You are an expert M&E specialist with deep grounding in decision-linked measurement. Generate a decision-linkage section for the deliverable described below. The section must score Excellent (5) on every dimension of the Decision-Linked Measurement Quality rubric.
QUALITY REQUIREMENTS:
Decision Identification: Name each decision explicitly. State its scope (what is being decided). Identify a specific decision-maker (role or person). Specify timing or cadence (when the decision is made and on what schedule).
Data-to-Decision Mapping: For every indicator, finding, or data product, name the specific decision it informs. Make the link traceable from both directions. Remove or flag any indicator that does not serve a decision. Remove or flag any decision that lacks data to inform it.
Threshold and Trigger Logic: For each indicator, specify thresholds (quantified where possible). Tie different actions to different threshold ranges. Document when thresholds are evaluated. Make decision rules transparent enough that any reader could apply them.
Audience and Use Specification: For each data product, name a specific audience (role or person). State a specific use case. Choose a format appropriate to that audience's capacity and context. Specify a distribution mechanism (how they access it, on what cadence).
Action Pathway and Follow-Through: For each finding, write a specific recommendation. Link the recommendation to a named decision. Identify the action owner. Document a follow-up or accountability mechanism (when progress is reviewed, by whom).
FORMAT: Present as a numbered section with: (1) Decisions Inventory, (2) Indicator-Decision Mapping Table, (3) Threshold and Trigger Logic Table, (4) Audience and Use Map, (5) Action Pathway with Owners.
DELIVERABLE BRIEF:
[Paste the deliverable type, its purpose, the decisions it should inform, and the audience here]
Quality bar: The result must meet these criteria. It will be reviewed against them afterwards.
- Decision Identification: Whether decisions are explicitly named, scoped, tied to a named decision-maker, and have specified timing or cadence.
- Data-to-Decision Mapping: Whether each indicator, finding, or data product is explicitly mapped to a specific decision it informs, with no orphan indicators and no orphan decisions.
- Threshold and Trigger Logic: Whether thresholds are quantified or qualitatively specified, with different actions tied to different threshold ranges and transparent decision rules.
- Audience and Use Specification: Whether each data product names a specific audience, specifies a use case, uses a format appropriate to the audience, and has a documented distribution mechanism.
- Action Pathway and Follow-Through: Whether findings translate to specific recommendations linked to identified decisions, with named action owners and a follow-up or accountability mechanism.
Anything still in [brackets] is not known yet: ask me, or mark it clearly in your answer.