posthog-core-workflow-b

PostHog Core Workflow B

Overview

Secondary workflow for PostHog. Complements the event capture workflow by focusing on feature flag management, A/B experiment evaluation, and cohort analysis. Use this skill when you need to roll out a feature to a percentage of users, evaluate whether an A/B test reached statistical significance, or build a cohort of users who performed a specific sequence of actions for targeted communication.

Prerequisites

• Completed posthog-install-auth setup
• Familiarity with posthog-core-workflow-a
• Valid API credentials configured

Instructions

Step 1: Setup

Define the feature flag or experiment configuration you want to work with. For feature flags, set the rollout percentage, target cohort filters, and any override rules for internal testing. For experiments, identify the control and variant conditions, select the primary metric to optimize, and calculate the minimum detectable effect size to determine how long the test needs to run before making a decision.

// Step 1 implementation

Step 2: Process

Use the PostHog API to evaluate feature flag states for users or retrieve experiment results. For flag evaluation, call the decide endpoint with the user's distinct ID and inspect which flags are active. For experiment analysis, query the funnel or trend data for each variant, calculate conversion rates, and apply significance testing to determine if the observed difference is statistically reliable.

// Step 2 implementation

Step 3: Complete

Document the experiment outcome: record the winning variant, the lift observed on the primary metric, and the confidence level. If a winner is declared, update the feature flag to fully roll out the winning variant and archive the experiment. For cohort analysis, export the cohort member list for use in targeted email or in-app messaging campaigns.

// Step 3 implementation

Output

• Completed Core Workflow B execution
• Feature flag evaluation results or A/B experiment significance report
• Cohort export or experiment conclusion with recommended action
• Success confirmation or error details

Error Handling

Aspect	Workflow A	Workflow B
Use Case	Primary	Secondary
Complexity	Medium	Lower
Performance	Standard	Optimized

Examples

Complete Workflow

// Complete workflow example

Error Recovery

// Error handling code

Resources

• PostHog Documentation
• PostHog API Reference

Next Steps

For common errors, see posthog-common-errors.