Decision Journal.
Every decision Mijoro helps you make gets logged with your assumptions, your expected outcomes, and the date the platform should grade itself against reality. The platform's own track record, visible to you.
Why journal decisions
Most operators have made a thousand strategic decisions. Almost none of them remember the exact assumptions they were operating on at the time, or what they expected to happen, or whether reality matched. The decisions blur. The lessons are lost. Pattern recognition becomes folk knowledge instead of compounding intelligence.
Mijoro's decision journal exists to make every strategic call learnable. Every boardroom report, every scenario, every debate verdict, every advisor recommendation lands in the journal with the assumptions and expected outcomes captured. Thirty days later — or whenever the prediction's timeframe expires — the platform reconciles the prediction against actuals and tells you what happened.
Auto-capture
You don't have to remember to log decisions. The journal captures them automatically. Every artifact the platform produces is hooked into the decision capture engine: boardroom reports auto-log their core recommendation, scenarios auto-log the hypothesis and the synthesis, debates auto-log the converged verdict, advisor responses auto-log substantive recommendations. The platform extracts the assumptions and the expected ranges from the artifact text — no manual entry required.
What's in a journal entry
- Decision summary — one to two sentences capturing the substance of the call
- Source — which artifact this came from (boardroom report, debate, scenario, advisor chat, pipeline)
- Assumptions — the specific assumptions the decision rests on, extracted from the source artifact
- Expected ranges — the quantified outcomes the prediction commits to (e.g., revenue +14% to +21%, runway extension to 18 months)
- Reconciliation date — when the platform will grade the prediction against reality (typically 30 days out)
- Actual outcomes — populated after reconciliation; what actually happened across the predicted variables
- Brier score — the calibration score for this specific decision once reality plays out
- Lesson — if a pattern across multiple decisions emerges, the lesson gets promoted to durable organizational memory
The reconciliation loop
The nexus loop, running every minute, watches for journal entries past their reconciliation date with sufficient evidence to grade. When a decision becomes gradable, the platform fetches the actual outcomes (from your integrations, your subsequent uploads, your subsequent decisions), computes the gap between predicted and actual using Brier scoring, and writes the reconciliation back to the journal entry.
When a pattern across multiple reconciled decisions becomes statistically significant — say, the platform has over-estimated revenue impact on pricing decisions four times in a row — the pattern gets promoted to a durable lesson in your organizational memory. Future pricing scenarios then run with the bias adjustment automatically applied.
What this gives you
A track record. The journal is the proof that Mijoro's recommendations actually work — not in the abstract, but for your business specifically. You can show your board the platform's calibration. You can use it to set the appropriate weight on future recommendations. You can identify patterns ("we always over-estimate channel growth, and Mijoro caught that pattern after the third miss"). You can compound your strategic learning instead of repeating the same misjudgments.