Commit 5ee2fe

2026-06-02 07:08:12 lisa: SD C04 Hot Cross Bun activity: surface CHOICE's four data columns and flag 'buns per pack' as a non-criterion Lead the methodology callout with 'four columns of data — but only three are criteria' so the shape is unmistakable. Worked-example table now uses the four CHOICE columns as visible section headers, with student criteria slotted under each. The Fresh and Buns per pack sections appear explicitly as 'dropped — persona toasts' and 'not a criterion — never makes the matrix' — teaching what NOT to put in. Four-moves explainer replaces three-moves: adds the 'never used Buns per pack' negative case so the not-a-criterion lesson lands. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
sd/C04/Activity - Hot Cross Bun Matrix.md ..
@@ 48,32 48,40 @@
- **A scale** (use 0–5).
- **What you deliberately exclude, and why** — *flag these now; they come back in Step 4.*
-**CHOICE's own scoring methodology** (so you can see what you're remixing):
+**CHOICE's review surfaces four columns of data — but only three are criteria.**
-> *Toasted* score = **Flavour 50%** · **Appearance 20%** · **Aroma 15%** · **Texture 15%**
-> *Fresh* (untoasted) score = same four weights, scored untoasted
-> *Price per bun* = pack price ÷ buns per pack
+> 1. **Toasted score** — *Flavour* 50% · *Appearance* 20% · *Aroma* 15% · *Texture* 15%
+> 2. **Fresh (untoasted) score** — same four weights, scored untoasted
+> 3. **Price per bun** — pack price ÷ buns per pack
+> 4. ~~**Buns per pack**~~ — **not a criterion**. It's a fact that feeds *Price per bun*; it doesn't independently decide which bun is better.
>
> *Source: [CHOICE Hot Cross Buns review and compare](https://www.choice.com.au/food-and-drink/bread-cereal-and-grains/bread/review-and-compare/hot-cross-buns).*
-CHOICE's matrix serves "the general hot-cross-bun shopper". *Your* persona is more specific — so you don't have to use those weights, and you can split, drop or add criteria where the persona demands.
+CHOICE's matrix serves "the general hot-cross-bun shopper". *Your* persona is more specific — so you can split, drop or add criteria, but every row of *your* matrix should still trace back to one of CHOICE's three real criteria (or be a clearly-flagged new one).
A worked design for the persona *"a family buying for traditional Easter breakfast"*:
-| Your criterion | Weight | Sits under (CHOICE element) | Method (0–5) |
-|---|---|---|---|
-| Flavour (toasted) | 30% | *Flavour* — CHOICE weights 50% of toasted score | Blind panel rating |
-| Traditional fruit & spice profile | 20% | Your sub-judgement of *Flavour* — chocolate bun caps near 1, that's the persona showing | Blind panel rating |
-| Texture (toasted) | 15% | *Texture* — CHOICE 15% | Blind panel rating |
-| Aroma (toasted) | 10% | *Aroma* — CHOICE 15% | Blind panel rating |
-| Appearance | 10% | *Appearance* — CHOICE 20% | Rating |
-| Value | 15% | *Price per bun* — Woolies $0.73 ≈ 5/5; Coles $1.38 ≈ 2/5 | Price → 0–5 |
-
-Total weight: 100%. Notice three moves compared with CHOICE's matrix:
-
-1. **Reweighted and split *Flavour*.** CHOICE rolls all flavour into one element at 50% of the toasted score. We split it into *Flavour* (30%) and a dedicated *Traditional fruit & spice profile* (20%) sub-judgement — because the persona cares specifically about traditional flavour, not just "tastes good".
-2. **Added *Value*.** CHOICE reports price per bun but doesn't fold it into the Expert Rating. For a family buying for breakfast, $0.73 vs $1.38 matters.
-3. **Dropped CHOICE's *Fresh* score.** This persona toasts the buns — fresh appeal isn't the deciding factor here.
+| Your criterion | Weight | Method (0–5) |
+|---|---|---|
+| **Under CHOICE *Toasted score* →** | | |
+| Flavour (toasted) | 30% | Blind panel rating — *Flavour* sub-element |
+| Traditional fruit & spice profile | 20% | Blind panel rating — your own sub-judgement; chocolate bun caps near 1 |
+| Texture (toasted) | 15% | Blind panel rating — *Texture* sub-element |
+| Aroma (toasted) | 10% | Blind panel rating — *Aroma* sub-element |
+| Appearance | 10% | Rating — *Appearance* sub-element |
+| **Under CHOICE *Price per bun* →** | | |
+| Value | 15% | Price → 0–5 (Woolies $0.73 ≈ 5/5; Coles $1.38 ≈ 2/5) |
+| **Under CHOICE *Fresh score* →** | | |
+| *(dropped — persona toasts)* | — | — |
+| **Under CHOICE *Buns per pack* →** | | |
+| *(not a criterion — never makes the matrix)* | — | — |
+
+Total weight: 100%. Four moves to notice:
+
+1. **Unpacked *Toasted score*.** CHOICE collapses Toasted into one number; we broke it into its four sub-elements (*Flavour*, *Texture*, *Aroma*, *Appearance*) so each earns its own weight — and added a *Traditional fruit & spice* sub-judgement the persona demands.
+2. **Kept *Price per bun* in, as *Value*.** CHOICE shows it but doesn't fold it into its Expert Rating. For a family buying for breakfast, $0.73 vs $1.38 matters.
+3. **Dropped *Fresh score*.** This persona toasts the buns; fresh appeal isn't the deciding factor.
+4. **Never used *Buns per pack*.** It isn't a criterion — it's already inside *Price per bun*. Don't let raw data columns sneak into your matrix as if they were criteria.
*Deliberately excluded:* packaging — it doesn't change how the bun eats, so it can't help one bun beat the other on this matrix. (Hold on to this — Step 4 picks it back up.)
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