Bouncing between two or three options is one of the most draining kinds of indecision: A looks best, then B’s one strength pulls you back, and your head is full of fragments you can’t resolve.
The root is usually not “too little information” but never laying them side by side. Have AI build a comparison table across the criteria you care about, each option’s strengths and weaknesses aligned row by row — the trade-offs jump out. It can even lean toward one based on your priorities — not deciding for you, but organizing everything the decision needs.
When to use it
Stuck between a few phones / two offers / several schools / competing plans, drowning in scattered info? Get a clear table across what matters most to you.
How to do it
- Tell it which options you’re choosing between, with each option’s key facts
- List the criteria you care about most (price, commute, growth, reputation…)
- Ask for a comparison table that rates or flags each option per criterion
- Have it recommend one based on your priorities, with reasons
- Push back if unsure: “If I weighted X more, would the answer change?”
Weak vs strong
The left earns you a useless “depends on you”; the right — with the details and your priorities supplied — yields a table you can actually decide from.
Copy-paste prompt
I’m choosing between【A】and【B】(and【C】). The facts:【brief key info for each】. What I care about, in order:【price / commute / growth / vibe…】. Build a comparison table across these, marking which wins each; then recommend one based on my priorities with reasons, and flag one easily overlooked factor that could change the decision.
Worked examples
You get：Turns a vague gut feeling into numbers: you see where B wins and by how much — sometimes the math reveals it was never a close call.
You get：A table putting all three on equal footing — who shoots better, who lasts longer — so you skip stitching together ten review articles.
Level up
- Let it suggest criteria: unsure what to compare? Ask “what dimensions matter when choosing this,” then pick yours
- Add the downside: beyond pros, have it add a column for “biggest risk / worst case” per option
- Two passes: with many options (say 5), have it cut the obvious no’s first, then compare the rest in detail
Common mistakes
- Asking for a verdict without priorities — without your top criteria it can only give a wishy-washy answer
- Thin option info — supply each option’s key facts or it compares on guesswork
- Treating its pick as gospel — it organizes the evidence, but value trade-offs like “stability vs growth” are yours to settle
FAQ
Could the info AI uses be outdated or wrong?
It keeps favoring the same option — is that normal?
Pro tip：Indecision often means you haven’t pinned down what you value most. The table’s real gift is sometimes not the answer, but forcing your priorities into the open.