Course Introduction
Government policies and public services are ultimately experienced and acted upon by people whose decisions are influenced by habits, incentives, social norms, emotions, cognitive limitations, information, trust, and the surrounding environment. Behavioural insights provide government managers with practical methods for understanding these influences and designing policies, programmes, services, communications, and administrative processes that are more responsive to how people actually behave.
Behavioural Insights for Government Managers Training Course equips public sector leaders and managers with a practical understanding of behavioural science and its application to government decision-making. Participants will learn how to identify behavioural barriers, understand the factors shaping citizen and employee decisions, formulate behavioural hypotheses, and translate behavioural evidence into practical interventions that can improve policy implementation, service uptake, compliance, participation, and public outcomes.
The course moves beyond theoretical discussions of psychology and behavioural economics by focusing on practical government management challenges. Participants will explore issues such as low programme participation, missed appointments, delayed payments, weak compliance, limited uptake of digital services, poor health behaviours, administrative burdens, ineffective communications, and resistance to organizational change. They will learn how to diagnose behavioural drivers and identify opportunities for practical improvement.
A central feature of the course is the use of behavioural diagnosis before intervention design. Participants will learn how to map user journeys, identify friction points, examine capability and motivation, understand choice environments, assess social influences, and distinguish behavioural barriers from structural or institutional constraints. They will also explore how behavioural insights can complement conventional policy analysis, programme management, monitoring, evaluation, and service design.
Responsible application is essential when government uses behavioural approaches. The course therefore examines ethics, transparency, proportionality, inclusion, informed choice, privacy, vulnerable populations, unintended consequences, and the appropriate boundaries of behavioural interventions. Participants will also explore how digital technologies, artificial intelligence, personalization, behavioural data, and automated decision-support systems create new opportunities as well as important governance and accountability challenges.
By the end of the course, participants will be able to apply behavioural insights to real government management challenges, develop evidence-based behavioural interventions, design practical experiments, interpret results, and scale successful approaches. The course supports a more human-centred approach to public administration in which government managers use evidence about real behaviour to improve implementation, service quality, citizen experience, compliance, organizational performance, and public value.
Duration
5 days
Who Should Attend
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Senior government executives responsible for policy implementation, programme performance, service delivery, organizational change, and public outcomes.
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Permanent secretaries, principal secretaries, directors, and senior administrators seeking practical behavioural approaches to improve government performance.
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Government policy officers developing policies, regulations, programmes, interventions, communications, and implementation strategies.
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Programme managers responsible for citizen participation, programme uptake, implementation performance, behaviour change, and service outcomes.
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Service design and citizen experience professionals seeking to understand behavioural barriers affecting access, usage, satisfaction, and service completion.
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Monitoring and evaluation specialists designing behavioural indicators, intervention assessments, experiments, evaluations, and learning frameworks.
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Communications and public engagement officers developing government messages, campaigns, public information, and behaviourally informed communications.
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Regulatory and compliance officers seeking to improve voluntary compliance, regulatory adherence, reporting, payment behaviour, and stakeholder cooperation.
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Human resource and organizational development professionals applying behavioural insights to employee engagement, productivity, leadership, culture, and organizational change.
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Digital government professionals designing online services, digital communications, platforms, forms, notifications, and citizen-facing administrative processes.
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Data and analytics professionals supporting behavioural analysis, segmentation, experimentation, personalization, and evidence-based government decision-making.
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Health, education, social protection, environmental, tax, and other programme managers addressing behavioural barriers within sector-specific government interventions.
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Local government and public agency managers seeking practical methods for improving citizen participation, service uptake, compliance, and institutional performance.
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Consultants and public sector advisors supporting governments with behavioural science, service design, policy implementation, programme improvement, and organizational change.
Course Objectives
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Explain the core concepts of behavioural science and demonstrate how behavioural factors influence government policy, programme implementation, service use, compliance, and organizational performance.
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Diagnose behavioural barriers by examining capability, opportunity, motivation, incentives, habits, social norms, cognitive biases, administrative friction, and contextual influences.
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Apply behavioural frameworks to understand how citizens, public servants, businesses, and other stakeholders make decisions within government policy and service environments.
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Develop behavioural problem statements and hypotheses that clearly identify the behaviour requiring change, target population, contextual drivers, barriers, and desired government outcome.
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Design practical behavioural interventions using appropriate approaches such as simplification, reminders, defaults, social norms, feedback, incentives, prompts, and choice architecture.
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Integrate behavioural insights into policy design, programme management, service design, communications, regulatory approaches, digital government, and organizational improvement initiatives.
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Design behavioural experiments and tests that enable government teams to compare interventions, measure outcomes, assess effectiveness, and generate evidence for scaling decisions.
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Interpret behavioural evidence responsibly by considering statistical results, implementation conditions, unintended effects, equity implications, limitations, and differences between experimental and real-world settings.
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Apply ethical principles to behavioural interventions by protecting autonomy, privacy, dignity, inclusion, transparency, proportionality, and the interests of vulnerable or disadvantaged populations.
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Establish institutional behavioural insights capabilities that connect behavioural research, experimentation, implementation learning, data analytics, policy decisions, and continuous improvement across government.
Comprehensive Course Outline
Module 1: Foundations of Behavioural Insights in Government
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Understanding behavioural insights and their relevance to government policy, public administration, programme implementation, service delivery, and institutional performance.
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Exploring behavioural economics, psychology, decision science, social norms, cognitive science, and related disciplines that inform practical government interventions.
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Distinguishing behavioural barriers from structural, financial, institutional, technological, legal, informational, and accessibility barriers affecting government outcomes.
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Examining international and public sector applications of behavioural insights across taxation, health, education, social protection, regulation, environment, and digital services.
Module 2: Understanding Behaviour and Decision-Making
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Examining how attention, memory, habits, emotions, mental shortcuts, cognitive biases, incentives, trust, and social influences shape government-related decisions.
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Understanding bounded rationality, present bias, loss aversion, status quo bias, availability effects, framing effects, and other behavioural mechanisms relevant to public policy.
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Mapping the decision context to identify when, where, why, and under what circumstances citizens, employees, businesses, or service users make important choices.
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Differentiating stated preferences from observed behaviour and using behavioural evidence to challenge assumptions about how people are expected to respond to policies and services.
Module 3: Behavioural Diagnosis and Problem Definition
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Developing behavioural problem statements that clearly define the target behaviour, population, context, barriers, desired change, and relevant government outcomes.
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Conducting behavioural journey mapping to identify friction points, information gaps, emotional responses, decision moments, drop-off points, and opportunities for intervention.
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Applying behavioural diagnostic frameworks to assess capability, opportunity, motivation, incentives, social influences, environmental factors, and institutional conditions.
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Using interviews, observations, administrative data, surveys, user research, experiments, and qualitative evidence to strengthen behavioural diagnosis.
Module 4: Behaviourally Informed Policy and Programme Design
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Applying behavioural insights to policy design by considering how real-world decision environments influence programme participation, compliance, uptake, and outcomes.
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Designing interventions that address identified behavioural barriers rather than assuming that additional information or financial incentives will automatically change behaviour.
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Integrating behavioural approaches into programme theories of change, results chains, implementation plans, performance frameworks, and outcome measurement systems.
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Testing behavioural assumptions before large-scale implementation and identifying conditions under which interventions are likely to succeed or fail.
Module 5: Choice Architecture and Behavioural Intervention Design
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Designing choice environments that make desired actions easier, clearer, more accessible, timely, and consistent with citizens' practical circumstances.
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Applying simplification, defaults, reminders, prompts, social norms, salience, feedback, commitment mechanisms, and other behaviourally informed techniques appropriately.
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Designing government forms, letters, notifications, digital interfaces, appointment systems, payment processes, and service journeys using behavioural principles.
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Assessing intervention intensity, proportionality, feasibility, cost, sustainability, potential unintended consequences, and alignment with government objectives.
Module 6: Behavioural Insights for Public Service Delivery
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Applying behavioural approaches to improve service uptake, appointment attendance, application completion, digital adoption, payment compliance, and citizen engagement.
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Identifying administrative burdens that discourage eligible citizens from accessing benefits, services, permits, information, or government programmes.
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Using behavioural journey mapping and user research to simplify service processes and reduce unnecessary cognitive, procedural, technological, and informational friction.
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Designing inclusive behavioural interventions that consider language, literacy, disability, digital access, socioeconomic circumstances, trust, and diverse citizen experiences.
Module 7: Behavioural Insights for Government Organizations
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Applying behavioural science to employee engagement, leadership, teamwork, productivity, organizational culture, compliance, decision-making, and public sector change management.
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Understanding how incentives, norms, organizational routines, leadership signals, feedback, recognition, and workplace environments influence public servant behaviour.
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Designing behavioural approaches to improve implementation discipline, knowledge sharing, policy compliance, ethical behaviour, collaboration, and organizational learning.
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Identifying behavioural barriers to reform adoption and designing interventions that support sustainable institutional change rather than temporary compliance.
Module 8: Experimentation, Evaluation, and Behavioural Evidence
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Designing randomized controlled trials, A/B tests, quasi-experimental approaches, pilots, behavioural experiments, and other practical methods for testing interventions.
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Developing behavioural outcome measures, comparison groups, baselines, implementation indicators, and evaluation criteria appropriate for government interventions.
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Interpreting experimental findings while considering statistical significance, effect sizes, implementation fidelity, context, heterogeneity, and practical significance.
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Using evidence from behavioural experiments to decide whether interventions should be adapted, scaled, redesigned, discontinued, or tested further.
Module 9: Emerging Technologies, AI, and Behavioural Ethics
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Exploring how digital platforms, artificial intelligence, personalization, automated messaging, predictive analytics, and behavioural data can support government interventions.
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Examining ethical boundaries around nudging, personalization, profiling, automated targeting, surveillance, sensitive behavioural data, and interventions affecting vulnerable populations.
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Addressing algorithmic bias, transparency, explainability, privacy, informed choice, fairness, human oversight, data governance, and accountability in technology-enabled behavioural interventions.
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Assessing emerging opportunities and risks associated with generative AI, adaptive interventions, real-time behavioural analytics, and automated decision-support systems in government.
Module 10: Institutionalizing Behavioural Insights in Government
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Developing behavioural insights strategies that align behavioural research, policy development, programme management, service design, evaluation, analytics, and implementation functions.
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Establishing behavioural insights teams, governance structures, ethical review processes, research protocols, experimentation standards, and evidence-sharing mechanisms.
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Creating practical pipelines for identifying behavioural problems, diagnosing causes, testing interventions, evaluating results, scaling successful approaches, and documenting lessons.
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Measuring the institutional value of behavioural insights through improved service uptake, compliance, citizen experience, programme outcomes, cost-effectiveness, equity, and public value.
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.
Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Terms of Payment:
Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.
