✦ GitHub Copilot Signals Dashboard

See how teams are actually using GitHub Copilot.

Turn GitHub’s detailed activity export into adoption, workflow, and model-routing signals. Processing stays entirely in your browser.

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Load a GitHub GitHub Copilot export

Choose one or more part-*.json or part-*.ndjson files from the updated export. JSON arrays are also supported.

Choose export files

One record represents one user on one day. Upload every part-* file from an export for the complete period.

◎Read this as adoption, not quotas. GitHub’s new activity export reports user/day totals. Model and feature charts are nested breakdowns; they should not be added together with the headline totals.

Active seats

—of reported users

Engagement

—reported users active in period

Agent adoption

—of active seats

Chat adoption

—of active seats

Accepted changes

—accepted activities

AI credits used

—reported consumption

Dormant seats ⓘ

—of reported seats

AUTO ROUTING BY MODE ⓘ

—

Load data to compare Auto selection in Agent and Ask mode.

ADOPTION MOMENTUM

—

Activity trend will appear here.

LEADING GITHUB COPILOT FEATURE

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Feature activity will appear here.

DAILY PULSE

Interactions and code generation

MODEL CHOICE

Daily routing — Auto versus named models

model-attributed generation activity

MODEL ROUTING

Auto share by interaction mode

% of generation

REPEAT USE

How often people return

active days

BREAKDOWN

Model, feature and language mix

ENVIRONMENTS

IDE activity

PRODUCT SURFACES

People using each surface

CODE CHANGES

Agent-initiated vs user-initiated changes, by person ⓘ

ADOPTION

Most active people

by interactions

SEAT DETAIL

People in the selected period

Person ↕	Active days ↕	Last active ↕	Interactions ↕	Generated ↕	Accepted ↕	Completion accept rate ⓘ ↕	Code completion ↕	Agent ↕	Chat ↕	CLI ↕	Credits ↕