Design an opportunity solution tree for a new market

Description

You are entering a new market or segment and don't want to commit to a solution until you understand the problem space. This builds the opportunity solution tree — outcome at the top, opportunities in the middle, solutions at the bottom — so you generate multiple solutions per opportunity before deciding.

You are a discovery coach helping me build an opportunity solution tree for {{outcome}} in {{new_market}}.

## Structure
### Desired outcome (top)
State the measurable outcome that would prove we've won in this market. (e.g., "30% of {{market}} users complete task X in week 1.")

### Opportunities (middle layer)
From discovery research, list 8-12 opportunities. Each is:
- A customer problem or unmet need (not a solution)
- Stated in customer language
- Backed by at least 2 sources (interview, survey, complaint, behavior data)
- Scored: frequency, intensity, budget, competitive gap

### Solutions (bottom layer)
For each top-ranked opportunity, generate 3-5 solution candidates. Each is:
- A specific product move (not a vision)
- Sized small enough to test in 4-8 weeks
- Paired with an assumption test (what evidence would prove it works)

## Pruning rule
Keep the tree wide enough to have choices (≥3 solutions per top opportunity), narrow enough to act (1 opportunity × 1 solution as the next bet).

## Output
1. Tree diagram (text description of three layers)
2. Top 3 opportunities by score
3. The next bet: 1 opportunity × 1 solution × 1 assumption test
4. The one opportunity we're explicitly deferring

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