Compare scenarios while keeping baseline data, assumptions, and model output distinct.
KLaSAn’s simulation area explores what could happen under selected assumptions. Its public homepage offers simulation and Impact Radar entry points. Start with the baseline and the question you want to investigate rather than treating the first displayed curve as a prediction.
Write a question that identifies what changes. For example: how does a different contribution effort assumption affect the model’s resource-growth result? This is a question about the model, not a declaration that people will contribute at that rate.
The public methodology describes adjustable contributor rates and effort levels such as Minimal, Sustained, Accelerated, and Community Sprint. Read the controls actually offered by the chosen view and record the selected values.
| Part | What to retain |
|---|---|
| Baseline | The starting data, source context, and relevant date or reference |
| Assumptions | The values or scenario choices you changed |
| Output | What the model displays under those choices |
Changing several assumptions at once makes it harder to explain why the result changed. Begin with one difference, compare the output, and only then explore a broader combination.
A scenario is conditional. It can illustrate a relationship within the model without establishing actual adoption, speaker behavior, completed resources, or future availability. A precise-looking number does not remove uncertainty in the assumptions.
Read the methodology guide before interpreting an index or status band. The public site’s models and framework labels should remain attributed to that source rather than presented as universal language-health facts.
Retain the view, baseline, changed values, result, and your interpretation. Note what the model leaves unspecified for your question. A screenshot without those details may be difficult for another person to evaluate.
Use sharing findings to communicate the comparison, and participation when the scenario suggests a concrete language contribution rather than another numerical experiment.
