WUNN Labs

The pace of change isn’t slowing down: it’s compounding.

Markets, tools, and expectations now evolve faster than most organizations can absorb. But the firms that adapt quickest aren’t just surviving that pace, they’re widening the gap.

A smart change culture is the new leverage. And to change intelligenctly, you need to have rigid control of your data and how it feeds decision making.

For years, change was treated as something to manage. A reorg, a rollout, a new system. You implemented, stabilized, and moved on. That rhythm doesn’t exist anymore. Every process is temporary. Every playbook has a half-life. Next month: who knows what OpenAI will release.

We get frequently asked: how should we use AI at our business? The answer is more cultural than tactical. AI is accelerating the need for ambition and adaptation. If your reaction to AI is to install tool X to solve problem Y, you need to be prepared for a new answer in 3 months. And you need a system for evaluating those choices.

The first thing every ops team builds is a dashboard. The last thing they build is a habit of looking at it.

Dashboards were meant to make companies smarter. But somewhere along the way, they became the end of the feedback loop instead of the beginning.

Once a chart exists, we assume learning has happened. We stop asking questions and start monitoring instead of reasoning.

The truth is most dashboards don’t teach you anything new. They show activity, not decisions. They answer what, but not why or what next.

And because they rarely change, they quietly freeze how teams think … or more commonly, people stop checking them.

Real feedback loops aren’t charts. They’re conversations: data → interpretation → action → reflection → revision. A dashboard can start that process, but it can’t sustain it.

If your dashboards aren’t changing, it’s probably not because the business is stable. It’s because your learning stopped.

The problem with dashboards and reports is that decision makers need to see and feel the data.

In our recent JEDAS upgrade, we launched spreadsheet provenance — where reports come packaged with Excel or Google Sheet references for every table behind a chart.
It means decision makers can buy not just the answer, but the reasoning.

Spreadsheets are still the native language of analysis.
They let people trace how numbers connect, adjust assumptions, and re-run logic in their own hands.
When that transparency is built in, people stop questioning the data and start discussing the implications.

The goal may be to replace dashboards, but not to replace reports. But we need to give them lineage.
When every chart links back to a live, inspectable sheet, context survives contact.
And that’s how trust is built: one cell at a time.