What INNOVATION& is about
I write for founders, executives, board members, product leaders, strategy teams, and people responsible for new business, transformation, ventures, and growth.
Not because they need another framework.
Because sooner or later, they face the same hard question:
What should we test, scale, stop, defer, or fund before commitment becomes expensive?
That question sits behind almost every serious innovation or transformation effort.
And it is usually answered too late.
This publication is not about creativity for its own sake.
It is not about innovation theater, trend decks, energetic workshops, or strategy language that sounds sharp but decides nothing.
It is about the decisions behind the work.
Before something becomes a roadmap, a budget, a venture, a product, or a transformation program, someone has to decide what is worth believing.
That is where I think the real work begins.
And it is also where the damage usually starts.
What you will find here
I write about:
how to reduce uncertainty before scaling
how to judge evidence before commitment
how to identify weak assumptions
how to decide what to test, stop, defer, or fund
how AI changes the cost of building, but not the need for judgment
how business models shift when the underlying logic of value creation changes
how teams confuse activity with progress
how leaders can make better capital and resource decisions under imperfect information
The common thread is not innovation as a label.
The common thread is decision quality.
Start with these free essays
If you are new here, start with these pieces:
For paid subscribers
Paid essays go deeper.
They are designed for people who need to make or influence real decisions. Not just understand the topic.
Paid subscribers get deeper analysis, decision tools, diagnostic questions, and practical frameworks for evaluating uncertainty before capital, credibility, or organizational energy gets locked in.
The paid work is built around questions such as:
What evidence is strong enough to justify the next investment?
Which assumption should we test first?
When should a project be stopped?
When is an opportunity real enough to scale?
When is AI improving judgment, and when is it only increasing output?
What should leaders ask before funding the next initiative?
Which business model assumption carries the thesis?
Useful starting points for paid subscribers:
The belief behind this publication
Progress under uncertainty does not come from moving faster by default.
It comes from knowing what you still need to learn before you increase commitment.
Speed is useful when the direction is sound.
But speed without judgment just helps you reach the wrong place with better slides.
The real work usually feels slower at the beginning.
You pause.
You clarify the decision.
You name the assumption.
You define what evidence would matter.
You decide what threshold would justify the next step.
Only then does speed become useful.
Then you can test.
Scale.
Stop.
Defer.
Fund.
But without that earlier work, motion starts to look like progress.
And that is where teams get into trouble.
Subscribe
Subscribe to INNOVATION& if you want sharper thinking about decisions under uncertainty.
Especially if your work involves strategy, innovation, product, AI, ventures, transformation, or capital allocation.
The aim is simple:
Better decisions before money, credibility, and organizational energy get locked in.
