hub. Save hypothesis, configuration, window, result, limits, and next question.

  1. Verify integrity and the plan.
  2. Read the primary metric before secondary measures.
  3. Review guardrails and maturity.
  4. Do not redefine success after inspection.
  5. Record rollout, rerun, or rejection with its reason.

Primary sources

Put this into practice in MARPLA

MARPLA tool diagram: Compare your game with benchmarks

Locate early drop-off using retention and connected events. After changing onboarding, compare new cohorts to check whether more players reach their first meaningful action and return.

Open the tool →Select your connected game. Sign-in and access to its data are required.

Where this deep dive applies

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