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Documentation Index

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Decision checkpoints are the moments in a Nebula simulation where you’re asked to make a meaningful call. They reflect real workplace situations: a strategic direction to choose, a stakeholder move to make, a tradeoff to name. How you respond — and why — is evaluated by AI against the scenario context, your role, and the current state of the company world. Your decisions shape your score, your skill progression, and the direction of the simulation.

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What a decision checkpoint looks like

Each checkpoint has a clear structure:
FieldDescription
TitleA short label identifying the decision
PromptThe question or situation you need to respond to
ContextBackground information to inform your choice
OptionsPossible approaches or actions available to you
StatusWhere the checkpoint is in the evaluation flow
Checkpoints move through three statuses: pending (waiting for your response), submitted (your response has been sent for evaluation), and evaluated (the AI has scored and explained the outcome).

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How to submit a decision

1

Find the checkpoint

Open Mission Control and navigate to the Objectives tab. Pending decision checkpoints appear here with their prompts and context. You can also find them in the Awareness section under the Decision log.
2

Read the prompt and context

Before responding, read the full checkpoint carefully. The context field contains information relevant to making a well-reasoned choice — skipping it often leads to weaker responses.
3

Write your chosen action

In the response field, describe the action you’d take. Be specific — generic answers score lower than responses that name the real tradeoff, the stakeholders involved, and the reasoning behind your choice.
4

Submit your response

Click Submit to send your decision. The checkpoint status changes to submitted while the AI evaluates your response.
5

Review the evaluation

Once evaluated, your checkpoint status changes to evaluated. The platform returns a score (0–100), a reasoning explanation, and feedback explaining what you got right and what could have been stronger.

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How decisions are scored

The AI evaluates your chosen action against several factors:
  • Scenario context — does your response reflect an accurate read of the situation?
  • Role expectations — is this what someone in your assigned role would reasonably do?
  • Stakeholder awareness — does your response account for the people involved and their interests?
  • Tradeoff clarity — do you name the real tension rather than avoiding it?
  • Company context — does your action fit the company’s culture, constraints, and current state?
Scores run from 0 to 100. Higher scores reflect decisions that are well-reasoned, contextually grounded, and demonstrate the judgment expected at your role and difficulty level.

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How decisions affect your progression

Each evaluated decision contributes to your session outcomes:
  • Overall session score — decision scores are factored into your final session report
  • Skill scores — decisions are mapped to relevant skills (for example, stakeholder management or strategic thinking)
  • XP gains — you earn experience points for evaluated decisions, with more awarded for higher scores
  • Readiness signal — patterns across your decisions influence your role readiness assessment
Submitting a decision is final — you can’t revise your response once it’s submitted. Take time to read the context carefully and write a specific, reasoned answer before clicking Submit.

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Tracking your decisions

Every checkpoint — pending, submitted, and evaluated — is recorded in the Decision log inside Mission Control’s Awareness section. You can review your submitted responses and their evaluation scores at any point during the session. At the end of the session, the full decision log becomes part of your session report, where patterns across your choices are analyzed and connected to coaching insights.
After the session ends, review the reasoning attached to each evaluated decision in your session report. The explanations often highlight the exact tradeoffs you faced and what a stronger response would have addressed — useful reference for your next simulation.