Skip to main content

AI Adoption

Connect AI tools to TargetBoard to track AI impact through comprehensive metrics including code lines, active users, and acceptances to inform organizational decisions.

Insights into your AI usage

Connect your AI coding tools to TargetBoard to enable the metrics shown below for your organization.

Together with other engineering metrics, these can be used to track the impact AI is having on how you work and make informed decisions moving forwards on your organization's AI journey.

If using multiple tools, TargetBoard can also provide breakdowns showing which tools are used and trusted most by your teams.

Note that the metrics list provided below is demonstrative only, and that custom metrics, calculations and data points are created based on individual customer requirements. Reach out directly to your Customer Success Manager with any questions or requests you have.


% AI ROI

The return on investment for AI tools, expressed as a percentage of net gain relative to AI tool spend.

% AI Productivity Lift

The percentage change in the number of closed pull requests compared to the pre-AI benchmark.

Avg AI Maturity Score

Average AI maturity score (0-100) across developers as of the selected date, over a rolling 4-week window. Configurable per account. See here for more information.

Developers by AI Maturity Level

Number of developers at each AI maturity level as of the selected date. Split by "AI maturity level" to see the current distribution across Not Adopted, Explorer, Practitioner, Advanced and Leader. Covers developers who have used an AI tool at least once. See here for more information.

AI Tools - Cost

Shows the aggregated cost of your AI tools during the reporting period.

AI Tools Cost per Pull Request

Shows the average cost of AI tool usage based on Closed Pull Requests during the reporting period.

AI Tools - Tokens

Shows the total number of tokens used during the reporting period.

AI Tokens per Pull Request

Shows the average number of tokens used per closed and merged Pull Request during the reporting period.

% Estimated Lines-Of-Code Written By AI

Estimated percentage of code merged into the codebase written with AI assistance during the reporting period.

# Estimated Lines-Of-Code Written By AI

Estimated total lines of code merged into the codebase written with AI assistance during the reporting period.

# AI Active Users

Count of unique users making use of AI coding tools during the reporting period.

# AI Sessions

The total number of coding sessions during which AI coding assistance was used.

# AI Chats

Number of chats initiated with AI tools while coding.

# AI Chat Results Accepted

Count of how many times users accepted AI chat results during the reporting period.

% AI Chat Results Accepted

The percentage of AI chat results accepted by users during the reporting period.

# Avg Tool Chats Per Developer

Average number of AI tool chats based on the total number of chats and the number of active tool users during the reporting period.

# AI Lines Suggested

Counts the lines of code suggested by AI tools during the report period.

# AI Lines Accepted

Count of all lines accepted from AI tools during the reporting period.

% AI Lines Accepted

Percentage of all lines suggested by AI coding tools which were accepted by developers during the reporting period.

# AI Code Suggestions

Count of all code suggestions from AI tools during the reporting period.

# AI Code Acceptances

Count of all code suggestions from AI tools which were accepted by developers during the reporting period.

% AI Code Accepted Suggestions

Percentage of AI code suggestions accepted by users during the reporting period..

AI Tools - Skill Usage Cost

The total cost of AI tools which is attributable to AI agent skills.

AI Tools - Skill Usage Tokens

The total number tokens consumed which is attributable to AI agent skills.

AI Adoption - #Developers Using Skills

The number of users who have actively used at least on AI skill during the reporting period.

AI Adoption - #Skills Used

Count of distinct AI agent skills used during the reporting period.


How did we do?

Product

DevOps & Site Reliability

Contact