Decision intelligence: engineer the decision, not the dashboard

0:00Welcome to the Leaders Insights Podcast.

0:08Today's episode, Decision Intelligence and Embedded Analytics, Making the Decision in

0:12the Unit of Design.

0:13Every company I talk to has dashboards coming out of their ears.

0:17So why are they all still making terrible decisions?

0:21Because a dashboard is a museum.

0:23It's a beautiful glass case where data goes to be admired and then completely ignored.

0:28The problem isn't that people can't see the numbers.

0:31It's that the numbers show up nowhere near the moment someone actually decides something.

0:35That sounds like a slogan.

0:37Give me the mechanism.

0:38Fine.

0:39Picture a support agent deciding whether to refund an angry customer.

0:43The data that should inform that—lifetime value, refund history, churn risk—lives

0:49in a dashboard the agent has never opened, in a tool they don't have a login for.

0:54So they guess.

0:55The decision happens in the support ticket, but the intelligence lives two departments

1:00away.

1:01That gap is where value quietly dies.

1:04So decision intelligence is just putting the chart inside the app?

1:08That's embedded analytics.

1:10The plumbing that pushes data into the tool where work happens.

1:14Decision intelligence is the bigger idea.

1:17You treat the decision itself as the thing you design around, not the report.

1:21You ask, what recurring choice does this person make, and what would make it better?

1:26Then work backwards.

1:28Most firms do the opposite.

1:30They build the dashboard first and pray someone consults it.

1:34You're being a bit smug.

1:35Plenty of dashboards get used.

1:37Used?

1:38Sure.

1:39Acted on?

1:40O'Reilly's radar surveys have been consistent for years.

1:43A large share of analytics work never changes a single operational decision.

1:49It gets built, presented, admired, forgotten.

1:53And MIT Sloan Management Review has been hammering this since before the AI gold rush.

1:58The bottleneck was never the technology.

2:01It's that nobody redesigned the actual moment of choice.

2:05We spent a decade optimizing the museum, and none on the visitor.

2:09Alright, doesn't decision intelligence just mean let the algorithm decide and call it

2:13a day?

2:14No.

2:15And that's the trap everyone falls into.

2:18The point isn't to automate the human out.

2:20It's to shrink the decision to its real shape.

2:23Most operational decisions are boring and repeatable.

2:26Approve or reject, prioritize or park.

2:30For those, you can encode the logic and let the human handle the weird 5%.

2:35The mistake is automating the messy judgment calls and micromanaging the trivial ones.

2:41People get that exactly backwards.

2:43Give me a number that shows this actually moves the needle.

2:46GBT Labs, and I'll flag it.

2:49They sell the data tooling, so read their figures with one eyebrow up.

2:53Reports that teams embedding analytics into workflows cut the lag between question and

2:57action dramatically.

2:59Cross-check it against something independent before you quote it in a board meeting.

3:04But the direction is right.

3:06The win isn't a prettier chart.

3:08It's compressing the distance between I wonder and I did.

3:12What's the most common way companies get this wrong?

3:14They hire a data team.

3:16The data team builds what it finds interesting, and nobody ever asks the person making the

3:21decision what they actually need at 2 p.m. on a Tuesday.

3:25It's like a chef cooking whatever they feel like and being shocked the customers left

3:29hungry.

3:30So how do you know a decision is worth engineering around?

3:33Three tests.

3:34Is it frequent?

3:35Does it happen constantly?

3:37Is it consequential?

3:39Does getting it wrong cost real money?

3:41And is it currently made blind or no data at the point of choice?

3:45Get all three and you found gold.

3:48A pricing decision made 200 times a day with zero data in the moment beats any executive

3:53dashboard nobody scrolls past.

3:56And the ones that fail the test?

3:58Leave them alone.

3:59Not every decision deserves a data pipeline.

4:02The rare one-off strategic bet.

4:05You're not embedding analytics into that.

4:07You're arguing in a room.

4:08Know the difference or you'll waste a year instrumenting a decision that happens twice

4:12a decade.

4:13Give me the one thing a listener should do Monday morning.

4:17Pick your most expensive recurring decision.

4:20Sit next to the person making it and watch.

4:22If the data they need isn't on the screen in front of them at that exact second, your

4:27dashboard has already failed.

4:29And no amount of polishing it will help.

4:31The museum stays empty.

4:33The museum stays empty.

4:35Sources for today's episode.

4:37Cade Nuggets, The New Stack, O'Reilly Radar, Towards Data Science, MIT Sloan Management

4:42Review, DBT Labs vendor, Data Tooling.

4:46Done.

4:47Want to know where you actually stand?

4:49Take the CDO self-assessment at MBA-training.com.