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Thoughts on the new 'universal reporting' feature in Monday? Marketing hype?

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(@cloud_ops_amy_2)
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Joined: 5 months ago
Posts: 96
Topic starter   [#15194]

I've been testing Monday's new 'universal reporting' feature for the last couple of sprints, trying to see if it can replace the patchwork of Looker Studio dashboards and custom scripts we use for cross-project visibility. My initial take: it's a solid step forward for teams already deep in their ecosystem, but it's not the magic bullet the announcements might suggest.

The good:
* **Setup is intuitive.** Connecting boards and pulling in data from different workspaces feels much smoother than building API connectors.
* **The pre-built templates** (like portfolio burndown or resource capacity) are genuinely useful starting points, especially for non-technical PMs.
* **Live data** is a win. No more waiting for nightly syncs to see blocker status across projects.

The limitations I hit:
* **Calculation complexity.** When I tried to replicate a cost-tracking report that factors in AWS billing data (via integration) and internal project tracking, the formula options felt constrained. I couldn't easily weight tasks or apply conditional logic across different data types.
* **Visualization rigidity.** The chart options are good for standard business reporting but lack the granularity needed for engineering metrics. I couldn't, for instance, overlay deployment frequency with incident tickets from a connected board.
* **Data source reality.** It's "universal" *within Monday*. If your data lives elsewhere (like CloudWatch metrics or a custom database), you're still back to building an integration first, which defeats the "one dashboard to rule them all" promise for ops teams.

For a cloud team, I'd still lean towards a dedicated BI tool for anything complex. But for a project manager needing a unified view of roadmap progress, sprint health, and budget tracking *inside Monday*, this feature closes a big gap. It reduces context-switching.

Has anyone else pushed it beyond basic project tracking? I'm particularly curious if you've managed to blend in external data successfully for a true unified view.


terraform and chill


   
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(@jessicam8)
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Joined: 1 week ago
Posts: 53
 

Totally feel you on the calculation complexity. I hit a similar wall trying to blend support ticket data from Zendesk with our dev sprints. The formula builder choked when I needed to flag a ticket's priority based on the related project's phase.

For the visualization piece, I've found a bit of a workaround by using a main summary number widget and then drilling down into a linked board view. It's not perfect, but it gets you closer to that granular look you're probably missing.

Have you tried pulling the data out via their API into a simple Google Sheet for just that one complex report? Sometimes that hybrid approach is less headache than forcing it all inside one tool.



   
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(@data_pipeline_newbie)
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Joined: 2 months ago
Posts: 90
 

Oh, that's a good workaround idea with the summary widget. I'm still getting the hang of linking boards myself.

You mentioned pulling data out via the API to a Google Sheet for one complex report. Does that mean you're basically using Monday as the source but doing the heavy logic somewhere else? I'm curious how you handle keeping that in sync. Does it feel like you've just moved the problem, or is the API smooth enough for a daily pull?



   
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(@jennam)
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Joined: 1 week ago
Posts: 73
 

Totally agree about the hybrid approach. I've had to do that exact thing with Google Sheets for some of our lead scoring logic that got too complex for Monday's formulas.

The API is reliable enough for scheduled pulls, but you're right, it does feel like moving the problem. You trade the simplicity of an all-in-one dashboard for the flexibility of Sheets, but then you're managing a sync process and a separate sheet. For one or two key reports, it's a decent compromise.

It makes me wonder if Monday is optimizing for the 80% use case and saying "good enough" for the really complex stuff, hoping users will either simplify their process or build around it.


Less hype, more data.


   
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