Commit 558fe9

2026-06-02 07:04:11 lisa: SD C04 Hot Cross Bun activity: anchor Step 1 worked-example matrix to CHOICE methodology Each criterion now shows the CHOICE element it sits under (Flavour 50%, Appearance 20%, Aroma 15%, Texture 15%, Price per bun). New CHOICE methodology callout shows the source weights students are remixing. 'Three moves vs CHOICE' explainer makes the design decisions explicit: split Flavour into Flavour + Traditional, add Value, drop the Fresh score (persona toasts). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
sd/C04/Activity - Hot Cross Bun Matrix.md ..
@@ 48,19 48,36 @@
- **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):
+
+> *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
+>
+> *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.
+
A worked design for the persona *"a family buying for traditional Easter breakfast"*:
-| Criterion | Weight | How you'll measure it | Notes |
+| Your criterion | Weight | Sits under (CHOICE element) | Method (0–5) |
|---|---|---|---|
-| Taste (toasted, served warm) | 30% | Blind panel rating, 0–5 | Compare to CHOICE *toasted* score afterwards |
-| Texture & freshness | 20% | Blind panel rating | Compare to CHOICE *fresh* score |
-| Traditional fruit & spice flavour | 25% | Blind panel rating | The chocolate bun can't really score above 1 here — that's the persona showing |
-| Value | 15% | Price per bun → 0–5 | Woolies $0.73 ≈ 5/5; Coles $1.38 ≈ 2/5 |
-| Appearance | 10% | Rating | |
+| 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.
*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.)
-Look at what the persona just did. Weighting *traditional flavour* at 25% pulls Coles Fruit into direct contention with the higher-overall-rated Woolies Chocolate. The final winner now depends on the panel's actual taste scores — exactly as it should. **Different persona, different shape of decision — same data.**
+Look at what the persona just did. Weighting *traditional flavour* at 20% — *and* dropping CHOICE's fresh score, *and* pulling value into the rating — compresses CHOICE's 10-point lead (95 vs 85) into a contest the panel's own scores will decide. **Different persona, different shape of decision — same data.**
---
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9