Strategic Dashboards

Last updated 11 days ago

The four strategic dashboards provide high-level insights into your organization's AI adoption and performance.

1. Overview Dashboard

Path: /overview

Purpose: Get a quick snapshot of your organization's AI usage at a glance.

KPI Cards

Active Users

People who interacted during the period

Count of unique members who sent ≥1 message

Usage Intensity

Average messages per active user

Total messages ÷ Active users

Mates per User

Average number of different Mates used

Distinct Mates used ÷ Active users

Growth

Growth percentage vs previous period

(Current users - Previous users) ÷ Previous users × 100

Daily Activity Chart

A dual-dataset bar chart showing activity over time:

  • Blue bars — Human messages (messages sent by users)

  • Purple bars — Mate responses (AI-generated responses)

Use this to:

  • Identify peak usage days

  • Spot trends in AI adoption

  • Detect anomalies or drops in activity

Workspace Activity

A split-view comparison showing personal vs collaborative usage:

Conversations Split

  • Personal — 1:1 chats between a user and a Mate

  • Collaborative — Multi-user conversations in shared workspaces

Active Users Split

  • Personal — Users who only used personal chats

  • Collaborative — Users who participated in shared workspaces

Active Workspaces Count

Total number of workspaces with at least one conversation during the period.

Use this to:

  • Understand if AI is used more for personal productivity or team collaboration

  • Identify opportunities to promote collaborative AI usage

Popular Mates

A ranked list of the most requested Mates during the period.

Displays:

  • Mate name

  • Number of requests (messages sent to that Mate)

Use this to:

  • Identify which Mates provide the most value

  • Discover underutilized Mates that may need better promotion

  • Inform decisions about which Mates to optimize or expand

Period Summary

A consolidated metrics panel showing key totals for the selected period:

Total Messages

All messages sent (human + AI)

Total Conversations

Distinct conversation sessions

AI Responses

Messages generated by Mates

Tokens Consumed

Total input + output tokens

Estimated Cost (USD)

Approximate cost based on public pricing

2. Engagement Dashboard

Path: /engagement

Purpose: Understand user adoption, retention, and behavior patterns.

KPI Cards

Active Users

People who sent at least one message

Count of unique active members

Conversations / User

Average conversations per active user

Total conversations ÷ Active users

Messages / User

Average message count per active user

Total messages ÷ Active users

Mates Explored / User

Diversity of Mates usage per person

Distinct Mates used ÷ Active users

Daily Active Users Chart

A bar chart showing the number of active users per day.

Use this to:

  • Track daily engagement trends

  • Identify days with low engagement (weekends, holidays)

  • Measure the impact of training or communication campaigns

Adoption Levels

Categorizes users by their usage intensity during the period:

Discovery

1–5 messages

New or occasional users exploring the platform

Occasional Use

6–20 messages

Users who engage sporadically

Frequent Use

21–50 messages

Regular users integrating AI into their workflow

Power Users

50+ messages

Heavy users who rely on AI daily

Displayed as: A horizontal bar chart showing the distribution across levels.

Use this to:

  • Identify your power users for case studies or feedback

  • Spot users stuck in "Discovery" who may need onboarding support

  • Measure the maturity of AI adoption in your organization

Activation Rate

A donut chart showing the split between:

  • Active — Sent at least one message during the period

  • Inactive — No messages during the period

Percentage shown: Active users ÷ Total organization members × 100

Use this to:

  • Measure overall platform adoption

  • Identify inactive users who may need re-engagement

  • Set goals for increasing activation rate

User Breakdown

Among active users, shows the split between:

  • New — Joined the organization during the selected period

  • Returning — Were already members before the period started

Displayed as: A donut chart with counts and percentages.

Use this to:

  • Track the impact of new user onboarding

  • Measure retention of existing users

  • Understand if growth is driven by new users or increased engagement from existing ones

Top Users

A leaderboard of the most active users, showing for each:

User

Name and avatar

Active Days

Days with at least one message

Mates Used

Number of distinct Mates interacted with

Tools Triggered

Number of tool calls initiated

Tokens Consumed

Total tokens (input + output)

Estimated Cost

Approximate cost for this user

Top Mates

The 3 most-used Mates by this user

Default view: Top 5 users Expandable: Click "View all" to see the complete list

Use this to:

  • Identify champions and advocates for AI adoption

  • Understand usage patterns of power users

  • Spot users with unusually high costs for optimization

Engagement Trends

A multi-line chart tracking the evolution over time of:

  • Total messages — All messages sent

  • Conversations — Number of conversation sessions

  • Messages per session — Average messages per conversation

  • Mates used — Number of distinct Mates requested

Use this to:

  • Spot long-term trends in engagement

  • Identify seasonal patterns

  • Measure the impact of new features or Mates

3. Mates Dashboard

Path: /mates

Purpose: Analyze the performance and usage of your AI assistants.

KPI Cards

Active Mates

Mates requested at least once

Count of Mates with ≥1 request

Requests

Total messages sent to Mates

Count of all Mate invocations

Users

People who used a Mate

Count of unique users who interacted with any Mate

Tokens / Response

Average response efficiency

Total tokens ÷ AI response count

Mates Activity Chart

A bar chart showing the number of Mate responses generated per day.

Use this to:

  • Track daily AI workload

  • Identify peak usage days

  • Correlate Mate activity with business events

Performance by Mate

A detailed table showing metrics for each Mate:

Mate

Name and username

Requests

Number of times this Mate was invoked

Users

Number of unique users who used this Mate

Active Days

Days with at least one request

Conversations

Number of conversations involving this Mate

Tokens

Total tokens consumed by this Mate

Estimated Cost

Approximate cost for this Mate

Tools Used

Number of distinct tools this Mate invoked

Default view: Top 10 Mates by requests Expandable: Click "View all" to see the complete list

Use this to:

  • Identify your most valuable Mates

  • Spot underutilized Mates that may need better configuration or promotion

  • Optimize high-cost Mates by reviewing their prompts or models

Usage Distribution

A bar chart showing how usage is spread across Mates.

Displays:

  • Top 3 Mates and their combined percentage of total usage

  • Remaining Mates grouped as "Others"

Concentration indicator:

  • "Very concentrated" — Top 3 account for >70% of usage

  • "Moderately concentrated" — Top 3 account for 40–70% of usage

  • "Well distributed" — Usage is evenly spread (<40% in top 3)

Use this to:

  • Understand if your organization relies heavily on a few Mates

  • Identify opportunities to diversify Mate usage

  • Spot potential single points of failure

Cost Overview

Summary cost metrics for the period:

Estimated Total Cost

Based on providers' public pricing (USD)

Total Tokens

Combined input + output tokens

Cost per User

Average cost per active user

Important: Costs are estimates based on public pricing. Actual costs may vary depending on your provider agreements and volume discounts.

Use this to:

  • Budget for AI spending

  • Justify ROI to stakeholders

  • Identify cost optimization opportunities

4. Usage Dashboard

Path: /usage

Purpose: Deep-dive into token consumption, cost tracking, and efficiency optimization.

KPI Cards

Total Tokens

Input + Output tokens consumed

Sum of all tokens

Estimated Cost

Based on public pricing (USD)

Sum of (tokens × model pricing)

Tokens / Message

Average efficiency per message

Total tokens ÷ Message count

Cost / User

Average cost per active user

Estimated cost ÷ Active users

Usage Evolution Chart

A dual-axis line chart showing:

  • Left axis (blue line) — Token consumption over time

  • Right axis (green line) — Cost in USD over time

Use this to:

  • Track spending trends

  • Identify cost spikes

  • Correlate usage with business events

Input / Output Split

A donut chart showing the ratio between:

  • Input tokens — Tokens sent to the model (prompts, context, conversation history)

  • Output tokens — Tokens generated by the model (AI responses)

Includes: A hint showing the current output-to-input ratio (e.g., "2.3:1")

Use this to:

  • Understand if your Mates are verbose (high output ratio)

  • Identify opportunities to optimize prompts for more concise responses

  • Benchmark against industry standards (typical ratio: 1.5–3:1)

Cost by Provider

A bar chart showing spending distribution across LLM providers.

Common providers:

  • OpenAI (GPT models)

  • Anthropic (Claude models)

  • Google (Gemini models)

  • Mistral

  • Others

Use this to:

  • Understand your provider mix

  • Negotiate volume discounts with top providers

  • Diversify providers for cost optimization or redundancy

Most Used Models

A ranked table of LLM models by token consumption.

Displays:

  • Model name (e.g., "GPT-4o", "Claude 3.5 Sonnet")

  • Total tokens consumed

  • Percentage of total usage

Use this to:

  • Identify which models are most popular

  • Evaluate if expensive models are being overused

  • Consider switching to more cost-effective models for certain use cases

Efficiency Analysis

An optimization scoring system that evaluates your organization's token efficiency.

Efficiency Score

Rated out of 100, based on:

  • Tokens per message

  • Output-to-input ratio

  • Variance in response lengths

Status Indicators

80–100

"Excellent efficiency"

Responses are concise and efficient

60–79

"Verbose responses"

Consider adjusting prompts for more concise output

<60

"High output ratio"

Responses are very long compared to questions — review Mate instructions

Use this to:

  • Set efficiency goals

  • Identify Mates that need prompt optimization

  • Reduce costs without sacrificing quality