EaseBrainACADEMYGood leadership makes the reasoning visible, especially when a team disagrees.
A fictional community centre has 100 tokens. Allocate them between water storage, study access and food-waste reduction. Explain your trade-offs, then revise the plan when the budget falls to 80.
A position states what someone wants. An interest explains why it matters. Ask what problem a request solves before negotiating over the proposed solution. Summarise the other person’s concern accurately.
List three stakeholders and the interests behind their requests.
Choose criteria before choosing a favourite option. Compare cost, access, benefit and maintenance. Use the same criteria for every proposal and label uncertain estimates.
Make a two-option comparison and keep the total within 100 tokens.
When a constraint changes, reopen the reasoning rather than defending the old answer. Record who is responsible for the revised plan and what concern remains unresolved.
Revise for an 80-token budget and record the reason for each change.
Water 40 + study access 35 + food waste 25 = 100 tokens. A revised allocation of 35 + 30 + 15 = 80 fits the reduced budget. Correct totals alone do not prove fairness: explain benefits, exclusions and maintenance.
Write your own answer before opening the explanation. Then improve one sentence using what you learned.
Invite quieter stakeholders, ask what evidence supports the allocation, and compare all options against the same agreed criteria. Record a dissenting view rather than pretending everyone agrees.
Change the weight given to access and maintenance. Explain whether your recommendation changes.
An educator reference for turning ideas into social, cultural and financial value.
Evidence-informed guidance for educators. Use planning, explicit modelling and reflection in every mission.
The Strategist has 80 tokens. Reading costs 40, water repair 60, science club 50. Can any two be funded? Choose one and name a person whose need remains unmet.
Scratch space: not saved. Copy useful reasoning into your private workbook.
45–60 minutes · Paper or browser · No purchase required
“We have 100 tokens. I propose a reading corner and a water repair.”
“I prefer a science club. Can we compare access and maintenance before voting?”
Write a prediction before you reveal the worked reasoning.
A separate council practice case (apply the same decision method): reading corner costs 40 tokens, water repair 60, science club 50. Learner A needs quiet space; learner B wants reliable water; caretaker C has only one maintenance hour a week. These are scenario inputs, not real prices.
Choose access, benefit and upkeep. Give each a weight from 1–5 and explain it before scoring options. Hear the three stakeholder perspectives.
Use the decision lab or paper table. Score each option 1–5, where 5 is strongest, including easiest upkeep. Select a combination costing no more than 100 tokens.
Reduce the budget to 80. Record your revised choice, one rejected alternative and a dissenting concern. Explain who might still be excluded.
The Strategist has three ideas for a fictional school club and a limited budget. Your job is to make a defensible choice, listen to other priorities and revise it when the constraint changes.
A score describes how well an option meets a criterion. A weight describes how important that criterion is. Multiply each score by its weight, then add. The table makes assumptions visible; the total is not proof that an option is best.
| Option / cost | Access | Benefit | Easy upkeep | Weighted total |
|---|---|---|---|---|
| Reading corner 40 tokens | 29 | |||
| Water repair 60 tokens | 34 | |||
| Science club 50 tokens | 27 |
Reading corner calculation now: 4 × 3 + 3 × 3 + 4 × 2 = 29.
With the supplied scores, weights 3, 3, 2 give totals 29, 34, 27. Weights 1, 1, 5 give 27, 20, 22. The ranking flips because priorities changed; the options did not become objectively better or worse. If you edited scores, your results may differ.
Selected cost: 100 / 100 tokens. 0 tokens remain.
The table scores individual options; it does not optimise project bundles. At 100 tokens, reading + water fits. Water + science costs 110. At 80, no pair fits. Consider dependencies and overlapping benefits before combining projects.
Who chose the weights? What supports the scores? Ask someone with a different priority to challenge your recommendation. Explain what you would stop, keep or redesign with 80 tokens.
Inputs reset when you leave. Download your reasoning or copy it to your private workbook.
Go deeper: compare stakeholders and test uncertain assumptions with a mentorReading + water costs 100, but at 80 that combination fails. A weighted score helps expose assumptions; it does not decide for people. The Strategist records the Inventor’s concern that science opportunities remain unmet and proposes a later review.
Finding the answer is not evidence of mastery. Explain it, test a changed input and record your own work.
One participant cannot attend the meeting. Design a way for their view to influence the decision.
Option | Cost | Access score/reason | Benefit score/reason | Upkeep score/reason Weights: 100-token allocation: 80-token allocation: Dissenting concern: Review date or trigger:
Choose a twist. Use paper, a sketch or a conversation.
Optional practice. Copy useful observations into your workbook; choosing a twist does not record completion.
Compare ideas with someone you know. Sharing is optional.
Work through Make a decision people can question with a focused prompt. Your notes stay private unless you choose to paste an excerpt here.
Use fictional examples. Leave out names, contact details, passwords and private records.
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Key clears after each attempt. EaseBrain saves only a daily request count, not your key, prompt or answer. OpenAI’s data policies apply. Up to 500 output tokens and 20 attempts a day; no automatic retries. These limits do not guarantee a spending ceiling.