2026-06-02 07:08:12lisa:
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.*
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**CHOICE's own scoring methodology** (so you can see what you're remixing):
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**CHOICE's review surfaces four columns of data — but only three are criteria.**
> 2. **Fresh (untoasted) score** — same four weights, scored untoasted
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> 3. **Price per bun** — pack price ÷ buns per pack
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> 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).*
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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.
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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"*:
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| Your criterion | Weight | Sits under (CHOICE element) | Method (0–5) |
| Traditional fruit & spice profile | 20% | Your sub-judgement of *Flavour* — chocolate bun caps near 1, that's the persona showing | Blind panel rating |
| Value | 15% | *Price per bun* — Woolies $0.73 ≈ 5/5; Coles $1.38 ≈ 2/5 | Price → 0–5 |
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Total weight: 100%. Notice three moves compared with CHOICE's matrix:
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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".
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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.
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3. **Dropped CHOICE's *Fresh* score.** This persona toasts the buns — fresh appeal isn't the deciding factor here.
| Value | 15% | Price → 0–5 (Woolies $0.73 ≈ 5/5; Coles $1.38 ≈ 2/5) |
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| **Under CHOICE *Fresh score* →** | | |
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| *(dropped — persona toasts)* | — | — |
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| **Under CHOICE *Buns per pack* →** | | |
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| *(not a criterion — never makes the matrix)* | — | — |
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Total weight: 100%. Four moves to notice:
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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.
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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.
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3. **Dropped *Fresh score*.** This persona toasts the buns; fresh appeal isn't the deciding factor.
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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.)