Governance Talent Network
Fellows, officers, practitioners, mentors and solution providers who generate, validate, use and spread practical governance knowledge.
What We Do
We do not begin with a solution. We begin with a public problem.
GI works where governance talent is already embedded inside the system. We help that talent diagnose specific problems, design minimum viable interventions, bring in the right expertise, capture learning, and convert what is learned into reusable knowledge and capability.
Action Labs
Structured problem-solving cycles around named public problems, using Diagnose, Design, Embed, Measure and Replicate.
Governance Collective
A curated source of truth and coordination infrastructure for playbooks, solution pathways, requests, district canvases and learning products.
GovCap
Capacity building for people inside government and people outside government who want to work with government effectively.
Problem-solving loop
Five stages keep the work disciplined.
01
Diagnose
Frame the problem, constraints, actors, data and root causes.
02
Design
Build minimum viable interventions with contextual fit.
03
Embed
Put routines, roles, review cadence and accountability into the system.
04
Measure
Track what changed, what failed and what conditions mattered.
05
Replicate
Convert field learning into playbooks, pathways and capability.
Solution Architecture
The function that helps translate a public problem into a context-aware response by combining schemes, workflows, actors, evidence and credible external solutions.
Diagnosis before solutions
The model avoids premature solution matching and starts with the specific problem and its operating context.
Curation over volume
The goal is not to list everything. It is to identify what is useful, tested, adaptable and honest about limits.
Operating model
The components work as one learning system.
GI is strongest when each layer produces material for the next layer instead of operating as a separate activity.
State entry signal
A public-system partner identifies a real problem space, counterpart capacity and review rhythm where GI can support without becoming a parallel programme.
Embedded talent
Fellows, officers and practitioners hold the problem close enough to understand constraints, actors, data gaps and implementation realities.
Action Lab cycle
The team diagnoses, designs, embeds, measures and adapts around a time-bound problem rather than launching a broad thematic initiative.
Collective capture
What is learned becomes case notes, solution pathways, requests, failure notes and reusable objects after evidence and sensitivity review.
GovCap reuse
Reviewed learning becomes capsules, clinics and role guides for new fellows, officials, practitioners, funders and partners.
Design rules
The model has guardrails.
These rules keep the website and the future platform aligned with the docket's public-claim discipline.
No solution-first entry
GI should not sell a pre-decided tool, scheme or vendor pathway before the public problem has been diagnosed.
No open directory logic
The Collective is curated. Entries need evidence, adoption conditions, failure notes and publication review before they become public knowledge.
No untested outcome claims
State engagements should define what they will test, gather evidence during implementation and publish only what has passed review.