ClusterOS Diagnostic Profile

Stirling Clackmannanshire Digital

Stirling, United Kingdom Extraction-Narrative 56 evidence items

Stirling Clackmannanshire Digital runs on 56 evidence items (Stirling Clackmannanshire Digital UKRI grants: 32 grants, £37m total, 7 disti). The diagnostic resolves a Extraction-Narrative configuration at MEDIUM confidence.

9
Active stalls
1
Stacks identified
56
Evidence items
6
Leverage timeline (mo)
S1
Re-proving Instead of Narrowing
low
S2
Coordinating Instead of Deciding
medium
S3
Forgiving Instead of Redesigning
indeterminate
S4
Extracting Without Reinvesting
high
S5
Mediating Instead of Coupling
low
Stabilising Around Incumbents
medium
S7
Narrating Instead of Testing
low
S8
Scaling Activity Instead of Throughput
low
S9
Waiting for Permission
indeterminate
Stack 01 S4 · S7

Value extraction events generate narrative about ecosystem success; narrative legitimises continued extraction by framing it as ecosystem contribution; uncertainty about whether extraction is harmful absorbed by the success narrative.

"If City Region Deal reporting separated "value generated in region" from "value retained in region" (e.g. tracking where UKRI grant outputs are commercialized, where Innovation Park tenant IP is licensed), it might make extraction-vs-retention difference visible, potentially weakening extraction-as-success...

6-12 months

Leverage hypotheses are testable perturbations, not prescriptions. Where demand-side behaviour is weakly visible, the correct move is observation — improving visibility before attempting change.

What happens next
This is a structural profile, not a full diagnostic.

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.

Stirling Clackmannanshire Digital
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