Print/display the eight A4 pages, or use their exact linear/tactile/no-print readings. Prepare five large paper tokens: three book outlines and two table outlines. Keep named speaker cards apart from the anonymous choice tokens. All source people, place, choices and draft are wholly invented. Do not run a real class vote, collect identifiable preferences, change a real space or claim a physical access outcome for this pack.
- A · Paper Hall choice board: “Five made-up visitors each chose one feature for a pretend afternoon: three chose the quiet book nook; two chose the broad making table. The board does not name the five visitors or say why they chose.” The A4 pictorial board shows three separate book tokens and two separate table tokens; one token equals one fictional choice, not every visitor to a real place. No actual survey was run.
- B · Ada's note: “I choose the quiet book nook because I like looking at picture books there.” This individual note says Ada's own reason. A does not show whether Ada's choice is one of its three anonymous book tokens; do not silently match them.
- C · Bo's note: “I choose the broad making table because I can spread out my paper model there.” This individual note says Bo's reason. A does not identify Bo among its two anonymous table tokens.
- D · helper Neri's proposed change: “Three chose the nook and two chose the table. Everyone wants quiet, so we should close the making table tomorrow.” The first sentence matches A. The “everyone” and closure conclusion do not follow: two chose the table, and A does not tell why anyone chose. The draft is a proposal, not permission, a decision, action, benefit or outcome.
Use count–voice–unknown mat to keep A's count, B/C voices and missing information apart. Use before-change question mat to ask who uses the table, what a proposed change could affect, whose words are missing, and who may decide locally. A proposed question is not data already gathered. A teacher can use private scribing, AAC, raised cards or oral reading; no child's personal preference or diagnosis is needed. The fresh cases in checks use different people, features and token patterns.