Service

Assistant Adoption

Make your AI assistant a habit — not a feature users try once.

Most teams can build an assistant. The hard part is getting users to actually use it. We help you increase discovery, first-use success, and repeat usage — until the assistant becomes a default way users get things done.

Best starting point if adoption is flat or usage doesn't stick.

Definition

Adoption = discovering, trusting, and returning.

Assistant adoption isn't "people clicked the chat bubble". It's users choosing the assistant repeatedly because it's the fastest path to getting value.

What adoption includes:

  • Users notice the assistant at the right moment
  • They understand what it's good for
  • They get value in the first session
  • They come back and rely on it in real workflows

We optimize the assistant's entry points, first value, and habit loop — across user segments and lifecycle stages.

The Challenge

Why most assistants fail.

01
The assistant is hidden or appears at the wrong time
02
The first interaction is low-value
03
Users don't know what to ask, so they bounce
04
Capabilities don't match user needs
05
The assistant isn't proactive, so users forget it exists

If adoption doesn't grow, the assistant becomes a cost center — and innovation stalls.

Is your assistant being ignored?

Let's audit your entry points and first-value moments to identify why users aren't sticking around.

Request an Audit
Our Approach

What we optimize.

We treat adoption like a product growth problem: the goal is repeat usage, not "AI engagement".

A) Entry points & triggers

We design where the assistant lives and when it shows up — inside the workflows where users already have intent.

Contextual buttons on high-intent pages
Inline 'Ask the assistant' in empty states
Post-action prompts
Help surface routing

B) Use case discovery

We analyze conversations and behavior to identify what people actually want. Then we help you decide what to build next.

Top use cases by volume and value
Where users get stuck
Capability gap analysis
Roadmap prioritization

C) First value moments

We design the first session so users hit a win fast — and understand what to do next.

'Aha' outcomes < 60 seconds
Failure-prevention guardrails
Clear next-step UX

D) Pre-built prompts

Users don't want to invent prompts. We give them proven starting points.

Summarize change sets
Setup assistance
Blocker identification
Draft creation

E) Proactive behavior

We design proactive moments that feel helpful — not spammy. Rules-based triggers that appear at decision points.

Clear user benefit focus
Easy dismissal logic
No irreversible actions
Deliverables

What you get.

01
Assistant adoption map (entry points + triggers)
02
Prioritized 'what to build next' roadmap
03
First-session redesign recommendations
04
Segment-based pre-built prompt library
05
Proactive strategy (triggers + rules)
06
Adoption measurement framework

Want your assistant to drive action, not just answers?

If your assistant isn't moving users to the next step, we'll help you redesign and optimize the journeys that matter most.