UserOnboarding.ai
Onboarding that uses AIOnboarding vendorschameleon.io ↗

Chameleon

Chameleon's Copilot turns a goal like 'launch our new feature' into a researched brief and then a multi-experience onboarding campaign. It uses Chameleon's benchmark data to push back on tours that users tend to dismiss.

Copilot prompt: 'What are you trying to do?' with goal chips, an attached feature PDF and an audience segment picker
Copilot prompt: 'What are you trying to do?' with goal chips, an attached feature PDF and an audience segment picker · Chameleon Blog
From 'Launch our new Intelligence 2.0 feature' to Researched Topic, Strategy Brief and generated tour steps
From 'Launch our new Intelligence 2.0 feature' to Researched Topic, Strategy Brief and generated tour steps · Chameleon Blog

Notes

  • Copilot opens on 'What are you trying to do?' with goal chips (Launch a new feature, Drive adoption of a feature, More…), a free-text prompt that can reference an existing walkthrough, an attached PDF and an @-picked audience segment.
  • Its pipeline is shown as Researching → Strategizing → Creating: a 'Researched Topic' card (it uses web search on your product), a 'Strategy Brief' with objective and problem, then generated steps with Next/Dismiss buttons.
  • Output includes copy, targeting rules and goal configuration across tours, modals, banners and surveys, not just a single tour.
  • It is trained on Chameleon Benchmarks ('5-step tours see 78% drop-off') and is pitched as protecting users by pushing back on bad UX; CEO Pulkit Agrawal cites a 91% dismissal rate on first onboarding steps.
  • Runs in strategy, create and analyze modes, so it can critique existing experiences as well as build new ones.

Patterns

goal-to-campaignai strategy briefbenchmark-grounded pushbackprompt-to-flow builder

Articles

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