Fast Sticky Opens the Door. Slow Sticky Keeps It Open.

Immediate recognition and relief create memory. Repeated dependable value earns a lasting place in the user’s life.

The Field Guide

Methods and tools to design AI products people trust and keep using.

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A product can create a sharp moment of value and still fail

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A dramatic first result without compounding value becomes a demo people admire and forget. A powerful long-term system with no early relief becomes a setup project nobody finishes.

Either way, the user leaves before the product earns a place. Did the first result solve one credible job against a real object? Does the next occurrence start with preserved decisions and context? Is anyone returning for the job itself? Both answers matter, on different timescales.

Two clocks shape adoption

Fast sticky is the first-use proof: a person recognizes an active problem, gets a useful result, and feels a burden lift. Slow sticky is the later value: saved context, decisions, and trusted workflows make the next occurrence of the job easier.

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Two clocks

Compare the first useful result with what makes later work easier.

Fast sticky
What real task can someone complete in the first use, and which burden does that result remove?
Slow sticky
What context, decision, or workflow will reduce work when that job returns?
Missing fast sticky
What setup, migration, or learning happens before anyone receives a useful result?
Missing slow sticky
What must someone explain, recreate, or correct again when the job returns?

Fast sticky proves the promise

The first experience should make the product’s difference concrete.

It doesn’t need to expose every feature. It needs one credible job completed against a real object. For a meeting assistant, the early win isn’t installing the calendar integration. It’s getting a clean summary with action items from a real call—fast enough to use immediately.

The result should be easy to evaluate and proportionate to the commitment the user made. Don’t confuse wow with relief. Impressive and burden-reducing aren’t the same. A giant generated plan can create more work.

Fast sticky reduces resistance and creates relief. It gives the user a reason to return before the relationship has depth.

Watch for time to first accepted result, not merely time to signup or generated output.

Slow sticky builds earned progress

Repeated use should improve the relationship. The user is accumulating evidence: Am I actually faster? Am I making fewer mistakes? Is my output better than before?

The product remembers the right preferences with visible scope. It preserves objects, decisions, evidence, and versions. It fits the team’s recurring triggers. It reduces setup and review rather than adding clutter. It connects the current task to the history that makes the next decision better.

Context compounds only if it changes the next run. If the product remembers everything and the user still has to re-brief it, nothing has compounded.

This accumulated value is portable in principle but costly to recreate. The user stays because the product has become an accurate reflection of the work—not because leaving is blocked.

Sequencing avoids the two traps

Example

Two clocks: the magic trick and the enterprise maze

These are two failure cases. In the first, a meeting assistant gives a useful result once but nothing helps with the next call. In the second, the team must complete extensive setup before it receives a useful result.

MomentThe magic trickThe enterprise maze
First useThe assistant turns a real call into a clean summary with action items quickly enough to use.The team must migrate data, model the workflow, invite colleagues, and train them before receiving a useful result.
Next useAt the next call, the assistant starts from a blank box. No previous actions, corrections, or meeting context carry forward.Deep configuration promises to preserve workflow details for later work, but the team has not yet seen a useful result.
FailureThe first summary impresses the user, but later calls require the same briefing and review as before.The team abandons setup before the promised context can accumulate.

The answer isn’t an artificial gamification layer. It’s sequencing.

Use a narrow valuable case to open the door. Let the durable system reveal itself as the user’s commitment grows.

The bridge should make the next use better

When a person remembers a first useful result but not the job it helped with, the first use did not fail. The bridge to the second use failed. After first relief, the product should suggest a next useful commitment that gives the person a reason to return when the job recurs and makes that return start with less setup.

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Design the bridge

Choose which commitment to suggest next.

Save
the result as a durable object.
Connect
the source that reduces re-entry work.
Reuse
the workflow when the trigger recurs.
Apply
a correction at the right scope.
Bring in
the collaborator who owns the next step.
Delegate
a bounded class of low-risk actions.

Each step should make the next use better, not merely increase account completeness. The next step should deepen the same capability rather than jump to unrelated automation.

Audit both clocks

Audit both clocks

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