> ## Documentation Index > Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt > Use this file to discover all available pages before exploring further. # Feature Flag Rollout Status, PostHog > Feature Flag Rollout Status for PostHog stores. Tracked live in Vortex IQ Nerve Centre. How to read it, why it matters, and how to act on it. **Card class:** [Hero](/nerve-centre/overview#card-classes-explained) • **Category:** [Analytics](/nerve-centre/connectors#connectors-by-type) ## At a glance > **Feature Flag Rollout Status** is a feature-flags table tracked from PostHog data. It lists each active flag with its current rollout percentage, so you can see at a glance which flags are at 100%, which are mid-rollout, and which are stuck partway. This is a PostHog-distinctive view: it turns the flag estate into a board you can govern, catching flags that were meant to ramp gradually but quietly sit at a fixed percentage forever. | | | | --------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **What it counts** | Each active feature flag and its current rollout percentage. | | **Sample type** | Backend API data from PostHog feature-flag definitions, refreshed on the standard data refresh. | | **Why it matters** | Flags stuck mid-rollout, or fully on when they should be gradual, change who sees what on your storefront. This table makes the whole rollout posture visible in one place. | | **Reading the value** | Scan for flags far from 0% or 100%. A flag parked at, say, 50% for weeks usually means a rollout was forgotten. | | **Currency** | percent | | **Time window** | `RT` | | **Alert trigger** | `-` | | **Sentiment key** | `ph_feature_flag_rollout` | | **Roles** | owner, marketing | ## Calculation Calculated automatically from your PostHog data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading. ## Worked example *A representative reading of **Feature Flag Rollout Status** for a typical merchant on PostHog.* Suppose the table shows `new-checkout` at 25%, `pdp-redesign` at 100%, and `free-shipping-banner` at 10%. The `new-checkout` flag was meant to ramp to 100% over two weeks but has sat at 25% since 04 Apr 26, which means three quarters of shoppers never saw the new flow. The table surfaces that stall instantly. Cross-reference Stale Feature Flags to find the ones at 100% that can now be retired. For deeper investigation, use Vortex Mind to trace upstream causes; for natural-language exploration, ask Ask Viq. ## Sibling cards merchants should reference together | Card | Why merchants reach for it | | ----------------------------------------------------------------------------------------------- | -------------------------------------------------- | | [`ph_active_feature_flags`](/nerve-centre/kpi-cards/posthog/active-feature-flags) | Feature Flags sibling: how many flags are live. | | [`ph_stale_feature_flags`](/nerve-centre/kpi-cards/posthog/stale-feature-flags-90d-100-rollout) | Feature Flags sibling: flags ready to retire. | | [`ph_funnel_conversion`](/nerve-centre/kpi-cards/posthog/primary-funnel-conversion) | Funnels sibling: did a rollout move conversion. | | [`ph_dau`](/nerve-centre/kpi-cards/posthog/daily-active-users) | Executive sibling: the audience a rollout reaches. | | [`ph_health_score`](/nerve-centre/kpi-cards/posthog/posthog-tracking-health-score) | Executive sibling: overall tracking health. | ## Reconciling against the vendor's own dashboard **Where to look in PostHog's own dashboard:** Open the Feature Flags list in PostHog. Each flag shows its release condition and rollout percentage. The percentages there should match this table. Note that a flag can target by percentage of users or by property cohort, and a cohort-targeted flag shows differently from a simple percentage rollout. **Why the Vortex IQ value may legitimately differ:** | Reason | Direction | What to do | | -------------------------------------------------------------------------------------------------- | --------- | ----------------------------------------- | | **Cohort targeting.** A flag released to a cohort, not a percentage, has no single rollout number. | Variable | Inspect the release condition in PostHog. | | **Multivariate flags.** Flags with multiple variants split the percentage across variants. | Variable | Check the variant distribution. | | **Recent edit.** A rollout changed minutes ago may not have refreshed. | Marginal | Force a manual refresh. | **Cross-connector reconciliation:** complement with sibling cards in the same category for the full diagnostic picture. For divergence investigations, use Vortex Mind. ## Known limitations / merchant FAQs **Q: How often does Feature Flag Rollout Status update?** The card refreshes on the standard data refresh (typically every 30-60 minutes for live integrations). For real-time signals, force a manual refresh from the dashboard. **Q: A flag shows 100% but only some users see the feature. Why?** The flag may also carry a property or cohort condition on top of the percentage, so 100% applies only within the targeted segment. Check the full release condition in PostHog. **Q: What does a flag stuck at a partial percentage mean?** Usually a forgotten rollout. The team ramped to a partial percentage during testing and never completed or reverted it, leaving a fraction of users on the variant indefinitely. **Q: Can I customise the alert threshold?** Yes, sensitivity thresholds are configurable per profile in the Sensitivity tab. Adjust to match your business baseline rather than relying on the generic default. *** ### Tracked live in Vortex IQ Nerve Centre *Feature Flag Rollout Status* is one of hundreds of KPI pulses Vortex IQ tracks across PostHog and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English. [Start for free](https://app.vortexiq.ai/login) or [book a demo](https://www.vortexiq.ai/contact-us) to see this metric running on your own data.