In this series, we've been working through a structured approach to making better decisions. We started with The Decision Intelligence Paradox, then explored why AI transformation fails when the outcome isn't clear in The Outcome Problem, and showed how to define one in The Outcome Solution. With the outcome defined — the clear picture of what success looks like — we now need something to evaluate. That's where options come in.
An option is simply a choice you can make in order to achieve the outcome. At this stage, we're not yet looking at what's important, what the trade-offs are, or which option is "best." We're establishing the decision space — the set of meaningfully different paths that everything downstream will be evaluated against. This step will feel familiar. Generating options is something most teams already do well. The reason it matters here is structural: without a well-defined decision space, there's nothing to measure priorities against, nothing to model risk for, nothing to analyze.
Identifying Options
This is the creative part of the process, and ideally a collaborative one. Generating options calls for divergent thinking — casting a wide net, brainstorming freely, and resisting the urge to judge or filter too early. When people brainstorm together in real time, you get creative compounding: one person's idea sparks a new angle from someone else, and the output builds beyond what any individual would produce alone. Get ideas on the table. Explore different angles. Ask "what if" without immediately asking "but how." Aim for options that represent genuinely different approaches — not minor variations of the same idea. The list you produce at this stage is preliminary — a working list, not the final set you'll carry through to evaluation. Give yourself permission to include options that feel unconventional or incomplete. Some of the best solutions start as rough, half-formed ideas.
Decision Space
A decision space is the set of meaningfully different paths available once the outcome is defined.
Options Are Revisitable
One of the most important things to understand about this process is that it's a loop, not a straight line. You can come back to options at any point. As you move through evaluation — examining priorities, running analytics, assessing risk — you'll inevitably learn things that spark new ideas or make you rethink earlier ones. New information can and should feed back into your list. You might add options you hadn't considered, remove ones that no longer make sense, or redefine existing ones based on what you've learned. The process is designed for this kind of iteration.
Hybrid Options
Some of the strongest options aren't the ones you come up with in the first brainstorm — they emerge later as combinations of earlier ideas. As you evaluate individual options and see their strengths and weaknesses, you can merge the best aspects of two or three into something better. That's the loop working as intended.
Screening Options and the Role of Priorities
At some point, you'll need to move from generating options to evaluating them. That evaluation involves measuring each option against your priorities — analyzing costs, schedules, and risks to understand the trade-offs. But doing that level of analysis for every option on a long list may not be practical. If you've generated ten or more, you'll likely need to filter them down first.
This is where priorities become essential — but not priorities as most organizations define them. When leaders say "AI transformation is priority one and cost reduction is priority two," that's not prioritization. It's sequencing. It tells you the order of execution, but it hides the why — and more importantly, it hides what each stakeholder actually holds as important. Every stakeholder is incentivized differently: the CEO may value competitive positioning, the CFO capital efficiency, and the front-line worker job clarity. Those forces don't disappear just because they weren't surfaced. They drive behavior whether you can see them or not. In the next article, we look at what happens when those forces stay invisible — and what it takes to bring them into the open.
About the Author
