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Amplitude

What Makes a Good vs Bad North Star Metric The Role of Feature Management in Successful Product Development Cohort Retention Analysis: Reduce Churn Using Customer Data 7 Steps to Measuring the Success of a Feature 14 Best Product Management Tools for 2026 (Plus Tips from Senior PMs) Putting A Number On AI Quality Meet the Winners of the 2026 Amplitude AI Impact Awards Beyond Last-Touch Attribution: Find Out Which Interactions Really Matter Agent Connectors Are Better Together Agents That Act on What Actually Happened How Square Used Amplitude to Enhance the Seller Experience and Power Growth Migrating Analytics Platforms Without The Chaos Wanted Lab Grows Sign-Ups by 150% & Builds Experimentation Culture How to Balance Inference Cost and User Experience for Agents Introducing Zoning Insights: Web Intelligence at a Glance Five best practices for getting started with AI agents 24 Quarters at #1. Here’s What’s Next. How We Built a Product That Tells Us What To Build Next: Inside Amplitude Wave Looking Beyond Campaign Metrics: 7 Marketing Success Stories AI Evals for Product Managers: A Beginner’s Guide to Getting Started The Builder Skills Library Introducing Agent Connectors in Amplitude Understand How AI Thinks, Get Better Results How We Redesigned Amplitude Docs for Agents and Made Everyone an Author AI Broke Your Experimentation Program. Here’s How to Fix It. Tracing the Sale: Connect Behavior to Conversions with Persisted Properties Building CLI Agents: It’s What You Don’t Give Them That Counts Three Tips for Better Prompts in Amplitude Global Agent How AI Took the Data Analyst’s Job, and Created a Better One Default Prompts Are Tanking Your Agent’s Retention Optimizing Core Web Vitals with Amplitude’s Global Agent Don’t Ask Global Agent Anything, Ask These Three Things How We Built a Design Agent at Amplitude with Claude Managed Agents and Cloudflare The Problem with Chasing Churn How Hostinger Achieved a 20%+ Conversion Lift Through Experimentation How STAGE Streams Smarter by Putting Data at the Center Building the Validation Stack for AI Product Development Making AI Analytics Safe for Financial Services Teams Amplitude Heatmaps Update: More Reliable Screenshots and Accurate Placement Most Teams Ship Agent Personalities by Accident. We Didn’t. What I Learned Pointing a Ralph Loop at My Product for a Week How Mercado Libre Scales Decision Making with AI Claude Cowork for PMs: 5 Playbooks to Get Started How ACKO Drove 13% More Conversions & 50% Drop in Calls with GenAI Agents Just Made Your Feature Launch Channel Smarter Homegrown FinOps Tools: How AI “Build” Beat “Buy” for Us in <1 Year Introducing The Amplitude Quickstart Series Rebuilding Session Replay’s Delivery Layer to Be Lighter on Your Page The Eval Signal That Predicts 3x Agent Retention Agents Write Code. Fixing It Is Still On You. Amplitude and Statsig Partnership 5 Agent Skills to Automate Your Weekly Product Review Amplitude Plug and Play: New AI Plugin in Claude and Cursor Marketplaces Introducing Amplitude Wizard CLI: Set Up Amplitude from Your Codebase Making AI Search Count (and Convert) How VEED Evolved Its AI Search Strategy What’s New with Amplitude Agents Effortless Support at Scale: Making Human Support More Human AI Week 2026: Upleveling All Together Amplitude AI Builders: Paul Hultgren Chats about AI Assistant Dashboard Dread to AI-Driven Decisions: How Tira Rebuilt Its Analytics Workflow Your Product Deserves a Better Support Agent How Cisco Systems Accelerated Adoption by 20% Through Data Innovation
Every Stuck User Is a Support Ticket Waiting to Happen
Belinda Chiu · 2026-06-01 · via Amplitude

As far as product issues go, a stuck user might seem harmless enough. But here on Amplitude’s Support Team, we know there’s usually more to the story.

Every time a user stalls, it sets off a chain of events that in the best of cases, results in a support ticket and in the worst, churn. Even more problematic: There are likely plenty of other users encountering the same problem.

That’s why I’m particularly enthusiastic about how we use Amplitude AI Assistant to deflect support tickets and reduce user churn. AI Assistant helps users as soon as they hit a snag, ensuring it never becomes something bigger and more damaging to your business. Unlike a chatbot, AI Assistant offers contextual, in-product support, guiding users through critical workflows. And because it logs these customer interactions, you can see patterns that might reveal deeper issues in your product.

Respond to user behavior in real time

Let’s explore how AI Assistant works in practice. As a hypothetical, let’s say one of your users is having trouble connecting to Slack. Looking for help, the user opens AI Assistant and asks how to connect to Slack.

It immediately provides a clear answer, using the tone, context, and fallbacks you’ve provided, so it sounds like your brand.

That’s a major win. It’s one less support ticket and one less user being stuck. And it was easy to set up behind the scenes.

But here’s where it gets really interesting. You can check to see if AI Assistant encountered other questions about Slack.

Identify patterns and take action

Opening up the AI Assistant chats page, you can see that there’s a clear pattern of users asking how to connect to Slack.

AI Assistant is helping these users, but you can go one step further. You create an Amplitude guide that walks users through the integration step by step.

Once you make this available to AI Assistant, it will automatically surface the guide whenever the question comes up.

Now, when someone asks about Slack, they’ll get an answer and help connecting to it. The user can click through the steps and complete the Slack integration, all without leaving the product or opening a support ticket.

What AI Assistant means for your team

AI Assistant resolves user questions before they become support tickets, and it shows you the patterns worth fixing for good. For your team, that means fewer interruptions and more time for the work that actually needs a human. For your users, it means a faster path to whatever they came in to do, and one less reason to stall out or churn. That’s good news for your customers, your product, and your bottom line.