PROJECTS
API
—
avg/wk · backlog —
BDA
—
avg/wk · backlog —
PRVDSK
—
avg/wk · backlog —
PRVMOB
—
avg/wk · backlog —
WEEKLY COMPLETIONS BY PROJECT
API
BDA
PRVDSK
PRVMOB
THROUGHPUT + 4-WEEK ROLLING AVERAGE
API
BDA
PRVDSK
PRVMOB
Total
4w avg
PROJECTS
OPEN BACKLOG BY PROJECT
API
BDA
PRVDSK
PRVMOB
BURN-DOWN FORECAST
ASSUMED THROUGHPUT · — issues/week
1/wk40/wk
—
weeks to clear · —
Open backlog: —
STATUS DISTRIBUTION BY PROJECT
ISSUE COUNT
API
BDA
PRVDSK
PRVMOB
DEV TYPE TREND weekly done, one project at a time · click legend to show/hide
WEEKLY DONE BY DEV TYPE
REQUESTING CUSTOMERS done issues
PROJECTS
DONE ISSUES BY REQUESTER
REQUESTER TREND — WEEKLY DONE
PROVIDER MODULES done issues, one project at a time
DEV TYPE
DONE ISSUES BY PROVIDER MODULE
MODULE TREND — WEEKLY DONE
PROJECTS
CYCLE TIME — WEEKLY DAYS (CREATED → RESOLVED)
Median
85th pct
BUG vs FEATURE — WEEKLY COMPLETIONS
Bug
Feature
Bug %
BACKLOG AGING — OPEN ITEMS BY AGE
API
BDA
PRVDSK
PRVMOB
COMPLETIONS BY FIX VERSION
API
BDA
PRVDSK
PRVMOB
SHOW
CYCLE TIME SCATTER — EVERY RESOLVED ISSUE
API
BDA
PRVDSK
PRVMOB
click a point to open the issue
PROJECT
SCENARIO CONTROLS
EXPECTED DEV CAPACITY · 50% of today
10%100%150%
BUG / REGRESSION FLOOR PROTECTED · 100%
scales with cutheld fixed
baseline —
NEW DEVELOPMENT
—
— vs today
FIX / REGRESSION
—
— vs today
NEW-DEV BACKLOG CLEAR
—
was —
EFFECTIVE NEW-DEV CUT
—
for a — capacity cut
CAPACITY REALLOCATION — WHERE THE HALVED POOL GOES
New Development
Fix / Regression
Unmet fix demand
THROUGHPUT PROJECTION — ACTUAL ◂ | FORECAST ▸
New Dev
Fix / Regression
forecast
typical variance
SCENARIO MIX
CHANGE FROM TODAY
Exporting from Jira
- In Jira, open a new issue search and switch the search bar to JQL mode.
- Paste in this query:
project in (API, BDA, PRVDSK, PRVMOB) AND (created >= "2026-01-01" OR resolved >= "2026-01-01") AND issuetype != Subtask ORDER BY created ASCtap to copy
- Open the three-dots menu in the top right of the results.
- Choose Export, then Export CSV (all fields).
- Drop the downloaded file below — it saves for everyone who opens this dashboard.
Drop your CSV here
or click to browse — accepts a raw Jira export or ytd_clean.csv
Expected columns
The dashboard accepts either a raw Jira export or the output of get.py. Raw exports are normalised automatically in-browser using the same status map as the Python pipeline.
Issue key
Status
Project key
Priority
Issue Type
Assignee
Summary
Created / Resolved
Story Points (optional)
Development Type (optional)