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Growth idea action plan

Event-triggered research message with two questions

Ask for feedback immediately after the user does the relevant thing, and keep the message to one or two direct questions.

uncommon tacticfree budget

Why this can grow a startup

Research messages get vague when they are sent long after the behavior or padded with survey language. Intercom's cheat sheet is useful because it turns the message into a small operating pattern: send it right after the event, know the decision you are trying to make, define the audience tightly, and keep the ask short enough that a busy user can answer without opening a separate form. That raises the odds of getting usable detail instead of polite noise.

Company example

Intercom's research-message cheat sheet says to ask right after the customer has done something or visited somewhere in the product and to keep the prompt to ideally one but no more than two questions.

Source and metric

Source: Intercom Blog PDF: Research Message Cheat Sheet

Intercom recommends one or at most two questions in the message, with a survey used only when more is needed.

Source discovered: May 30, 2026

ResearchLifecycle MessagingProductuser researchfeedback timingactivationmessage design
GrowthDex operator note

When to use it

Use this when Research, Lifecycle Messaging, Product is relevant to user research, feedback timing, activation and you can run a bounded test with a free budget.

When not to use it

Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.

Founder checklist

  1. Read Intercom Blog PDF: Research Message Cheat Sheet and identify what is directly supported.
  2. Choose one channel context: Research, Lifecycle Messaging, Product.
  3. Define the test around Intercom recommends one or at most two questions in the message, with a survey used only when more is needed..
  4. Set an owner, evidence window, and stop condition before launch.

Explore the context

Advisory bridge

Apply this with an operator

Build creator and community systems around real incentives, trust, and repeat participation.

Work with Ian