GRF · Policy Nexus
Policy implementation learning
A policy is a hypothesis about how a public problem can be changed. Implementation tests it through budgets, secondary rules, agencies, frontline delivery and the behaviour of the people it reaches. Policy implementation learning is the practice of monitoring, auditing and evaluating that test and feeding the lessons back into decisions. This page sets out how implementation gaps develop, how monitoring and evaluation capacity is measured, and which institutions hold the decisions.
Policy implementation learning in seven parts.
- 01The questionPolicy implementation learning: how the risk develops
- 02IndicatorsWhat is measured, and how well
- 03SourcesWhere the evidence comes from
- 04DecisionsWho decides, and what the evidence serves
- 05Core questionsWhat experts ask
- 06Mechanisms and driversWhy policies drift
- 07Methods and dataHow the evidence is built, and where it stops
Policy implementation learning: how the risk develops.
From policy designs to monitored outcomes. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
The implementation gap
Between a law and its outcome lie secondary rules, budgets, staff, systems and discretion at the front line. Each step can dilute, delay or redirect the policy, and the losses compound along the chain.
Outputs measured, outcomes missed
Monitoring systems count what is easy: funds spent, laws passed, people trained. Without outcome measures and a counterfactual, a programme can report success while the problem it targets is unchanged.
Evaluation that arrives too late
Evaluations commissioned after decisions are taken, or published long after, cannot inform the next budget. Learning needs evaluation planned at the design stage, with data collected from the start.
Accountability without learning
Audit and oversight that only assign blame encourage defensive reporting. Systems that separate accountability from learning, and protect honest reporting of failure, adjust policy faster.
People and hazards in Africa.
Population density, night lights and flood water over Africa, from NASA GIBS. Each layer carries its own date.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
People and hazards, for this page
Keyboard, with the map focused
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Latest available
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
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People and hazards, framed on Africa.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.
Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · U.S. Geological Survey · NOAA GOES-East ABI GeoColorSources and licences
- We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
- VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
- Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
- © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). ODbL
- Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
- Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
- Live: NASA EONET Events are indicative, not authority warnings.
- Live: U.S. Geological Survey Events are indicative, not authority warnings.
- Live: NOAA GOES-East ABI GeoColor (CIRA). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
- NASA GIBS: We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
- Optional layers (5 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.
Layers and dates
- Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
- Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
- Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
- Active fires and thermal anomalies: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
- True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
- Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
What is measured, and how well.
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| Systematic ex post evaluation of regulations | composite score on the iREG scale | triennial | OECD Indicators of Regulatory Policy and Governance | ESTIMATED |
| Government evaluation policy and central evaluation function | categorical, by function | periodic review | Government evaluation policies | Published statistics |
| Audit recommendations implemented | percent of recommendations followed up | annual | Supreme audit institution follow-up reports | REPORTED |
| Open Government Partnership commitments completed | share of commitments by completion level | per action plan | OGP Independent Reporting Mechanism | REPORTED |
| Review or sunset clauses in new primary law | share of new laws with a review clause | annual | National gazettes | Published statistics |
| Budget execution against approved allocation | percent deviation by function | annual | PEFA and budget execution reports | Published statistics |
| Impact evaluations registered | count by sector and design | continuous | 3ie Development Evidence Portal and trial registries | REPORTED |
Consultation desk.
The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.
Consultation desk
Policy implementation learning · DRR strategy refresh · Consultation CN-41
Responses by stakeholder group
Themes
| Local funding | 144 | Concern | Yes |
| Data sharing | 88 | Support | No |
| Enforcement | 33 | Oppose | Under review |
Where the evidence comes from.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| OECD Regulatory Policy Outlook and iREG | Indicators and analysis of ex post review, stakeholder engagement and regulatory oversight | Open, CC BY 4.0 |
| Supreme audit institution reports | Performance and compliance audits with recommendations and follow-up | Public sector information, national terms |
| Open Government Partnership IRM reports | Independent assessment of commitment design and implementation | Open, publisher terms with attribution |
| 3ie Development Evidence Portal | Impact evaluations and systematic reviews of development interventions | Free, publisher terms |
| Campbell Collaboration systematic reviews | Systematic reviews of social policy interventions | Open access, Creative Commons licence per review |
| National regulatory impact assessment registers | Ex ante assessments and post-implementation reviews of regulations | Public sector information, national terms |
| World Bank Independent Evaluation Group | Evaluations of programmes and policy-based lending | Open, CC BY 4.0 |
Compare instruments: rules, incentives and information.
Three families of instruments side by side against the baseline, each with its own lag and adoption speed, under the coverage and compliance you set; effect sizes are teaching values to replace with evidence. Scenario: named assumptions about the future, not a forecast. The map on this page shows Africa; the model itself is not tied to a place.
Controls
- Baseline trend of the outcome
- 2.0% a year
- Coverage of the instrument
- 70%
- Compliance
- 75%
- Effect size, against the teaching value
- 100%
- Years ahead
- 20 years
Readouts
- Largest reduction at the horizon
- Regulation
- Its reduction against the baseline
- 21%
Numbers, methods and sources
| Year | Baseline | Regulation | Economic incentive | Information and capacity |
|---|---|---|---|---|
| 0 | 100.0 | 99.5 | 98.8 | 99.1 |
| 1 | 102.0 | 101.2 | 100.1 | 99.8 |
| 2 | 104.0 | 102.5 | 101.1 | 99.9 |
| 3 | 106.1 | 103.5 | 101.6 | 100.0 |
| 4 | 108.2 | 103.7 | 101.8 | 100.7 |
| 5 | 110.4 | 103.2 | 101.7 | 102.1 |
| 6 | 112.6 | 102.0 | 101.6 | 103.9 |
| 7 | 114.9 | 100.4 | 101.6 | 105.9 |
| 8 | 117.2 | 99.2 | 102.1 | 108.0 |
| 9 | 119.5 | 98.6 | 102.9 | 110.1 |
| 10 | 121.9 | 98.9 | 104.2 | 112.3 |
| 11 | 124.3 | 99.7 | 105.7 | 114.5 |
| 12 | 126.8 | 101.1 | 107.4 | 116.8 |
| 13 | 129.4 | 102.7 | 109.4 | 119.2 |
| 14 | 131.9 | 104.5 | 111.4 | 121.6 |
| 15 | 134.6 | 106.5 | 113.5 | 124.0 |
| 16 | 137.3 | 108.5 | 115.7 | 126.5 |
| 17 | 140.0 | 110.7 | 118.0 | 129.0 |
| 18 | 142.8 | 112.9 | 120.4 | 131.6 |
| 19 | 145.7 | 115.1 | 122.8 | 134.2 |
| 20 | 148.6 | 117.4 | 125.2 | 136.9 |
Methods
- Tools of government Hood (1983), The Tools of Government, Macmillan
- Carrots, sticks and sermons Bemelmans-Videc, Rist and Vedung (1998), Transaction
- Diffusion of innovations Rogers (2003), Diffusion of Innovations, Free Press
- Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
- One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
Data
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page's map can draw:
- Borders Natural Earth
- Cities Natural Earth
Across the six pillars, led by Nexus Consortium
- Experiments Labs
- Built in Policy Nexus in Foundry
- Tested at Policy Nexus in Universe
- Codified in Foundations and Governance in Standards
- Published in Policy Nexus in Reports
- Taught in Faculty of Governance, Policy and International Affairs in Academy
Who decides, and what the evidence serves.
Policy Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| Centres of government and evaluation units | Which policies to evaluate, when, and with what design | Comparative evaluation policies; evidence maps showing where evaluations are missing |
| Supreme audit institutions | Which programmes to audit for performance, and how to follow up recommendations | Comparative audit follow-up practice; prior audit findings by theme |
| National legislatures and public accounts committees | Whether to renew, amend or end a programme at review | Evaluation and audit evidence with designs, labels and limitations stated |
| Regulatory oversight bodies | Whether an impact assessment or post-implementation review is fit for purpose | Quality criteria from regulatory impact assessment guidance; comparative oversight practice |
Outputs this topic produces
- Policy primer on monitoring and evaluation systems across government
- Comparative brief on post-implementation review and sunset practice
- Evidence maps that place evaluations by policy area, design and context
- Dialogue records from exchanges between evaluators, audit institutions and policy teams
From mandate to evaluation, by pillar.
The steps an instrument takes from mandate to evaluation, each with the pillar that runs it, and the decisions that stay with the authority. Teaching model with stated illustrative values, not a prediction. The map on this page shows Africa; the model itself is not tied to a place.
- Mandate and problem framing Competent authority (outside the programme)
A competent authority frames the problem and the mandate under its own rules. Howlett, Ramesh and Perl (2009) - Evidence and system model Foundry
The system is modelled with its feedbacks, data and stated limits. OECD (2014), principle 2 - Options appraised with scenarios Foundry
Instruments are compared under scenarios, with uncertainty shown. Hood (1983) - Exercise with stakeholders Universe
The options are tested in an exercise with those who would implement and bear them. OECD (2014), principle 3 - Standard or guidance drafted Nexus Standards
What works is codified as a standard or guidance, open to comment. Nexus Standards process - Decision by the authority Competent authority (outside the programme)
The authority decides, outside the programme, with the evidence on record. Howlett, Ramesh and Perl (2009) - Capacity and training Risk Academy
Those who implement are trained on the decided instrument and its data. Sendai Framework (2015), priority 2 - Monitoring and public report Reports
Indicators are published with sources, limits and corrections. OECD (2014), principle 5 - Evaluation and revision Nexus Standards
Results return to the standard and the model: the cycle closes. Howlett, Ramesh and Perl (2009)
Methods
- Policy cycle Howlett, Ramesh and Perl (2009), Studying Public Policy, Oxford University Press
- Governance of critical risks OECD (2014), Recommendation of the Council on the Governance of Critical Risks
- Layered drawing of directed graphs Sugiyama, Tagawa and Toda (1981), IEEE SMC 11
Across the six pillars, led by Nexus Consortium
- Experiments Labs
- Built in Policy Nexus in Foundry
- Tested at Policy Nexus in Universe
- Codified in Foundations and Governance in Standards
- Published in Policy Nexus in Reports
- Taught in Faculty of Governance, Policy and International Affairs in Academy
What experts ask.
Implementation researchers ask what happens after a policy is adopted.
- Does the policy reach the people and places it targets, at the scale intended?
- Do front-line agencies have the resources, skills and discretion to implement it?
- How are outcomes monitored, and does monitoring feed back into decisions?
- What unintended effects emerge, and how quickly are they detected?
- How do governments learn from implementation across regions and from other countries?
Exercise a cascade in policy implementation learning with the people who decide.
Assembled from the Nexus Standards area profile Political and governance risk standards: the hazards it names, the systems and communities that carry the loss, the controls and institutions that dampen it and the data that observe it. Pick an initiating event and step through the cascade to see where mandates meet and which decisions fall to whom. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise for dialogue, not a forecast, an assessment or a position. To model a place of your own choosing, open the full System Builder.
Systems and couplings
Controls
NS-0Constitution and principlesNS-9Contextual UNIs (deployments, instances, programme instances)NS-10Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)NS-11Verification and monitoring (evidence, attestations, zero-trust conformance observation)NRS-H112Hazard family: Governance and institutional failure (NHS-1 soc.governance)NRS-U9Universe platform profile: Financial Regulation NexusNRS-H59Hazard family: Economic shocks and governance failure (NHS-1 soc.economic)NRS-H118Hazard family: Organised crime and illicit economies (NHS-1 soc.crime)NRS-A5Built-in licensing and rightsNRS-U24Universe platform profile: Policy Nexus
Observation
- Worldwide Governance Indicators (listed for reference)
- V-Dem dataset (listed for reference)
- Global SDG Indicators Database (listed for reference)
- Proportion of population satisfied with their last experience of public services
- Proportion of population who believe decision-making is inclusive and responsive
- Number of countries that adopt and implement national DRR strategies in line with the Sendai Framework
Why policies drift.
Policies pass through many hands. Funds may arrive late or partially; agencies interpret rules in different ways; front-line staff adapt to local conditions and constraints; target groups respond in unexpected ways. Implementation research has long shown that outcomes depend heavily on these factors, and that top-down designs often underestimate them.
Learning requires feedback: timely, honest information about what is happening, institutions that can act on it, and a culture that treats problems as information rather than failure. Monitoring systems that measure activity rather than outcomes, or that penalise bad news, block learning. Piloting, staged roll-out and built-in evaluation help governments adjust before policies are fully scaled.
Why now: inquiries keep finding that policies failed in implementation rather than design, and that lessons were identified but not acted on. Policy Nexus convenes implementers and evaluators, records what changed after each lesson, and tests revised arrangements in Universe.
How policy implementation learning is governed: instruments, mandates and commitments.
The instruments, mandates, actors and accountability arrangements a policymaker, diplomat or development agency works with, citing the agreements that set them. Structures follow the frameworks named. Any state or progress drawn is illustrative, not a record.
Policy instrument matrix
The kinds of instrument available on policy implementation learning, by level of government and cooperation.
| Instrument type | Local | National | Regional | Global |
|---|---|---|---|---|
| Regulatory | Zoning, building codes | Laws, standards, licensing | Harmonised rules | Conventions and treaties |
| Economic | Local levies, grants | Budget lines, taxes, insurance schemes | Risk pools, regional funds | Financing mechanisms |
| Information | Local warnings | Disclosure, early warning, statistics | Data sharing arrangements | Global monitoring and reporting |
| Institutional | Local committees | Lead agencies, coordination councils | Regional bodies and secretariats | Multilateral mandates |
| Cooperative | Community agreements | Partnership compacts | Memoranda and joint programmes | Agreements and joint commitments |
How the evidence is built, and where it stops.
- 01
Monitoring frameworks
Tracking inputs, outputs and outcomes. Outcome data often arrives late.
- 02
Impact evaluation
Estimating effects using causal inference and impact evaluation. Strong designs are not always feasible.
- 03
Process evaluation
Examining how implementation happens. Findings are context-specific.
- 04
Peer learning
Structured exchange between implementers through policy dialogues. Requires candour about failures.
How it is studied, and what the methods cannot say.
- 01Causal inference and impact evaluationStaggered adoption of a reform · Eligibility thresholds in programmesApplied here
- 02Policy, institutional and decision scienceMandate mapping for a cross-sector risk · Review of regulatory impact assessmentsApplied here
- 03Decision analysis under uncertaintyOption appraisal for a policy instrument · Adaptive pathways for public planningApplied here
- 04Game theory and mechanism designStability of a transboundary agreement · Design of a regional risk poolApplied here
Questions and answers.
What separates monitoring, audit and evaluation?
Why plan evaluation at the design stage?
What is a sunset clause?
What is the difference between monitoring and evaluation?
Why do governments struggle to learn from failure?
Does Policy Nexus evaluate programmes?
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