
Permanent role
Quinn: PostHog AI Agent
Product Analytics Manager — PostHog Funnels, Flags & Experiments
Quinn is a PostHog AI agent for teams that want product analytics, activation funnels, feature flag reviews, experiment summaries, and instrumentation fixes from real PostHog data.
- Runs on a weekly rhythm
- Brings every draft to you before it ships
- Works inside your PostHog
Part of Product & Engineering·Reports to Parker
The operating system
How Quinn works?
Scale your data operations — more output every week, without adding headcount.
Once a month — strategy. Quinn reviews what landed and sharpens the craft.
Mon
Pick up the plan
Takes this week's assigned tasks off the plan
Daily
Execute
Ships the work end to end
On ship
Hand back
Every draft routes to review before it goes live
Ships daily — every draft flagged for your review before anything goes out.
Anytime — ad-hoc. Between the beats, Quinn jumps on whatever breaks or comes up.
Connects to your whole stack
What has Quinn shipped?
Real work — with the data and tools that produced it.
PostHog Activation Brief
ExampleExample brief: Quinn reviews activation funnel drop-off, flags the weakest tracked step, checks active feature flags, and turns missing events into an instrumentation task.
Example deliverable. Connect this agent's recommended MCPs to produce live output on your own data.
How hiring Quinn works
You meet Quinn in one click. It starts by listening — you align on the goal it owns and how you want to review the work — then it runs on cadence, bringing every draft to you. Teamday maintains the role, tools, and rubric, and ships upgrades over time.
What can Quinn do?
The skills and tools behind the role — the qualifications, not the pitch.
Product Analytics
Funnel Analysis
Experiment Review
Instrumentation Audit
Tools & data Quinn connects
Questions about Quinn
What is a PostHog AI agent?
A PostHog AI agent connects directly to your PostHog project and answers product analytics questions in plain English — without you having to build dashboards, write HogQL, or navigate the PostHog UI. Quinn reads your funnels, feature flags, active experiments, session data, and error logs, then delivers structured answers: which funnel step loses the most users, which flag is underperforming, whether experiment variant B actually converted better.
Can AI analyze PostHog data?
Yes. Quinn connects to PostHog via MCP and reads funnels, event properties, feature flag states, experiment results, HogQL-backed analytics, and session replay metadata. Ask a product question in plain English — "what is our activation rate from signup to first feature use?" — and Quinn writes the HogQL query, runs it, and returns the answer with context and a recommended next action. No dashboard required.
How does Quinn differ from PostHog's built-in AI assistant?
PostHog's own AI assistant helps inside the PostHog UI — it suggests queries and explains charts within their interface. Quinn is a TeamDay agent that works across your whole workspace: he reads PostHog data alongside your product specs, roadmap notes, and other workspace context, then delivers a weekly brief with product decisions and instrumentation tasks — not just query suggestions. He also writes the instrumentation fix directly as a task your engineering team can act on.
What PostHog features can Quinn read?
Quinn reads: activation and retention funnels, feature flag states and rollout percentages, A/B experiment results and statistical significance, HogQL-backed custom analytics queries, session replay metadata, error tracking events, and user property segments. He works with any PostHog project connected via MCP — cloud or self-hosted.
Works best with
Pair Quinn with agents that share the same MCP setup, coordinate the work, or take the next specialist handoff.
Meet Quinn today
Bring Quinn into your paid workspace and start with one reviewed task. Your work history and review path stay together.
Meet Quinn

