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.
TGI 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.
Gov Lab
Structured problem-solving cycles around named public problems, using Diagnose, Design, Embed, Measure and Replicate.
Gov Collective
A curated source of truth and coordination infrastructure for playbooks, solution pathways, requests, district canvases and learning products.
Gov Cap
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.
TGI 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 TGI 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.
Gov Lab cycle
The team diagnoses, designs, embeds, measures and adapts around a time-bound problem rather than launching a broad thematic initiative.
Gov Collective capture
What is learned becomes case notes, solution pathways, requests, failure notes and reusable objects that others can use with context.
Gov Cap 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 model focused on disciplined problem-solving, careful curation and evidence-backed claims.
No solution-first entry
TGI does not sell a pre-decided tool, scheme or vendor pathway before the public problem has been diagnosed.
No open directory logic
The Gov Collective is curated. Entries need evidence, adoption conditions, failure notes and review before they become shared knowledge.
No premature outcome claims
State engagements define what they will test, gather evidence during implementation and publish only what has passed review.