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Ease vs Power: With Power Comes Complexity

Written by: Noah Learner Tags: critical thinking, newsletter, data

Published: Feb 2, 2026  |  Last Updated: Feb 17, 2026

You know when you just need one piece of data, but by the time you're done making the dashboard, it has as many readouts and colors as the bridge on the Enterprise in Star Trek?

So often we set out to do one thing, and like giving a mouse a cookie, we end up with many more requirements than we actually need. Whatever you call it, overengineering or scope creep; it's a slippery slope that turns into a straight up waterslide as you add more stakeholder input into the mix.

Ease vs Power

It's about ease vs power. We seek to build something powerful, but with more power comes more complexity. And more complexity doesn't always mean better decisions.

Barry Schwartz is a psychologist who authored the book The Paradox of Choice in 2004. He dives deep into the idea that more is actually less. 

According to the Decision Lab, choice overload can "cause us to delay decision-making," because "considering the many options available is taxing on our cognitive systems." 

What's more, without feeling alignment and when the tasks feel difficult or important, we face even more paralysis, this study from the Journal of Economics, Finance and Accounting Studies shows.

The risk is that we get have too many numbers to look at that we're trying to control, which all feel very important, and somehow also feel a bit incomplete because we'll never have perfect data. 

We all have constraints; in time, budget, resources. In the early days we have to ask ourselves, "What is the least amount of information I need to make a decision?"

Complexity for complexity's sake doesn't serve us

It may make us feel like we're doing "real work" when we build intricate dashboards with seventeen different data sources and custom visualizations.

But the clients and stakeholders who actually need to make decisions from data just want to know two things: Are we moving in the right direction? What should we do next?

As we observe and define the next set of indicating metrics in our new AI-first world, seek to break down the simplest view so you have the minimum needed to move forward. 

It's often a lot less granular, and a lot more directional, than you think. For example, the 70/40 rule says that of the data available you only need 70% of this information to make a good decision, fast. 

The "Minimum Viable Metric" set

Start with two core questions:

1. Is the right traffic finding us? (Quality over quantity)
2. Is that traffic taking meaningful action? (Conversions, engagement)

You can always add more sophisticated tracking later. But if you can't answer those two questions clearly and quickly, no amount of additional data is going to help you make better decisions.

The best SEO dashboard is the one you'll actually use. Keep it simple, and keep it focused on three key things or less. When you resist the urge to turn it into the bridge of the Enterprise, you will be able to make better decisions overall.