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Get a Second Opinion Without Starting Over

Explore every option and its consequences in parallel. When you switch directions in a chat, you lose the previous thread. In a tree, every path stays open until you're ready to choose.

Map your decision See example ↓

See it in action

A real decision map of someone choosing a reliable economy car under $28k.

Open the full map

How it works

Decisions feel hard when you can’t hold all the variables in your head at once. A mind map externalizes the complexity so you can see the full picture instead of ping-ponging between options.

Frame the decision. Describe what you’re deciding and the options you see. The AI maps each option with its key trade-offs, risks, and assumptions so you start with a clear landscape.
Explore consequences. Branch into each option to understand second- and third-order effects. “If I buy, what happens to my savings rate?” “If I rent another year, what does the market do to my position?” Each branch adds depth.
Surface hidden factors. Fork new branches to uncover things you haven’t considered. “What emotional biases are at play?” “What would I advise a friend in this situation?” These branches often reveal the real decision underneath the obvious one.
Clarify your criteria. After mapping the full tree, rank what matters most. The decision usually becomes obvious once you know whether you’re optimizing for flexibility, security, growth, or something else entirely.

Why branching matters for decision making

Most decision frameworks — pros/cons lists, weighted matrices, gut checks — are linear. They flatten a multi-dimensional problem into a single axis. But real decisions have nested dependencies: choosing option A changes what’s available in options B and C.

Mind maps preserve that structure. You can trace a decision through its consequences, loop back to explore alternatives, and see where different paths converge or diverge. The result isn’t just a choice — it’s a map of your reasoning that you can revisit if circumstances change.

Example

Someone deciding whether to accept a job offer in a new city starts with two branches: accept or decline. Under “accept,” they explore cost of living, social impact, career growth, and partner considerations. Under “decline,” they map staying put versus continuing the job search. A branch under “accept” — “what if my partner can’t find work there?” — surfaces a dealbreaker they hadn’t articulated. The mind map doesn’t make the decision, but it makes the important factors visible.

For deeper exploration, see career planning for professional decisions, or financial planning for money-related trade-offs.

Now try it yourself

Help me choose a reliable economy car under $28,000

Three decisions stack here: new versus used, which brand, and how to pay. For reliability under $28k, the Toyota Corolla, Mazda3, and Subaru Impreza all rate well. New buys peace of mind and a warranty. A 2-3 year old used one saves the steepest depreciation. Financing versus cash comes down to the rate you can get.

New versus a 2-3 year old used one, which is the better value?

A used car 2-3 years old has already taken the biggest depreciation hit, roughly 30-40% of the sticker price, so you get most of the life for far less money. The tradeoff is a shorter remaining warranty and unknown prior care. Buy used from a certified pre-owned program to get some of that warranty back.

New versus a 2-3 year old used one, which is the better value?

Lean new if you keep cars 8+ years and value the full warranty and latest safety tech. Over a long hold, the per-year cost of new and used converges, and you avoid inheriting someone else's neglect. The used discount matters most if you tend to trade up every few years.

What should I actually compare beyond the sticker price?

Total cost of ownership: insurance quotes per model, real-world fuel economy, expected maintenance over five years, and resale value. A slightly pricier car that holds value and sips fuel often costs less to own than a cheaper one that depreciates fast and drinks gas.