Use Mixpanel Agent to Go From Question to Decision, Faster

Mixpanel Agent is an AI analyst built directly into Mixpanel. Ask it a question or give it a task and it interprets your intent, selects the right tools, and returns an answer without you specifying each step.

You use it in two ways. The first is conversational: ask it a question, describe what you want to see, and it responds in the moment. The second is through agents you configure: set one up once and it runs on your behalf — monitoring, explaining, interpreting — without you having to ask each time. You’ll find Mixpanel Agent in the side navigation for a full-page experience, or as a contextual panel you can open alongside any report or board.

This guide covers how to get the most out of each capability and how to migrate workflows you’re already running today. If you’re looking to query Mixpanel from an external AI tool like Claude or ChatGPT, see Use Mixpanel MCP instead.

Before you get started

Two project-level settings shape how all four capabilities behave.

Business Context

Business Context is a shared layer where your team defines what Mixpanel can’t infer from raw events: key metric definitions, fiscal calendar, launch history, team structure. Every AI surface reads it automatically.

Without it, AI answers are generic. With it, Mixpanel Agent knows your context — that “activation” means a user completed a key value moment, or that a drop on November 1 isn’t anomalous because it’s the day after a promo ended. For setup instructions, see the Business Context documentation.

Verified Mode

If your project has inconsistent event naming, duplicate metrics, or unverified events, the AI will work with what it finds — and two people asking the same question may get different answers. Verified Mode is how admins control that.

When it’s on, all AI features are restricted to verified data: events, metrics, behaviors, and cohorts your team has explicitly reviewed in Lexicon. Unverified data stays in your project; it’s just off-limits to AI. Users querying AI features will see a notice that results are limited to verified data — this is intentional, so they know it’s a setting, not a Mixpanel limitation.

This is primarily an enterprise concern. It’s most valuable when you’re rolling out AI access broadly — to PMs, engineers, and stakeholders who may not know the difference between checkout_complete and checkout_complete_v2.

The tradeoff: Verified Mode puts the burden of verification on admins. If your team ships events faster than they get verified, the agents will feel incomplete. Before enabling it, make sure your verification workflow can keep pace. If it can’t, the default experience, where AI prioritizes verified and high-usage data without being restricted to it, is probably the better call.

What you can do with Mixpanel Agent

Mixpanel Agent gives you four capabilities. They’re designed to work together, but each one stands on its own.

They map to four distinct moments in how you work with data: getting an answer, explaining a change, staying close to a metric, and running experiments with confidence.

The full loop in practice: A stakeholder asks for a view of onboarding performance after a recent flow change. Someone asks Mixpanel Agent to build it — it’s ready in minutes. The PM notices activation dropped 8% and triggers RCA, which traces it to a new onboarding variant. The team pauses the variant and uses the Experiments Agent to interpret the results and roll back. The PM then sets up the KPI Agent on activation rate to watch the recovery.

Ask Mixpanel Agent

Open Mixpanel Agent from anywhere and ask in plain language. A single prompt can run an analysis, build a report, create a cohort, or walk you through session replays without you specifying each step. The Agent automatically picks up your current page as context, so you don’t need to describe your setup first.

When to use it

• You need a quick answer without opening a report
• A stakeholder asked a question you don’t have a board for yet
• You want to explore an area quickly before deciding whether it’s worth deeper instrumentation

How to use it

A few things you can ask:

• Data questions: “Which acquisition channel has the best 30-day retention?” or “How did retention change after the onboarding update?”
• Build requests: “Build me a dashboard for our referral program — invites sent, signups from referrals, conversion rate, breakdown by channel.” The Agent generates a full multi-chart board. Treat it as a first draft and review the events before saving.
• Analysis: “Compare mobile vs. desktop checkout conversion” or “What’s the drop-off in our signup funnel?”

In practice

Marcus leads growth at a consumer app. His VP asks for a view of referral program performance — something that would normally take an hour to build. He asks Mixpanel Agent: “Show me referral program performance — invites sent, signups from referrals, conversion rate, and breakdown by referral channel.” A six-chart board comes back in under a minute. He fixes one event mapping and sends the link before end of day.

RCA Agent

When a metric moves, the RCA Agent tells you why. Trigger it from an Insights report, an alert, or directly through Mixpanel Agent, and it generates a board with contribution factor analysis, ranked dimensions, an AI interpretation, confidence levels, and suggested next steps.

This is reactive by design — it runs when you ask it to.

When to use it

• A chart moved and you want an explanation without 30 minutes of manual segment slicing
• An alert fired and you need to know whether it’s signal or noise before escalating
• You want a structured, shareable artifact, not just a hypothesis

How to use it

Trigger the RCA Agent from three entry points:

• From an Insights report: Trigger RCA directly when you see a metric shift. The Agent analyzes the visible change in context.
• From an alert: Launch RCA from the notification. Detection and diagnosis in one step.
• From Mixpanel Agent: Ask “why did this metric drop?” and the Agent routes it to RCA and returns a structured explanation.

What you get back

• Contribution factor analysis — which dimensions explain the most variance in the shift
• Ranked dimensions — segments or properties most likely driving the change, ordered by significance
• AI interpretation — a plain-language explanation of what the analysis shows
• Confidence levels — how strongly the data supports each finding
• Suggested next steps — where to look or what to test next

After reviewing an RCA board, you can rate its accuracy. That feedback improves future results for your project.

In practice

Priya is a PM at a SaaS company. Checkout completion dropped 9% week-over-week. She triggers RCA from the Insights report. Top contribution factor: users on iOS 17.4, 61% of the variance, starting Friday — the same day a payment SDK update shipped. She sends the board to engineering: “SDK-related, iOS 17.4, started Friday, confidence is high.” They’re investigating within the hour.

KPI Agent

The KPI Agent monitors a metric you care about and delivers a digest to you on a schedule you set. Instead of opening a dashboard to check whether something moved, it comes to you — with context, not just a number.

When to use it

• You own a KPI and need to stay informed without opening a dashboard every day
• You send a weekly metric update to stakeholders and want to stop building it manually
• You want a digest that reflects what matters to you, not just raw numbers

How to use it

1. Choose the metric you want to monitor
2. Set your cadence — daily, weekly, or monthly
3. Choose your delivery destination — Slack or email
4. Use “run now” to preview the digest before committing to a cadence

In practice

Lena owns weekly active users at a fintech company. Every Thursday she pulled the number manually, wrote context, and posted a Slack update. She sets up the KPI Agent on her WAU query with a Wednesday evening delivery. The Thursday update now takes 90 seconds instead of 20 minutes.

Experiments Agent

Running an experiment has always required statistical knowledge most PMs don’t have — choosing the right confidence level, understanding what a health check failure means, knowing whether a 4% lift is significant enough to ship.

The Experiments Agent works alongside you inside the experiments and feature flags pages. Ask it to help configure an experiment, explain results in plain language, or roll out a winner. It’s a conversation, not a form.

When to use it

• You’re setting up a new experiment and want to make sure it’s configured correctly before launch
• Your experiment has results and you need to know what they mean and what to do next
• You want to ship a winning variant without navigating the decision modal yourself

How to use it

Open Mixpanel Agent on any experiment or feature flag page.

Setting up an experiment: The Agent walks you through three questions — your hypothesis, your primary success metric, and how long it should run. Everything else (experiment name, variant split, confidence threshold, statistical defaults) the Agent handles. It presents the full configuration for your approval before creating anything.

Interpreting results: Ask the Agent to summarize your results and it reads the full experiment — your hypothesis, every metric, the statistical output — and returns a plain-language verdict: what happened, whether it’s significant, and a clear recommendation to ship, iterate, or kill.

Rolling out a winner: After the Agent gives you a results summary, tell it to ship the winner. It concludes the experiment and updates the feature flag. You don’t have to touch the decision modal.

In practice

Dev is an engineer at a fintech company. His team’s experiment on the savings goal flow has results — p-values, confidence intervals, a table of metrics — but nobody knows whether to ship the treatment or not.

He opens Mixpanel Agent on the results page and asks it to summarize. The Agent comes back: the treatment increased savings goal completion by 3.1%, both guardrail metrics passed, recommendation is to ship. It flags that session length trended down slightly and suggests a follow-up test.

The PM sends the summary to the VP instead of the raw stats table. The decision gets made in the same meeting.

Migrating your existing workflows

Mixpanel Agent doesn’t replace how you think about your data. It replaces the mechanical work between the question and the answer — and it makes some workflows practical that historically weren’t.

Those are direct replacements — workflows you’re already running that an agent handles better. But there’s a second category worth considering: things that weren’t practical before because the effort was too high relative to the value, so teams either skipped them or did them infrequently. Agents change that calculus.

On alerts: Before, an alert was the beginning of an investigation. Now pair every meaningful alert with RCA — when it fires, the investigation runs automatically and you get a confidence-weighted explanation before you’ve opened Mixpanel.

On questions that weren’t worth asking: A question like “what’s driving retention in our power user cohort by acquisition channel” used to be a 2-hour task. Most of those questions didn’t get answered because the people who could answer them were already underwater. That same question is now a 5-minute task.

On metric ownership: The mechanical parts of owning a KPI — the pull, the summary, the delivery — used to fall to whoever was accountable for the number. Now those are automated. What’s left is interpreting movement, deciding what to investigate, and choosing what to do next.

Key takeaways

• Configure Business Context before you do anything else — it’s what turns generic AI responses into answers that reflect how your team actually works.
• Verified Mode is the right call for teams with broad AI access and a mature verification workflow. If your verification can’t keep pace with instrumentation, the default experience is more reliable.
• Mixpanel Agent picks up your current page as context automatically — you don’t need to describe your setup before asking a question.
• Pair every meaningful alert with RCA. The alert tells you something moved; RCA tells you why, before you’ve had to open a single breakdown.
• Set up the KPI Agent once on the metric you’re accountable for and it delivers a digest on your schedule — daily, weekly, or monthly, via Slack or email.
• Use the Experiments Agent during setup, not just at results time — it can’t fix a misconfigured experiment after the fact.
• The biggest shift these capabilities make isn’t speed — it’s what becomes worth doing. Questions that weren’t practical before now take minutes.

Next steps: For access points, security, privacy details, and FAQs, see the Mixpanel Agent documentation.

Quick reference