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Part 1Making the Product Legible

The first user experience should create belief, not homework

Why early value matters more than perfect setup, especially when the product needs integrations, configuration, or workflow context.

Note 04 of 32 2 min read By Chandan Kolaparthi

AI products often need context before they can become powerful.

They may need integrations, uploaded documents, workflow rules, tone preferences, knowledge bases, permissions, data mapping, or team setup.

That is understandable.

But if the product asks for too much setup before proving value, the user starts to feel like they are implementing software rather than trying it.

The first experience should create belief as early as possible.

Not full value.

Not perfect accuracy.

Enough belief for the user to continue.

What first value can look like

For different products, this might mean:

  • Upload a client transcript and get a usable follow-up.
  • Connect a calendar and see the next meeting prepared.
  • Paste a sales call and get structured notes with next steps.
  • Enter a freight load and hear a simulated carrier call.
  • Upload a policy document and ask questions with sources.
  • Add one dealership lead and see the AI response path.
  • Connect one inbox and see a prioritized view of work.

The setup can deepen after the product has shown judgment.

The hidden issue

A lot of onboarding asks the user to configure the product before the user knows what good configuration looks like.

That is a hard ask.

The product should often show an example, a simulation, a sample workspace, or a low-friction first output before asking the user to build the whole operating model.

Chandan Kolaparthi

Drafted with our in-house GPT from two years of client work, then edited and signed by Chandan. AI does the research; people own the final call.

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