ClusterOS Diagnostic Profile

DevonTorbay Digital

Exeter, United Kingdom Extraction-Narrative 74 evidence items

DevonTorbay Digital runs on 74 evidence items (DevonTorbay Digital UKRI grants: 174 grants, £220m total, 38 distinct lead or). The diagnostic resolves a Extraction-Narrative configuration at MEDIUM confidence.

9
Active stalls
1
Stacks identified
74
Evidence items
6
Leverage timeline (mo)
S1
Re-proving Instead of Narrowing
medium
S2
Coordinating Instead of Deciding
low
S3
Forgiving Instead of Redesigning
indeterminate
S4
Extracting Without Reinvesting
medium
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 UKRI or devolution deal reporting separated "ecosystem success" metrics (spin-offs created, patents filed, equity raised) from "local retention" metrics (spin-offs HQ'd in Devon/Torbay, patents held by regional entities, equity investors located regionally), it might reduce the system's ability to absorb success signals through narrative that conflates extraction with...

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.

DevonTorbay Digital
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