How much of Friday's report was already in Jira?

The question this file answersIs my PM writing a status report every Friday, or retyping Jira into slides?

Fits: software teams running weekly or fortnightly sprints in Jira, Linear, Asana or Monday.com with code in GitHub, GitLab or Bitbucket, where a PM assembles the sprint and monthly reports by hand.

Not for: teams whose stakeholders read the board directly and want no report, or where the risk discussion is the report — that part stays a conversation.

Typical day

What the desk looks like today

Typical, from the software playbook — not a client's day. Every sprint ends in a report, every quarter in a bigger one. The PM exports from Jira or Linear, pulls merge and pipeline data from GitHub or GitLab, builds the charts, writes a narrative already visible in the tickets, sends it — then answers the questions the report should have pre-empted. It happens on Friday afternoon, when the sprint is closing and the PM has the least time, and hardest before a quarterly review, when several teams' reports are stitched into one.

What changes

What Monday looks like after

Friday, 14:00. The sprint report exists before the PM opens a laptop to write it: scope against delivery, the usual charts, bugs in and out, the CI trend, a drafted paragraph on what shipped and what carried over, and two flags — velocity down two sprints running, a spike in reopened bugs. The PM's afternoon goes on the section the numbers cannot write: which flag is a risk, what to cut, what to tell the stakeholder before Monday. Leadership gets its report on a fixed day each sprint, not whenever the slides were finished. GitLab (2023) measured 3–5 hours a week saved; the risk assessment stays the PM's.

Typical, not a measured client result. Every figure here comes from the playbook source named below.

~50–70%

of standard status reporting automatable — Gartner / GitLab (2023)

Before: a PM rebuilds charts and narrative that were already in the tickets. After: GitLab (2023) reports 3–5 hours a week saved on status communication — risk stays a person.

Where this number comes from

GitLab 'DevSecOps Survey' (2023) reports teams using AI-generated reports saving 3–5 hours a week on status communication; Gartner 'Magic Quadrant for Analytics' (2023) describes automated insight generation as a mainstream capability. Survey and analyst figures, not ours; playbook range 50–70%. Not a delivery-speed claim.

What we install

What we put in front of the systems you already run

Jira, Linear, Asana or Monday.com remain the source of truth, alongside GitHub or GitLab and your CI. On a schedule we add a reporting step through their APIs:

sprint scope, completed and carried-over work, bugs opened and closed, pipeline figures are pulled at sprint close
the charts your stakeholders expect are produced in the same layout
a short narrative is drafted from the numbers — what shipped, what slipped — and anomalies flagged: a velocity drop, a bug spike, a pipeline red for days
the report is filed and distributed in the channel you use now, the risk section left blank for the PM
routine data questions are answered from the same figures.

We start with one team.

What stays human — and what this will not do

Risk. What to cut. The conversation with the stakeholder before Monday.

Not a delivery-speed claim.

What can go wrong — and what we do about it

Reports are only as honest as the board: tickets closed without being done, or work tracked outside Jira, produce a confident report that is wrong — the audit surfaces this; it is a working-practice fix first. Custom fields and workflows differ per team; the first weeks go on mapping them, not saving time. A drafted narrative can read as an assessment; the risk section is deliberately blank so nobody mistakes a summary for a judgement. The 50–70% range covers standard reporting assembly; strategic interpretation, the presentation and what to cut are outside it.

How long it takes, and what we need from you

Audit, about two weeks (€1.5–3K): we sit with a PM through one sprint close, time the assembly, list every figure in the current report, and check API access to your tools. Pilot, 2–4 weeks, €10–20K — low complexity in the software playbook: one team, the existing report reproduced then improved, the PM reviewing every issue. Production: further teams, monthly and quarterly roll-ups, routine stakeholder questions. From you: read access to Jira or Linear, GitHub or GitLab and CI, plus the last three reports.

The path: free 60-second estimate → free 20-minute review → paid audit of this one process (€1.5–3K, typically two weeks) → pilot with your people in the loop (€10–20K, weeks, not quarters). No transformation programme. Prices are public, on the services page →

This is about you if…

Does sprint and release data live in Jira, Linear, GitHub or GitLab already?
Does a PM export it, build charts and write the narrative by hand each sprint?
Do stakeholders expect a report in a fixed format on a fixed day?

What does this mean in euros?

That depends on your volumes and wage costs — this page will not invent the number. The free 60-second estimate runs that calculation from your answers, with every multiplier sourced.

Get your free savings estimate 60 seconds · no sales call Or write first → Map an ops process like this one — free, 60 seconds →

Not a named Aperanda client. Process file · Ops.

Deep-dive process file. Volumes, weeks and sources come from the industry playbook; nothing here is a named client.

All process files