Cross-Agency Collaboration for Innovation Training Course

Public Sector Innovation

Cross-Agency Collaboration for Innovation Training Course focuses on collaboration frameworks, innovation ecosystems, joint problem-solving models, and governance mechanisms that enable institutions to break silos and co-create sustainable solutions.

Cross-Agency Collaboration for Innovation Training Course

Course Overview

 Cross-Agency Collaboration for Innovation Training Course 

Introduction 

Cross-agency collaboration has become a critical driver of innovation in the public sector, development institutions, and complex service delivery environments. As governments and organizations face interconnected challenges such as digital transformation, service efficiency, policy coherence, and resource optimization, innovation increasingly depends on coordinated efforts across ministries, agencies, departments, and external partners. Cross-Agency Collaboration for Innovation Training Course focuses on collaboration frameworks, innovation ecosystems, joint problem-solving models, and governance mechanisms that enable institutions to break silos and co-create sustainable solutions. Participants will explore practical tools for partnership building, shared value creation, agile collaboration, and innovation leadership across institutional boundaries. 

The course emphasizes real-world application of collaborative innovation through structured methodologies, digital platforms, and performance-driven partnerships. Participants will learn how to align mandates, manage shared risks, integrate data and knowledge, and foster trust among diverse stakeholders. By combining strategic planning, operational coordination, and innovation management techniques, the course equips professionals to design, implement, and scale collaborative initiatives that deliver measurable public value, improve service outcomes, and accelerate institutional innovation. 

Course Objectives 

  1. Understand the principles and value of cross-agency collaboration for innovation.
  2. Identify institutional barriers and enablers to inter-agency cooperation.
  3. Apply innovation frameworks suitable for multi-agency environments.
  4. Design collaboration models aligned with shared strategic objectives.
  5. Strengthen governance structures for joint innovation initiatives.
  6. Apply stakeholder mapping and partnership management techniques.
  7. Use design thinking and agile methods in cross-agency projects.
  8. Integrate data sharing and digital platforms for collaborative innovation.
  9. Manage risks, accountability, and decision-making across agencies.
  10. Measure performance and impact of collaborative innovation programs.
  11. Foster leadership and culture that support collaboration and innovation.
  12. Resolve conflicts and manage power dynamics in partnerships.
  13. Develop actionable roadmaps for sustaining cross-agency innovation.


Organizational Benefits
 

  • Improved coordination and reduced duplication of efforts
  • Accelerated innovation through shared expertise and resources
  • Enhanced service delivery and policy outcomes
  • Stronger institutional trust and partnership effectiveness
  • Better use of data, technology, and collective intelligence
  • Increased agility in responding to complex challenges
  • Improved accountability and governance in joint initiatives
  • Cost efficiency through pooled resources and capabilities
  • Strengthened innovation culture across organizations
  • Sustainable collaboration models with measurable impact


Target Audiences
 

  • Senior public sector managers and directors
  • Policy makers and program leaders
  • Innovation and transformation officers
  • Project and change management professionals
  • Digital government and data leaders
  • Development and donor program managers
  • Inter-agency coordination units
  • Consultants supporting public sector innovation


Course Duration: 5 days

Course Modules

Module 1: Foundations of Cross-Agency Collaboration
 

  • Concepts and principles of inter-agency collaboration
  • Drivers of innovation in multi-institutional environments
  • Types of collaboration models and partnerships
  • Roles and responsibilities across participating agencies
  • Common challenges and success factors
  • Case Study: National innovation initiative involving multiple ministries


Module 2: Building Innovation Ecosystems
 

  • Understanding innovation ecosystems and networks
  • Mapping stakeholders and institutional interdependencies
  • Aligning mandates and strategic priorities
  • Engaging private sector and civil society partners
  • Designing ecosystem governance structures
  • Case Study: Cross-sector innovation ecosystem for service delivery


Module 3: Governance and Accountability Mechanisms
 

  • Governance models for joint innovation programs
  • Decision-making structures in collaborative projects
  • Managing accountability and shared ownership
  • Legal and policy considerations in inter-agency work
  • Performance reporting and oversight mechanisms
  • Case Study: Governance failures and lessons from a joint program


Module 4: Collaborative Innovation Tools and Methods
 

  • Design thinking for cross-agency problem solving
  • Agile and iterative approaches in public innovation
  • Co-creation workshops and labs
  • Rapid prototyping and pilot testing
  • Knowledge sharing and learning platforms
  • Case Study: Innovation lab co-created by multiple agencies


Module 5: Data Sharing and Digital Collaboration
 

  • Importance of data interoperability for innovation
  • Data governance and sharing agreements
  • Digital platforms enabling cross-agency collaboration
  • Managing privacy, security, and ethical concerns
  • Using analytics to support joint decision-making
  • Case Study: Shared data platform improving public services


Module 6: Leadership and Culture for Collaboration
 

  • Leadership roles in fostering collaborative innovation
  • Building trust and psychological safety across agencies
  • Incentives and motivation for collaboration
  • Managing institutional resistance and change
  • Developing collaboration competencies in teams
  • Case Study: Leadership-driven cultural transformation initiative


Module 7: Managing Risks and Conflict
 

  • Identifying risks in collaborative innovation projects
  • Risk-sharing and mitigation strategies
  • Conflict resolution and negotiation techniques
  • Managing power dynamics and competing interests
  • Sustaining momentum during implementation
  • Case Study: Conflict management in a multi-agency innovation project


Module 8: Measuring Impact and Scaling Collaboration
 

  • Defining KPIs for collaborative innovation
  • Measuring outcomes, impact, and public value
  • Learning and adaptation through monitoring results
  • Scaling successful pilots across institutions
  • Sustaining long-term collaboration frameworks
  • Case Study: Scaling a successful cross-agency innovation model


Training Methodology
 

  • Instructor-led presentations and facilitated discussions
  • Interactive group exercises and simulations
  • Collaborative workshops and design labs
  • Case study analysis and peer learning
  • Practical tools, templates, and frameworks
  • Action plan development and participant presentations


Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104

Certification                                               

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes             

a. The participant must be conversant with English.
 
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
 
c. Course duration is flexible and the contents can be modified to fit any number of days.
 
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
 
e. One-year post-training support Consultation and Coaching provided after the course.
 f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you. 

Course Information

Duration: 5 days

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