Reports & Analytics

Understand your support volume at a glance. Scitor tracks daily metrics and generates visual reports so you can spot trends, measure response rates, and share support activity with your team.

Tracked metrics

Metric Description
Inbound emails Emails received and converted to issues/discussions
Outbound emails Replies sent via /send and /sendall
Form submissions Web form submissions received
Tickets opened New tickets created from emails, forms, or directly on GitHub
Tickets closed Tickets closed during the month
Reopened Tickets that were reopened after being closed
Current backlog Tickets currently still open
First response time Time from ticket creation until the first reply (avg, p50, p90)
Resolution time Time from ticket creation until close (avg, p50, p90)
Per-assignee activity Tickets opened, closed and replies sent per assignee

Metrics are tracked daily and aggregated by month.

Generating a report

Use the /generate-report command in any issue or discussion:

/generate-report

This generates a visual chart for the current month showing daily activity.

Specify a different month

/generate-report january
/generate-report 3

You can use month names (full or abbreviated) or numbers (1-12).

Report format

Reports are rendered as a visual chart directly in the GitHub comment, showing day-by-day activity bars for each metric type. This gives you a quick visual overview of:

  • Volume trends β€” Are support requests increasing or decreasing?
  • Response patterns β€” How many outbound emails are you sending?
  • Channel mix β€” What’s the split between email and form submissions?

Outbound limit tracking

Your monthly outbound email count is tracked automatically. When you approach your plan limit (100 for Free, 500 for Pro), the /send command will alert you. The counter resets on the 1st of each month.

Tip

Generate a report at the end of each month to review your team’s support activity. Share the report in a team channel to keep everyone aligned on support volume.

SLA compliance (Pro plan)

When SLA tracking is enabled, reports also include:

  • First response SLA compliance β€” Percentage of tickets where the first response was within target
  • Resolution SLA compliance β€” Percentage of tickets resolved within target
  • SLA breaches β€” Total count of first-response and resolution breaches for the month
  • Average first response time β€” Mean time to first reply
  • Total tickets tracked and tickets resolved for the month

Ticket volume & response times

For every installation (no Pro required), reports include a Ticket Volume section showing how many tickets were opened, closed, and reopened during the month, and how many remain in the current backlog.

When tickets have lifecycle data, two additional sections appear:

  • First Response Time β€” average, p50 (median) and p90 of the time from a ticket being opened until the first outbound reply was sent.
  • Resolution Time β€” average, p50 and p90 of the time from a ticket being opened until it was closed.

These metrics are derived from ticket lifecycle events (opened, first response, closed, reopened) recorded automatically as activity happens.

Per-assignee breakdown

A By Assignee section shows each user who handled tickets during the month with three counters:

  • Opened β€” tickets assigned to that user during the month
  • Closed β€” tickets the user closed
  • Replies β€” outbound replies sent by that user

Use this to spot who’s carrying the load and balance work across the team.

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