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GoldenGecko
Intercom data

Users who talk to support stay but most never reach out

Add proactive in-app help at confusion points

Add contextual help tooltips and chat prompts where users commonly get confused. Don't wait for them to find the help center.

ActivationBeginner
2-3 days to add help at top confusion points, 2 weeks to measure

When to use

You have identifiable confusion points (high exit rates, common support questions).

Hypothesis template

If we add fill in: contextual help at fill in: confusion points, support ticket volume will decrease by fill in: target% and activation will increase because users get unstuck faster.

Method

The problem: Users hit a confusing feature, look around for help, don't find it, and leave. Your help center exists but nobody visits it.

How to do it:

  1. Identify confusion points: pages with high exit rates, features with low adoption, common support questions
  2. Add a small "?" icon or tooltip at each point with a one-sentence explanation
  3. Link to relevant help article for deeper reading
  4. Add a "Chat with us" prompt on pages where users get stuck most
  5. Track: tooltip views, help article clicks, support tickets from those pages

Key insight: Help should appear where confusion happens, not in a separate help center. Inline help at the moment of confusion prevents 80% of support tickets.

Success metrics

  • •Tooltip engagement rate
  • •Support ticket reduction
  • •Activation rate at confusion points
  • •Help article click-through

Prerequisites

  • Analytics on page exit rates
  • A tooltip or help UI component
  • Knowledge of common user questions

Common pitfalls

  • •Adding help tooltips everywhere (only at confusion points)
  • •Writing jargon-filled explanations
  • •Not linking to deeper help for complex topics
  • •Making tooltips intrusive

Source: Intercom data. Contextual in-app help reduces support tickets by 30-50%.

Suggested ICE scores

5Impact
8Confidence
8Ease
activationhelptooltipssupportonboarding

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