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Question

Best practice to monitor table data completeness

  • May 11, 2026
  • 5 replies
  • 43 views
M
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Hi,

I currently use Airtable as an HR system. I’d like to build an admin dashboard to monitor data completeness, to help me spot fields that are never or seldom used. 

The objective is simple: try and keep the tables as simple as possible, avoid redundant and useless fields. Complex tables, likely mean complex UI, which likely mean bad user experience. I want to avoid that.

I’ve done a bit of searching but impressively enough I didn’t find any recommended solution or best practice. 

One option is to put a bunch of calculated fields that tell me if another field is filled or not. I’d really like to avoid that.

I’m curious to know how others do it.

    5 replies

    Milan_Automable
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    A simple way to accomplish this could be to export your bases as Excel files and then drop them into an AI (such as Claude or ChatGPT) with data analysis enabled; then prompt them to do what you ask here.

    Also look into Zite (by Fillout), which you can connect your Airtable with one click, ask it to build this out as a dashboard and then you can monitor it.

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    Milan @ Smoothwork.ai - We automate the boring so you can focus on the exciting. Book a free strategy call with me.

    M
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    ​@Milan_Automable thx for your answer. In ChatGPT this can be done even better, cause there’s an Airtable app for ChatGPT that allows realtime reading and editing of Airtable data. But it still requires interactions and potentially lots of reading to spot issues. I would have preferred a dashboard that can be consulted any time, preferably in Airtable. It could help both admin and end users to assess the reliability of the data they have.

    Milan_Automable
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    I understand - for an real-time dashboard solution, I suggest checking out the second part of my answer, Zite. It will be relatively easy to set up a dashboard there with Airtable data.

    You can have any one accessing it without extra costs. 

    With Airtable Interfaces - off the top of my head I think this would realistically require some complex scripting and automation, so I think the complexity of this would be higher than the other two.

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    Milan @ Smoothwork.ai - We automate the boring so you can focus on the exciting. Book a free strategy call with me.

      Holly Nilson-Clay
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      The simplest native approach I’ve seen work well for this is a dedicated “Data Quality” view in each table, filtered to only show records where key fields are empty. It’s low maintenance, easy to scan quickly, and keeps the visibility directly inside Airtable rather than needing a separate reporting layer.

       

      If you want to take it one step further, you can also add a lightweight completeness formula or status field and surface that in an interface summary for admins. Gives you a quick signal on overall data health without adding a lot of complexity to the base itself.

       

      Holly @Simple Stack

      Do More With Less - https://www.simple-stack.com/
      TheTimeSavingCo
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      Might want to check out this script by ​@Alexey_Gusev 

       

      Adam, Airtable Consultant - thetimesaving.company
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