Section 04 · Findings
Rose, Bud, Thorn
Synthesised across three discovery sessions. What is working, what could become, what is blocking.
Rose
What is working
- Cross-team analyst peer review
- Quarterly board reporting cadence
- Operator-direct data shares (informal)
- Strong analytical voice on the team
Bud
What could become
- Regional dispersal index
- AI-assisted member briefings
- Shared dashboard with municipalities
- Off-season campaign automation
Thorn
What is blocking
- Fragmented operator data systems
- Analyst time fully committed
- Council planning lag on dispersal
- Procurement timelines
Section 05 · Priorities
Three priorities, in order
Ranked by board-decision priority, not by visibility. None of them depend on the others until the third — which is why the sequence matters.
PRIORITY 01
Data foundations
Q2–Q3 2026 · ~€180k
Consolidate operator data feeds into a single analytical surface. Gating dependency for everything that follows. Without it, the next two priorities produce thin work.
PRIORITY 02
AI-assisted analyst tooling
Q3–Q4 2026 · ~€90k
Reduce monthly reporting load by ~40% so analyst time can move to dispersal modelling and member briefings. Quick win once foundations are in place.
PRIORITY 03
Member content automation
Q1 2027 · ~€220k
The most visible work, deliberately last. Generates briefings and campaign content from the unified data surface. Doing it first would produce thin output disconnected from position.