── ── Industry
Real Estate — Pricing & Price-Reduction Decision
The parent decision-tree maps sequential choices under uncertainty. Pricing and reductions are a decision tree: hold vs reduce, by how much, when — against showing/offer feedback, carrying cost, and market trend, rolling back to expected net proceeds and time-to-sell.
Run Real Estate — Pricing & Price-Reduction Decision on a real problem
Bring something you're actually deciding — free, in the browser.
How it works
The parent decision-tree maps sequential choices under uncertainty. Pricing and reductions are a decision tree: hold vs reduce, by how much, when — against showing/offer feedback, carrying cost, and market trend, rolling back to expected net proceeds and time-to-sell.
When to use it
- a listing isn't selling and the agent must decide list price or a price reduction
- 'should we drop the price', 'how much and when', days-on-market rising, showings without offers
When not to use it
the property is priced right and getting offers (no decision).
Worked example
Real Estate — Pricing & Price-Reduction Decision
The parent decision-tree maps sequential choices under uncertainty. Pricing and reductions are a decision tree: hold vs reduce, by how much, when — against showing/offer feedback, carrying cost, and market trend, rolling back to expected net proceeds and time-to-sell.
Install this skill (free, MIT)
npx skills add deciqAI/knowledge-skillsUseful? Star the repo — stars help other builders find it.
Related mental models
The parent customer-relationship-ladder moves contacts up rungs stranger → advocate.
The parent checklist is a must-not-skip gate.
The parent checklist converts "are we covered?" into a verifiable gate.
The parent loss-aversion-prospect-theory shows losses loom ~2× gains and that framing drives choices.