Assistant Analytics: Adoption & Engagement tab

[Sharon_Barnes]

Assistant Analytics: Adoption & Engagement

Table of Contents

• Average Active Users
• New Users
• Average Conversations per User
• Active Assistants
• Conversation Volume Trend
• Assist-to-Execution Trend
• Example Calculation
• Conversations per Channel
• Strategic Applications
• New User Growth Trend

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Overview

Shipping an AI assistant is only half the job. The real question comes afterward: Are people actually using it? The Assistant Analytics Adoption & Engagement dashboard answers that question by providing a deeper view into how users interact with your assistants—how adoption is growing, where engagement happens, and whether your assistants are driving meaningful outcomes.

Think of this page as your AI adoption health dashboard. It helps teams understand user behavior, identify growth opportunities, and diagnose problems before they affect adoption. Instead of just showing raw conversation counts, these metrics reveal whether your assistants are becoming part of everyday workflows or just an experiment. Let's walk through the metrics that matter.

Family Release: Zurich Patch 6

Release: Now Assist for Platform version 10.0.3

Roles Required: virtual_agent_admin

00:00: Now let's look at the Adoption & Engagement tab.

00:03: If you want to understand whether your assistants are actually becoming part of how people work day-to-day, this is where you come.

00:11: It goes beyond conversation counts.

00:13: You're looking at user growth, engagement depth, resource efficiency, and channel reach all in one place.

00:20: Average. Active users is your adoption Baseline.

00:23: It tells you how many people consistently return to your assistance growth? Here means your assistance are earning a regular place in people's workflows.

00:32: Flat or declining, that's a signal either awareness is low or users aren't finding enough value to return.

00:39: New users tells you whether you're successfully reaching new audiences.

00:44: Consistent growth here means your onboarding and promotion efforts are landing a sudden drop-off, could mean you've maxed out your initial audience time to think about expanding to new teams or use cases.

00:55: Average conversations per user shows, How Deeply people engage across your entire assistant ecosystem.

01:02: A high number means users are coming back for multiple interactions. That's stickiness.

01:07: A low number is worth investigating, our users, getting what they need on the first try or are they just not returning at all?

01:34: The conversation.

01:35: Volume Trend, lets you connect the data to real-world events. You'll see volume over time, Broken Out by assistant. Hover, over any Spike or dip to see the detail. Use this to ask what happened that day.

01:49: a new launch a promotion, an outage

01:53: This turns raw activity into something. You can act on.

01:57: The Assist to Execution

02:00: Trend, is your efficiency signal. It shows the ratio of AI resource consumption to the number of actions actually completed.

02:08: If 100 assists produced 50 completed actions, your ratio is 2:1.

02:14: A stable or improving ratio means things are running well.

02:18: If that number starts climbing, it's a sign your conversation flows may need some optimization.

02:24: Conversations per channel breaks activity down by where users are engaging teams, slack web mobile and more.

02:33: This tells you, where your users actually live. So you know where to focus your integration and promotion Investments

02:39: And new user growth shows you the trajectory of new users over time. Not just the total count but whether momentum is building or flattening,

02:48: This is your read on, whether your current adoption strategy is working or needs a refresh.

02:54: The Adoption & Engagement tab gives you the full picture of how your assistants are growing, who's coming back, how efficiently they're running, and where users are engaging. It's the tab you check when you want to know if your AI investment is actually taking hold.

Average Active Users

This metric answers a simple but critical question: How many people are actively using your assistants on a regular basis?

Average Active Users serves as the baseline for adoption success. If the number steadily climbs, it usually means your assistants are becoming part of everyday workflows.

If it stagnates or declines, it may signal:

• Low awareness of available assistants

• Limited perceived value

• Friction in the user experience

In other words, this metric tells you whether your assistants are becoming a habit or just an experiment.

Indicator: Daily Conversation Consumers

New Users

New user growth measures how many people are trying your assistants for the first time.

This metric is closely tied to:

• onboarding initiatives

• product announcements

• internal promotion campaigns

Healthy adoption usually means steady inflow of new users.

If the number suddenly drops, it could mean:

• Your marketing push ended

• The initial audience is saturated

• Discovery inside your platform is weak

Tracking new users helps teams answer the question: Are we still expanding our user base?

Indicator: AI Engagement – New Users

Average Conversations per User

This metric divides total conversations by unique users. Why does that matter? Because it reveals how engaged users actually are.

A higher number suggests that users:

• return frequently

• interact with multiple assistants

• find enough value to keep coming back

A lower number often indicates “one-and-done” usage—people try the assistant once but don’t make it part of their workflow.

If engagement is low, you might need to:

• improve assistant capabilities

• surface additional use cases

• educate users about what the assistants can do

Indicator: Average Conversations per User

Active Assistants

This metric shows how many assistants are currently driving activity. It’s a useful way to understand the size and distribution of your assistant ecosystem.

Too many assistants with low engagement might indicate:

• fragmentation of functionality

• overlapping capabilities

• diluted user attention

On the other hand, a smaller number of assistants with high activity suggests a focused and effective deployment strategy.

Indicator: Active Assistants

Conversation Volume Trend

The Conversation Volume Trend chart visualizes conversation activity over time. This helps you connect usage spikes or drops to real-world events, such as:

1. Product launches
2. Feature updates
3. Outages
4. Seasonal work patterns
5. Company-wide initiatives

Hovering over the chart shows the percentage contribution of each day's conversations, giving you a quick view of when engagement peaked or dipped. If you see sudden drops, investigate quickly—something in the environment may have changed.

Indicator: Assistant Conversations

Assist-to-Execution Trend

This metric is one of the most interesting from a performance perspective. It measures the ratio between assists consumed and actions completed.

Example Calculation

1. 100 assists used
2. 50 actions completed
3. Result: 2:1 assist-to-action ratio

Tracking this ratio over time reveals how efficiently AI resources are translating into real work. If the ratio worsens, it could mean conversation flows are inefficient, assistants require too many steps, or users abandon tasks mid-process. Optimizing this metric often involves refining prompts, improving workflows, or simplifying task completion.

Indicator: Assist to Action Ratio

Conversations per Channel

Your assistants likely operate across multiple environments: Teams, Slack, web, and mobile. This metric shows where users actually engage with them.

Channel insights help teams decide:

1. Where to prioritize integrations
2. Which platforms need better promotion
3. Where users naturally prefer interacting with AI

For example, if Teams dominates, deepen your Teams integration. If web usage is low, the UI or discovery may need improvement. Understanding channel preference is key to meeting users where they already work.

Indicator: Assistant Conversations

New User Growth Trend

While the New Users metric shows total first-time users, the New User Growth Trend reveals something more important: the trajectory of adoption. It answers questions like:

1. Is adoption accelerating?
2. Has growth plateaued?
3. Are onboarding campaigns working?

This visualization helps teams understand momentum, not just raw numbers. If growth slows, it might be time to:

1. Refresh onboarding flows
2. Promote new assistant capabilities
3. Expand your target audience

Indicator: AI Engagement – New Users

Conclusion

The Assistant Analytics Adoption & Engagement dashboard gives you visibility into user growth, engagement depth, assistant ecosystem health, resource efficiency, and channel usage patterns.

Together, these insights help teams continuously refine their assistants so they become indispensable tools rather than novelty features. Because the real goal isn't launching assistants—it's making them part of how work actually gets done.

Check out the Assistant Analytics Hub for more resources