PROJECT MANAGEMENT

Monday dependency shift with owner confirmation before write-back

When an upstream Monday item slips, this proposes the recomputed downstream dates to each owner in Slack with approve or decline buttons.

CategoryProject Management
Enginesim
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonday upstream item Due Date changedmonday.com
  • ActionWalk links and compute proposed downstream datesmonday.com
  • ActionSend owners interactive approve/decline Slack messageSlack
  • LogicRoute by owner response: approved vs declined
  • OutputWrite back approved date shifts to Mondaymonday.com

What it does

Automatic date shifts are fast but blind to context an owner may have. This keeps the human in the loop: when an upstream item slips it computes the proposed downstream dates and asks each owner to approve before anything is written. Owners can accept the shift or decline to handle it manually, so the boards never change behind someone's back.

When to use it

Use it on teams that want cascade automation but require owner sign-off on their own items, or where downstream owners often have a smarter plan than a flat date shift.

How it works

  1. 1A Monday Due Date column change on an upstream item triggers the flow.
  2. 2The flow walks the dependency links and computes proposed new dates for each downstream item.
  3. 3For each owner it posts an interactive Slack message showing current versus proposed dates with Approve and Decline buttons.
  4. 4A logic step waits for each response and routes approvals separately from declines.
  5. 5Approved chains are written back to Monday with the new dates; declined items are left untouched and logged in the Slack thread.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect monday.comVisual work management for teams.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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