Do I need a separate system for release toggles and experiments?

Not necessarily — but in practice, it’s usually better to separate them conceptually, and often technically, even if they share the same underlying flag platform.

Short answer

• Release toggles: for controlled rollout, safety, ops, kill switches.
• Experiments: for A/B testing, measurement, statistical consistency.
• They have different requirements, so mixing them in one undifferentiated system can create mistakes.

Why separate them?

Release toggles

Need:

• fast on/off control
• low latency
• operational safety
• simple targeting
• auditability

Examples:

• “Disable new checkout flow if errors spike”
• “Roll out to 5% of users, then 25%, then 100%”

Experiments

Need:

• stable assignment
• randomization
• consistent bucketing
• exposure tracking
• experiment lifecycle management
• analysis-friendly data

Examples:

• “Test button color variant A vs B”
• “Measure conversion impact”

Can one platform do both?

Yes, many teams use one feature-flag service for both, but with:

• different flag types
• different ownership
• different evaluation rules
• different naming conventions
• different expiration policies

For example:

• release.checkout_v2_enabled
• exp.homepage_cta_color_test

Risks of using one system without separation

• Experiment logic accidentally used as a kill switch
• Release flags left behind and never removed
• Confusing analytics because a “flag on” means different things
• Non-random targeting breaking experiment validity
• Operational toggles inheriting experiment complexity

Practical recommendation

Use:

1. One underlying flag infrastructure if you want simplicity.
2. Separate categories/processes for:
   • release toggles
   • experiments
   • permanent config flags
   • permissions/entitlements if relevant

That gives you shared tooling without mixing semantics.

Rule of thumb

If a flag is meant to answer:

• “Should this feature be active?” → release toggle
• “What is the causal impact of this variant?” → experiment

If you want, I can also suggest a taxonomy for flag types or a decision tree for when to use release toggles vs experiments.