Firstflow: The Experience Layer for AI Agent Products
Agents are live. Onboarding isn't. Here's why the experience layer around your agent matters, and what Firstflow does about it.
Read moreInsights and lessons from building Firstflow.
Agents are live. Onboarding isn't. Here's why the experience layer around your agent matters, and what Firstflow does about it.
Read moreTeams polish the model and infra, then wonder why week-one retention lags. Use this pre-launch checklist and first-30-days playbook so activation ships with the product, not after it.
Most chatbot products plateau after early adopters taper off. Here's why chatbot engagement differs from app engagement, and six interventions that move session quality and return rates.
Signups measure interest; adoption measures whether your AI product is part of how people actually work. Here's what drives real adoption in 2026, and what teams keep trying that doesn't.
Most of your long-term retention is decided in week one. Here's what drives first-week churn in agent products specifically, and the fixes high-retention teams use.
Users try your agent once and leave, often because the experience never guides them to value fast enough. Here are the onboarding practices high-retention teams use in 2026.
Higher stakes, stricter regulation, and sensitive data mean healthcare and professional services need structured intake, careful feedback, and clear escalation. Here's how teams use Firstflow.
Internal copilots are scaling fast. Teams still hit the same walls: unclear capabilities, uneven adoption, weak feedback, and no signal on real utility. Here's how they use Firstflow.
Support agents handle the easy cases well. It's the middle tier that breaks down. Here's how support teams use Firstflow for CSAT, issue reporting, and structured troubleshooting.
Sales is one of the highest-stakes use cases for AI agents. Here's how teams use Firstflow for conversational qualification, human handoffs with context, and follow-up that converts.
Qualification belongs inside the conversation, not in a form before it. Here's how to design flows that collect structured data without breaking the experience.
Your users aren't browsing a UI. They're in a conversation. Here's how to announce new features where they'll actually see them.
Route feedback, issues, and onboarding signals from your agent product into Slack, in real time, with full context.
When you rate every session, you get a direct quality signal attached to every conversation. Here's what that dataset actually reveals about your product.
Per-response feedback tells you which answers landed. Retention tells you who came back. Session rating sits between both, and it's more useful than either.
The best survey question, asked at the wrong moment, gets ignored. Here's how to think about timing in a chat interface, and when to ask what.
A survey dropped into a conversation is still a survey. Here's what separates surveys users answer from surveys they ignore.
Email surveys get 33% response rates. Popups get under 10%. In-chat surveys consistently hit 60–80%+. Here's why, and what it means for agent products.
The first version of your onboarding flow is a hypothesis. Analytics tell you where you're wrong, and how to fix it iteration by iteration.
Retention curves for AI agent products look different from every other type of software. Here's how to read yours correctly and where the levers are.
Most agent teams track SaaS metrics that don't explain why users churn. Here's the agent-native metrics stack that connects feedback to improvement.
Traditional onboarding tools assume a fixed UI. Agent products are a conversation. Here's what to look for instead.
AI agents are replacing dashboards, forms, and menus with conversation. Here's what teams need to design for direction, progression, and signal.
Most AI agent products don't have a model problem; they have a week-one experience problem. Here's what causes churn and how to fix it.
The agent isn't the problem. The experience layer is. Why “ask me anything” isn’t onboarding and what actually works.
Three waves of agent onboarding, where each approach breaks down, and what the next generation looks like.