From map to decision

Why this update: the study was building a strong instrument, aimed at the wrong terminal output

On 17 July we audited the whole study against the outcome fixed in the 29 June kickoff: DETERMINANT's next plan gets built market-in, which requires two upstream decisions, what type of brand DETERMINANT is and what price tier it sits at, plus the investment required to hold that position. The audit found the instrument in good shape and the aim drifted. Six findings, each with its receipt:

1. The study stopped converging.The original plan ended with "August: positioned recommendation delivered into the 3-year plan." Later scoping ("no recommendation at this stage", "rolling library, no fixed end date") deleted that step. The study terminated in a map plus an open-ended library, with no point where a call gets made.
2. Only half the question was being served.Price is the X axis of every view. No instrument existed for the brand-type decision at all.
3. The hypotheses were aimed at a market no longer on the roster.H2 tests a band defined by Everlane, Bonobos and LV. All three were dropped when Dee confirmed the shortlist on 16 July. The roster changed; the hypotheses did not.
4. H1 was promoted from instinct to constraint without a test."No viable position below the current tier" was hardcoded into the map's price bands as "closed to DETERMINANT" while the market size of that band reads null. It is the only hypothesis nothing could kill.
5. The decisive number ran on the softest instrument in the study.The spend required to hold each tier was a 1-to-5 judgment score calibrated against listed-company S&D ratios, which mostly measure rent and store payroll, not brand investment.
6. The feasibility screen had no input."What is DETERMINANT's core competency, concretely" has been an open question since kickoff. Without it, no option can be ruled out and every door looks available.

None of the evidence is wasted. The staff survey (n=158), the confirmed roster, the price benchmark discipline and the map engine all stand. v3 re-aims them at the decision.

The core question, reframed: marketing is one way to hold a price, and it is the one DETERMINANT can least afford

The old question assumes price is held by buying marketing. Our own shortlist falsifies that assumption four times over. Price is held by different mechanisms, paid in different currencies:

DETERMINANT China runs a 62.9% gross profit against a 70% healthy bar, with a 2025 EBITDA loss of RMB 15M. The media mechanism is the one mechanism the P&L cannot fund. The study had spent its full weight on exactly that mechanism.

What this changes in the map. The invented "brand + creative investment" score (1 to 5) is deleted as an axis. Gross margin, a measured number, replaces it. The default view becomes shirt take-home price x gross margin, colored by mechanism: at every price point, who holds margin, and by what means. DETERMINANT's dot sits at 62.9% and the viewer can see at a glance which mechanisms clear it.

This also dissolves a problem the study could not solve: a single "spend to hold the tier" number never existed, because each mechanism is paid in its own currency. Fabric R&D, product engineering, channel capital, media. The doors below price each in its own terms.

Two decisions, two surfaces: brand type is chosen once, price tier is chosen per market

Dee's kickoff named two upstream decisions. v3 gives each its own surface and its own altitude:

• Type is global. One brand, one model, one message, decided once. Surface: Map B, a model taxonomy where rows are ways of running a brand, not brands. Dee's original spectrum returns here: her rungs were always operating models wearing price clothing. Everlane, Bonobos, Quince and Warby Parker come back as model exemplars on this surface, while staying off the competitive map, where nobody cross-shops them.
• Tier is regional. Decided per market inside the chosen model. Surface: Map A, the competitive map on the confirmed roster (27 China + 11 APAC brands, plus DETERMINANT and PYE). Ralph Lauren proves the pattern: an outlet brand in the US and an aspiration brand in China (41 staff mentions), same model, same message, different tier.
• Regional flex is bounded by the model. Factory-direct transparency dies if it prices 2x abroad; function brands like Descente carry large regional premiums comfortably. Same-item cross-market checks (Charles Tyrwhitt: RMB 875 China vs 741 US equivalent) measure the ceiling instead of guessing it.
• APAC becomes a screen column, not a second study. The APAC field map ships as built. The door analysis runs China-first, and every door answers "does this survive in HK and Singapore, at what price gap." The cross-shop data already shows two disjoint markets: zero mainland domestic brands named by APAC staff, zero APAC mentions of the premium outdoor cluster.
• The muse exercise sits downstream. The chosen door constrains which brand characters are even available. This study hands the muse workstream its constraint set; it does not choose the character.

The five doors: every viable answer, pre-registered before the data lands

The mechanisms that hold price are the type options. Each door is written down now, priced and screened next, so the data confirms or kills rather than decorates. Expected picks get logged before collection, the same pre-registration rule already used in the price benchmark.

The screen: five numbers per door, and a designed way out if all doors fail

Each door must show, in its own currency:

• Gross margin the model needs, against DETERMINANT's 62.9% today.
• Cost to run, in the model's own currency: fabric R&D, product engineering, channel capital, or media.
• Years to proof, against a 3-year plan. A door that takes 13 years is not a 3-year option, whatever its end-state economics.
• APAC survival: does the model work in HK and Singapore, and how much regional price flex does it permit.
• Competency verdict: can DETERMINANT structurally run it. This requires the core-competency answer, which we ask Dee to sharpen on Tuesday.

If every door fails the screen, that is a finding, not a failure. The 2025 loss driver was a RMB 5M celebrity livestream with too little inventory: an execution problem no positioning choice fixes. The per-brand price-vs-perceived-value diagnostic already in the study decides the question: if DETERMINANT sits below its perceived value, the problem is underpricing and operations, not position. The memo is allowed to reach that verdict.

The memo the doors produce

One section per live door, one snapshot per claim, map attached as the appendix:

• The field: 35 brands on shirt take-home x gross margin, DETERMINANT's dot at 62.9%.
• The D1 kill or case: what the mid-high volume fight costs against our cost base.
• The D2 gate: Biemlofen at 79% vs DETERMINANT at 62.9%, the margin bridge, and the 13-year clock.
• The D3 opening: formality x growth, with the outdoor wallet leak drawn as pressure on the middle.
• The D5 case: the price-integrity view. Discounting is value already leaking; DETERMINANT is already behaving like a value brand without pricing like one.
• One brand, two businesses: DETERMINANT China vs DETERMINANT APAC on identical axes.

Changelog: what v3 changes in the build

What stays

The staff survey (n=158) and everything it settled. The Dee-confirmed roster (27 China + 11 APAC + own brands). The price benchmark discipline: three anchor items, ticket vs take-home, pre-registered expectations. The schema-driven map engine, which absorbs all of the above as data changes only. The eight-brand dive shortlist, re-tasked rather than replaced.

Three points to confirm with Dee on Tuesday

Each changes something previously aligned, so each is put forward for confirmation rather than absorbed silently.

Timeline: two weeks, one gate

Tuesday is a re-contracting conversation, not a progress report: twenty minutes, one page, no data required. Every input above already exists in the study's own files. If the direction changes on Tuesday, it changes with two weeks in hand rather than in the workshop.