Zero Point Strategy isn’t just a name, it’s a principle that guides how we view innovation: to truly build and move forward, we need to start from zero: zero bias, zero assumptions, zero ego, zero reliance on the way things have always been done. That mindset unlocks massive potential: not by adding new line items, but by rethinking how you’re using the resources you already have. 

Here’s how you can innovate cost-free across the organization:

In a world of infinite information, personalization, identity, and nuance, the very idea of a singular “normal” consumer is obsolete.

Even among tight demographic segments — say, suburban dads in their 30s — there’s enormous diversity in the media they consume, the causes they care about, how they spend money, and how they see themselves.

AI is the topic of the moment. Across industries and functions, leaders are exploring how to use it to automate tasks, generate content, and analyze data faster than ever before. It’s incredibly powerful, but it also opens up risk that many people don’t understand.

The risk I’m talking about isn’t some sci-fi fantasy that the AI “goes rogue” or replaces human jobs overnight. It’s something more fundamental and relevant to today: model collapse.

Here’s the truth: to consumers, most things are “meh.” And that’s not necessarily a bad thing.

I’ve worked with marketers and innovators across industries from startups to Fortune 100s, and I’ve seen underdog projects surge in the marketplace, and I’ve seen top scoring material completely flop.

Instead of fearing ambivalence, we should mine it. Lean into the indifference, because somewhere inside that shrug is the clue to what’s missing — and how to fix it.

People in business are also building products and strategies on shaky ground and flashy trends. It’s time to call it what it is: biased thinking masquerading as insight.

I’m going to break down two of the biggest offenders with the hopes that it will help you better navigate choppy data waters: recency bias and anecdotal evidence.