I'm done with dashboards, and likely you should be too

In infrastructure we build dashboards. And then we build systems to tell us something wrong, and when something is wrong we go and look at the dashboard.<p>Looking at dashboards all day to spot issues is a (pointless) nightmare.

&quot;I&#x27;m done with viewing my useful information.&quot;

&quot;...and likely you should be too&quot;. That made me not look further. I disrespect people telling others what they &quot;should&quot; be doing.

His ad-tech DSP example is horrible. In reality, advertisers care about (in order of importance)<p>- Target audience reach (measured in millions of people)<p>- Cost of engagement (CPA, CPM, etc)<p>- Engagement metrics for verification (clicks, views, etc; so you can send bills to your clients and not worry about claims and lawyers)<p>The junk he listed is probably the <i>least</i> interesting information to an advertiser. All of it is technical details that affect your margins as an intermediary, something your clients couldn&#x27;t care less about.

I&#x27;m done with articles shoving unsettling AI nightmares in my face.

&gt; Toss the results in a report the contributors can access with links to supporting dashboards, then watch your data platform costs drop, contributor productivity increase, and customer retention get longer.<p>So the answer is to use a dashboard.

Dashboards are really calls to action hidden in donut charts. I&#x27;d rather just see a text message telling me when to start panicking and why.