ClusterOS Diagnostic Profile
Stirling Clackmannanshire Manufacturing
Stirling Clackmannanshire Manufacturing draws £80m of UKRI lead-led funding across 54 grants, anchored by Stirling (31%), with Fujifilm Imaging Colorants and Zero Waste Scotland on the industrial side.
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Same data examined through five diagnostic lenses — Pipeline, Leverage, Triple Helix, Throughput, Collaboration. The interactive diagnostic is currently in private preview.
Sources: UKRI Gateway to Research (grants, outcomes); OpenAlex (publications); Companies House (spin-out lifecycle); DSIT (cluster mapping); Public investment data. Snapshot May 2026.
Stabilisation stacks · Why single interventions fail
Activity volume generates demand for more re-proving; re-proving keeps all programmes alive; forgiving keeps non-performers in the portfolio; all three pressure types absorbed.
Intermediaries produce narrative about their facilitation role; narrative legitimises intermediary existence and funding; uncertainty about direct coupling absorbed by narrative rather than demonstration.
"If one support programme were required to publish a pre-committed closure threshold (e.g., "If fewer than X firms engage for Y consecutive quarters, programme closes automatically"), it might reduce the system's ability to absorb failure signals without adaptation by making the tolerance mechanism visible and creating a precedent for exit."
Leverage hypotheses are testable perturbations, not prescriptions. Where demand-side behaviour is weakly visible, the correct move is observation — improving visibility before attempting change.
Structural resemblances · Clusters with similar stall configurations
A full ClusterOS diagnostic adds actor questionnaire data, working sessions, and anchor interviews — producing higher-confidence stall identification, board-ready stack analysis, and leverage hypotheses calibrated to your specific context.