# Open Strategic Decisions — the live inventory

This is the spine that makes the course *yours*. Every lesson's "bring it back" rep pulls a decision from **this list**, not from a made-up scenario. Every entry names the real counterparties and what *they* optimise — because the most expensive mistake (Lesson 02) is filling their cells from your chair.

**How to use it**
- Before a rep, pick the row whose lesson matches — or the one that's most *live* right now.
- When a decision resolves, move it to **Resolved** and open a `learning-records/REVIEW-*.md` (see [REP-TEMPLATE](learning-records/REP-TEMPLATE.md)). That back-half review is what calibrates you over months.
- Keep it honest. `(confirm)` marks a number/fact I inferred — replace it with the real one.

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## Live now (act within weeks)

| # | Decision | The other player(s) → what they optimise | Best-fit lesson | Status |
|---|----------|------------------------------------------|-----------------|--------|
| D1 | **Skull-base course sponsorship ask** — close the ~R$41k gap (course Jul 13–15 HSJ/Moov → SBCBC Jul 16–17 Gramado) | Device/pharma sponsors → **reach per real**: qualified surgeon eyeballs, brand adjacency, lead capture — *not* your margin | **10 Bargaining/BATNA** + **07 Commitment** | OPEN |
| D2 | **Particular pricing floor** — hold cranial ≥ R$30k; spine floor pending Sami | Prospective patients & referrers → price as a **quality signal** + convenience; some shop on price | **07 Commitment** (credible no-discount) + **09 Signaling** | OPEN |
| D3 | **Ads vs the competing clinic** on shared keywords (Erion ~0 conv = intent play; Samilly 3 conv, loop closed) | Rival clinic bidding same terms → **cost-per-booked-consult**; a salaried/volume clinic doesn't fear a bid war | **04 Nash** (auction PD) + **08 Repeated** (tit-for-tat) | LIVE |
| D4 | **Convênio / payer matrix** — which plans to accept, at what negotiated rate | Payers → **cost containment + throughput**; they hold volume, you hold scarcity/outcomes | **10 Bargaining/BATNA** | OPEN |

## Recurring / structural (design the rule, not the move)

| # | Decision | The other player(s) → what they optimise | Best-fit lesson | Status |
|---|----------|------------------------------------------|-----------------|--------|
| D5 | **Referral incentive structure** — how to reward referrers without cheapening the relationship | Referring physicians → **their patients' outcomes + their own reputation/reciprocity**, not cash | **11 Mechanism design** | OPEN |
| D6 | **SlideCraft pricing tiers** (Free / Pro $29 / Expert $59) as a self-selecting menu | Users → **value-for-spend**; the menu should let each type sort itself | **09 Screening** | LIVE |
| D7 | **HSJ / hospital throughput & OR access** negotiation | Hospital → **throughput + liability minimisation**, not your revenue | **02 payoffs** discipline + **10 Bargaining** | RECURRING |
| D8 | **Agent-fleet incentives** — verify/refute rules so honest output is the self-interested output | Sub-agents/tools → whatever the rules reward; design so truthful = optimal | **11 Mechanism design** (capstone) | LIVE |

## Resolved (score them — this is the calibration loop)

_Move rows here when they resolve, then write a `REVIEW-*.md`. Empty for now — first resolution is the point._

| # | Decision | Predicted outcome | Actual outcome | What the matrix got wrong | Review |
|---|----------|-------------------|----------------|---------------------------|--------|
| — | — | — | — | — | — |

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*Grounded in real facts as of 2026-07-01; `(confirm)`-tag anything you tighten. When the mission tilts clinical, add organ-allocation / kidney-exchange as a D-row — it's the bridge to Lesson 11.*