✦ Egnyte ✦ Designer + Product Manager ✦ Secure Content Collaboration  
Egnyte AI Assistant on Homepage
Egnyte AI Assistant on Homepage
Egnyte AI Assistant on Homepage

Reimagining enterprise search as an action-first, conversational AI Homepage

Reimagining enterprise search as an action-first, conversational AI Homepage

Reimagining enterprise search as an action-first, conversational AI Homepage

In development

As Product Designer, worked on WebUI App & Desktop App.

As Product Designer, worked on WebUI App & Desktop App.

As Product Designer, worked on WebUI App & Desktop App.

Tools used:

Tools used:

1,554 domains had AI switched on.
Only ~500 were using it.

1,554 domains had AI switched on.
Only ~500 were using it.

The homepage wasn't doing its job. Users landed, grabbed a file, and left, unaware that agents were available to perform their tasks. The redesign had one goal: close the gap between capability and comprehension.

The homepage wasn't doing its job. Users landed, grabbed a file, and left, unaware that agents were available to perform their tasks. The redesign had one goal: close the gap between capability and comprehension.

The homepage wasn't doing its job. Users landed, grabbed a file, and left, unaware that agents were available to perform their tasks. The redesign had one goal: close the gap between capability and comprehension.

Key Product Decisions

Key Product Decisions

Key Product Decisions

1 | The homepage was a navigation tool. We needed it to be a workdesk.

1 | The homepage was a navigation tool. We needed it to be a workdesk.

1 | The homepage was a navigation tool. We needed it to be a workdesk.

Monthly clicks on

Monthly clicks on

17,400

17,400

17,400

Bookmarks

Bookmarks

1,500

1,500

1,500

Tasks

Tasks

Tension: Data favored Bookmarks. Removing or deprioritising it risked disrupting familiar behavior.

Tension: Data favored Bookmarks. Removing or deprioritising it risked disrupting familiar behavior.

Decision: We reduced emphasis on Bookmarks to surface Tasks (signature requests, document reviews, and security alerts).

Decision: We reduced emphasis on Bookmarks to surface Tasks (signature requests, document reviews, and security alerts).

Why: High usage reflected habit, not value. Tasks represented work that required attention but remained buried.

Why: High usage reflected habit, not value. Tasks represented work that required attention but remained buried.

Before

Before

After

After

2 | Generic agent names don't get clicked. Context does.

2 | Generic agent names don't get clicked. Context does.

2 | Generic agent names don't get clicked. Context does.

AI engagement dropped from

AI engagement dropped from

38%

38%

38%

Week 1

Week 1

12%

12%

12%

Tasks

Tasks

Tension: Improving onboarding would increase awareness but not sustained usage.

Tension: Improving onboarding would increase awareness but not sustained usage.

Decision: We shifted from a generic 'AI Assistant' to contextual prompts powered by an LLM scoring layer.

Decision: We shifted from a generic 'AI Assistant' to contextual prompts powered by an LLM scoring layer.

Why: Users don’t think in product terms. The system reads recent files, tasks, and activity to surface actions in the user’s context, not the product’s language.

Why: Users don’t think in product terms. The system reads recent files, tasks, and activity to surface actions in the user’s context, not the product’s language.

Before

Before

After

After

3 | The homepage wasn't where desktop users worked.

3 | The homepage wasn't where desktop users worked.

3 | The homepage wasn't where desktop users worked.

42%

42%

42%

Desktop users accessed Egnyte through Finder or Windows Explorer.

Desktop users accessed Egnyte through Finder or Windows Explorer.

Tension: Driving users back to the homepage required behavior change, which rarely sustains.

Tension: Driving users back to the homepage required behavior change, which rarely sustains.

Decision: We introduced a lightweight desktop panel with AI input and pending tasks.

Decision: We introduced a lightweight desktop panel with AI input and pending tasks.

Why: Instead of pulling users into the product, we embedded the product into their existing workflow.

Why: Instead of pulling users into the product, we embedded the product into their existing workflow.

Before

Before

After

After

The challenge wasn’t to add more capability.

But to let AI become part of how work actually gets done.

The challenge wasn’t to add more capability.

But to let AI become part of how work actually gets done.

The challenge wasn’t to add more capability.

But to let AI become part of how work actually gets done.