Productbet indexes every page, captures behavior patterns, and connects signals from support, sales, and feedback. Product decisions based on evidence, not opinions.
What are the biggest friction points in our onboarding?
Your onboarding flow has significant friction. The /onboarding/steps page shows 42% drop-off with 284 related signals across Intercom and Slack. Users consistently report the setup wizard is too long.
Suggested bets
Simplify onboarding to 3 steps
Reduce the 7-step wizard to 3 core steps to address the 42% drop-off.
Connect your tools once. Productbet handles the rest, from capturing behavior to discovering what to build to measuring whether your bets paid off.
Connect your support, sales, and feedback tools. Productbet auto-indexes every page and captures real behavior patterns. Everything flows into one product brain automatically.
User can't find the export button in dashboard
Feature Request#support: CSV import failing for enterprise accounts
Bug ReportOnboarding drop-off increased +12% this week
AnalyticsEnterprise requests SSO and workflow API access
Feature RequestLost deal: missing team permissions and SSO
Churn RiskProductbet analyzes your product index, behavior patterns, and signals together. It finds friction, connects patterns across sources, and discovers what to build next. Dig into what matters most to you, or run it on autopilot with scheduled automations.
Where are users dropping off?
Your biggest drop-off is on /onboarding/steps with a 42% drop-off rate and 284 related feedback signals. Users consistently report the wizard has too many steps.
The /settings/permissions page also shows elevated friction with 18% error rates post-deploy.
Suggested bets
Simplify onboarding to 3 steps
Reduce the 7-step wizard to 3 core steps to address the 42% drop-off and 284 feedback signals.
When discovery surfaces something worth acting on, it becomes a bet. All the context travels with it, the signals, the patterns, the evidence.
Hypothesis
If we reduce onboarding to 3 steps, completion rate will increase from 34% to 45%.
Linked Evidence
Discovery reasoning
Users consistently abandon onboarding at the workspace setup step. 284 support signals and rage click patterns confirm confusion.
Bets sync directly to Linear, GitHub, and Jira. Hand it to an AI coding agent and it has the deep context it needs to build the right thing. Your team works where they already work.
Onboarding simplification
Project synced · 3 issues created
PR #142 opened
feat/onboarding-simplify
PROD-847 created
Epic linked to bet
Productbet captures a baseline before you ship. After launch, it tracks whether things actually got better. You see the full before and after.
Confidence: High · Baseline captured pre-ship, snapshot auto-updated daily.
A lightweight SDK captures real user behavior. Productbet builds a living map of your product. Every page, every friction point, every session.
Every page in your product, auto-indexed. See navigation structure, behavioral health, friction indicators, and AI summaries, without writing a single analytics event.
Watch what users actually do. Every session captured with clicks, navigation, form interactions, errors, and rage clicks. All tied back to your signals and product index.
What changes
Three fundamentally different things change in your company. Each one compounds the next.
Growth
Your customers are already telling you what they need. Those signals are scattered across support, usage data, feedback, and sales. When surfaced and connected, they reveal the improvements that attract new customers and increase retention.
Leverage
AI agents can write production code. What they can't do is decide what to build. Productbet gives every agent, and every engineer, the full picture: the problem, the evidence, the user intent, and how success will be measured. Better context in, better product out.
Clarity
As companies scale, signals, feedback, and opinions multiply fast. Without a way to make sense of it, product decisions slow down and teams lose alignment. The right structure keeps everyone focused on what matters most.
Productbet doesn't replace any tool, it connects them all. The more you connect, the smarter it gets.
Productbet continuously ingests signals from every connected tool and builds a structured understanding of your product. You can ask questions like 'Where are users dropping off?' and it investigates friction, finds patterns across channels, and suggests structured bets. You can also set up automated discovery that runs on a schedule and optionally creates bets for you.
Most teams see their first AI-generated opportunities within hours of connecting a signal source. The real compounding happens over weeks as each completed bet makes future scoring more accurate.
Yes. Raw customer content is only used in-memory for AI analysis and is never stored. We keep structured, anonymized signals only. All data is encrypted in transit and at rest, and each organization is fully isolated.
Absolutely. Productbet integrates with the tools your team already uses, there's zero switching cost. Nobody needs to change how they work. Bets sync directly to Linear, Jira, or GitHub with issues created and progress tracked automatically.
Productbet remembers every signal, every decision, and every outcome. The more your team uses it, the sharper every future decision becomes. It's the institutional memory your product team has always needed.