.carolinakis

AI interaction design

context

awork is a project management tool (like Jira or Monday.com). There was an AI feature implemented that lets users ask questions and get instant, context-aware answers about their tasks, projects, and team workload — no manual digging required.

Designing high-intent AI entry points to turn awork AI into a daily habit

problem

Despite strong AI capabilities, awork AI was not becoming a habitual part of users’ workflows.
» Users had to think too hard about what to ask the AI
» AI entry points felt disconnected from real work moments
» First-time usage required initiative and creativity
» Repeated usage required memory and motivation

solution

If awork AI is introduced at moments of highest user intent and powered by pre-filled, context-aware prompts—users can engage instantly, reach value faster, and build a habit of returning to the feature organically.
High-intent moments:
» Within a project: surface prompts to identify blockers, generate summaries, or assess project status.
» Within time tracking: offer prompts such as Weekly Time Report or Missing Time Check to support quick, task-driven insights.

Goals

≥ 500

Weekly Active Users (WAU)

20%

Prompts Opened

30%

Contextual Usage

Results

≥ 483

Weekly Active Users (WAU) / 🟠 97% of target

30%

Prompts Opened / 🟢 1.5× goal

73%

Contextual Usage / 🟢 2.4× goal

Goals

≥ 500

Weekly Active Users (WAU)

20%

Prompts Opened

30%

Contextual Usage

Results

≥ 483

Weekly Active Users (WAU) / 🟠 97% of target

30%

Prompts Opened / 🟢 1.5× goal

73%

Contextual Usage / 🟢 2.4× goal

Key learnings

`01.`

The capabilities were strong, the access points were weak.

`02.`

Pre-filled prompts remove the biggest barrier. Users don't want to think about what to ask.

`03.`

Respecting user autonomy builds trust. Optional assistance outperforms forced exposure.

Key learnings

`01.`

The capabilities were strong, the access points were weak.

`02.`

Pre-filled prompts remove the biggest barrier. Users don't want to think about what to ask.

`03.`

Respecting user autonomy builds trust. Optional assistance outperforms forced exposure.

Key learnings

`01.`

The capabilities were strong, the access points were weak.

`02.`

Pre-filled prompts remove the biggest barrier. Users don't want to think about what to ask.

`03.`

Respecting user autonomy builds trust. Optional assistance outperforms forced exposure.

Key learnings

`01.`

The capabilities were strong, the access points were weak.

`02.`

Pre-filled prompts remove the biggest barrier. Users don't want to think about what to ask.

`03.`

Respecting user autonomy builds trust. Optional assistance outperforms forced exposure.

solution

If awork AI is introduced at moments of highest user intent and powered by pre-filled, context-aware prompts—users can engage instantly, reach value faster, and build a habit of returning to the feature organically. High-intent moments » Within a project: surface prompts to identify blockers, generate summaries, or assess project status. » Within time tracking: offer prompts such as Weekly Time Report or Missing Time Check to support quick, task-driven insights.

.say hello

Feel free to email me to see how can we collaborate

contact me

.say hello

Feel free to email me to see how can we collaborate

contact me