A place to
figure things out.
Four free tools. No sign-in, AI key or hardware required. Change the inputs, download your experiment and connect the results to your mission.
Make a choice you can explain.
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.
1. Choose your priorities
2. Challenge the scores
| 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.
What should change in the original example?
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.
3. Check what is affordable
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.
4. Defend and test your decision
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 mentorRead the crew’s guided practical →
Record my experiment in the mission workbook →Cost calculator
Predict a result first. Change an input, compare the output and explain why it changed. These fictional models are learning aids.
Contribution/unit: KES 80.00 Revenue: KES 7500.00 Total cost: KES 8100.00 Surplus / loss: KES -600.00 Break-even: 38 units (check contribution and assumptions)
Tool inputs reset when you leave. Download results or record them in your private mission workbook.
Read the crew’s guided practical →
Record my experiment in the mission workbook →Data investigation
Predict a result first. Change an input, compare the output and explain why it changed. These fictional models are learning aids.
Day 1: 1000 L ÷ 100 learners = 10.00 L/learner Day 2: 950 L ÷ 95 learners = 10.00 L/learner Day 3: 1080 L ÷ 108 learners = 10.00 L/learner Day 4: 750 L ÷ 60 learners = 12.50 L/learner Day 5: 800 L ÷ 64 learners = 12.50 L/learner Day 6: 875 L ÷ 70 learners = 12.50 L/learner
Tool inputs reset when you leave. Download results or record them in your private mission workbook.
Read the crew’s guided practical →
Record my experiment in the mission workbook →Sensor state simulator
Predict a result first. Change an input, compare the output and explain why it changed. These fictional models are learning aids.
Initial state: off. Unknown is displayed for missing data; internal memory keeps the last valid state. This is a classroom model, not a safety controller.
Step | cm | Simple threshold | With memory 1 | 74 | off | off 2 | 79 | off | off 3 | 80 | on | on 4 | 78 | off | on 5 | 76 | off | on 6 | 75 | off | off 7 | 74 | off | off
Tool inputs reset when you leave. Download results or record them in your private mission workbook.
Read the crew’s guided practical →
Record my experiment in the mission workbook →Want to build your own version?
Follow a technology pathway to move from using a model to designing, testing and explaining your own.
Explore technology pathways