Mulago's Strategy

1. Idea - actively trying out new ideas and methods to develop innovative solutions.

2. Replicable Model 1.0 - disseminating knowledge gained from innovation projects to a wider audience.

3. Persuasive Case For Impact - assigning tasks that require cross-functional collaboration and perspectives.

4. Rigorous Case For Impact - refers to the robust and thorough evidence demonstrating that the solution or model in question produces a significant positive change.

5. Big Enough - using methods designed to be adaptable and sustainable for future challenges.

6. Big Enough - spreading the knowledge gained from innovation projects across different contexts.

7. Systematic Model - conducting trials to assess the viability and effectiveness of innovations.

8. Replicable Model 2.0 - preserving and utilising the accumulated knowledge and experience within an organisation.

9. Actually Replicated - building connections and collaborations between innovators and organisations.

10. Big Shift Ready - each of the elements (doer, payer, tech, model, policy and collective action) on the list considered; those that are relevant are in process.

11. Doable Model - repeatedly refining and improving innovations based on feedback and results.

12. Scalable 1.0 - providing resources and conditions conducive to thorough testing of innovations.

13. Simple Enough - sharing narratives of innovation successes and lessons learned.

14. Scalable 2.0 - continuously measuring the impact and progress of innovations as they are implemented.

15. Simple Enough - exchanging effective practices and strategies for innovation.

16. Honed Model - providing clear evidence of the advantages brought by innovation.

17. Systems Sorted - integrating evaluation processes into the implementation of innovations.

18. Cheap Enough - encouraging cooperation and joint efforts between different departments.

19. Costs Sorted - exchanging insights and experiences gained from innovation projects.

20. Cheap Enough - cheap enough for your payer-at-scale to pay.

21. Policy - refers to the set of regulations, laws, or guidelines that create more demand for the solution or lower the barriers to its implementation.

22. Doer Takes On Burden - entity responsible for implementing the model or solution at scale assumes the full responsibility for its execution, ensuring that the same level of impact is achieved as initially demonstrated.

23. Collective Action - involves creating synergy through a network, platform, or movement.

24. Model Adopts Bigger Distribution Channel - leveraging larger and more widespread channels to disseminate and implement the model.

25. Payer Takes On Burden - entity responsible for funding the implementation of the model or solution at scale assumes the full financial responsibility for its ongoing execution.

26. Tech - refers to the incorporation of emerging technologies into the core model to enhance its reach, efficiency, and impact.

27. Model Expansion - involves allowing it to work in a broader range of settings and situations.

28. Model Simplification - this process makes the model easier to replicate by reducing its complexity.

What is the main idea behind your innovation?

How is your model organized, and why is it practical?

What evidence do you have to show that your model works?

How are you preparing for a major change, considering factors like Doer, Payer, Tech, Model, Policy, and Collective Action?

What significant problem does your model address?

How have you learned to make your model bigger, simpler, and cheaper?

How would you describe the clarity and organization of your model?

What improvements have been made to your model, and how have others successfully copied it?

In what ways has your model been refined and improved?

What are the current costs of your model, and how are they changing?

What steps are needed to realistically achieve and implement your model?

How does your model make an impact, stay simple to use, and remain affordable?

How can others use your model easily?

What systems are in place to help others easily copy your model?

Where do you think your model can be used most effectively?

How are costs managed and systems put in place?

How have you calculated costs and found ways to save money?

What makes your model affordable for those who need it?

How many times has your model been copied to prove its effectiveness?

What unnecessary parts have you removed to simplify your model?

How can a larger distribution network improve efficiency and quality for your model?

What strong and reliable evidence shows that your model works well?

Which policy changes might affect your progress, and how can you safeguard your model’s impact?

What changes will make your model easier and cheaper to use?

What methods will help others start using and spreading your model?

What strategies will you use to shift payment responsibilities from donors to governments or customers?

Which technologies will make your work more efficient and help you reach more people?

What adaptations can you make to ensure your model works in more places?