How to verify your team's status updates are accurate: a 5-step method (2026)
You verify a status update by checking it against the work itself, not against another update. Decide what counts as proof for each kind of work (a merged pull request, a ticket moved to done, a page that loads), ask people to point at that proof when they report, and look for three mismatches: a claim with nothing behind it, the same "almost done" day after day, and work that moved without anyone mentioning it. Done daily and treated as a question rather than an accusation, this catches slips in days instead of at the deadline.
Below is the method step by step, with what counts as evidence for common kinds of work.
Why updates drift from reality
Most inaccurate updates are not lies. People report what they intend, what they believe is nearly finished, or what they remember from yesterday. "Should be done today" turns into "done" in the next update before the last review is in. A task that is 90% finished can stay 90% finished for a week. And quiet people are often doing the most work and saying the least about it.
The problem is structural: an update is a summary written from memory, and nobody compares it with the record. The fix is not more meetings or longer updates. It is a habit of comparing the summary with the record.
Step 1: pick a source of truth for each kind of work
Before you can check anything, decide where the real state of each kind of work lives. Keep it to things that change when the work changes, not things people fill in by hand.
| Kind of work | What counts as evidence | Where it lives |
|---|---|---|
| Code | A merged pull request, a commit on the main branch, a deploy | GitHub or GitLab |
| Tickets and tasks | The issue moving to done, not just "in progress" | Linear, Jira, GitHub Issues |
| Content and marketing | The page, post or email actually live at its URL | The live site or platform |
| Design | The file shared for review, the approved version | Figma, the review thread |
| Sales and partnerships | The meeting held, the proposal sent, the stage moved | Your CRM |
| Operations | The report filed, the invoice sent, the ticket closed | The system of record for that job |
If a kind of work has no record anywhere, that is worth fixing on its own: it is the work most likely to be misreported.
Step 2: ask for updates that point at the work
Change the question from "what did you do?" to "what did you finish, and where can I see it?" A short daily check-in works well:
- What did you finish today? Link it.
- What are you working on next?
- Is anything blocking you?
Asking for a link is not an audit. It saves the person explaining and saves you asking. Most people are glad to show finished work.
Step 3: compare each claim with its evidence every day
Read the updates next to the record and sort each claim into one of four buckets:
- Backed up: the update says done and the record agrees. Nothing to do.
- Claim without evidence: the update says done, but there is no merged pull request, no closed ticket, no live page. Often a timing gap; sometimes it is not done.
- Repeating: the same item has been "almost done" for three or more days with nothing moving. This is the most useful early warning you will get.
- Silent work: the record shows work (commits, closed tickets) that nobody mentioned. Good news, and it tells you who is under-reporting.
Daily matters. A mismatch caught on day two is a conversation; caught at the deadline, it is a missed deadline.
Step 4: treat a mismatch as a question
A claim without evidence usually has an ordinary explanation: the pull request is waiting for review, the work is on a branch, the page is published but at a different URL. So ask, plainly and privately: "Your update says the launch page is live, but I can't find it. Is it on a different link?" Two things follow. People learn that updates get read, and the next update gets more specific on its own.
What not to do: keystroke counts, screenshots or activity scores. They measure motion, not finished work, and they cost trust you need for the method to work. See how to measure team productivity without tracking activity.
Step 5: automate the comparison
Doing this by hand works for three or four people. Past that, reading every update and clicking through every pull request becomes its own job. That is the part to automate: collect the check-ins, pull the record from the tools where the work happens, and put the two side by side with the mismatches marked.
There are a few ways to do it, from a scheduled script to tools built for it. We compared them in tools that check developers' status updates against their GitHub commits.
How Eodly does this
We make Eodly, so this is the part where we describe it. Eodly asks each person for a short check-in in Slack, Telegram or Discord, reads the work in GitHub and Linear, and sends you one report in the evening. Each claim sits next to the merged pull request or moved ticket behind it. Claims the work does not back up, updates that repeat with nothing moving, and work done without a check-in are flagged for you to look at. It does not track activity or take screenshots.
- Price: free for up to 5 people, no card. Team is $29 a month for up to 10 people.
- Where it fits less well: work that leaves no trace in GitHub or Linear. For those teams, steps 1 to 4 above still work by hand.
Questions people ask
How do I check status updates without micromanaging? Check the work, not the person. Compare what was reported with the record once a day, and raise only the mismatches as questions. You are not watching anyone work; you are reading results they already produced.
What is a source of truth in project management? The system where the real state of a piece of work is recorded, as opposed to someone's summary of it: the code repository for code, the issue tracker for tickets, the live site for published content.
What if my team's work does not leave a record? Start by asking for a link or a file with each "done". Within a week you will see which kinds of work have no record, and that is usually where updates drift most.
How often should I verify updates? Daily, briefly. A weekly check finds the same problems five days later.
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