Turn a challenge, opportunity, or emerging need into a structured process for understanding the situation, generating possibilities, prototyping ideas, and learning what works.
A design project does not begin with a predetermined solution. It creates a disciplined process for discovering what might be possible.
1. Frame → 2. Understand → 3. Reframe → 4. Imagine → 5. Prototype → 6. Test → 7. Develop → 8. Learn
Start with the challenge, not the solution.
What situation are you trying to improve? Who experiences the problem? What makes it important now?
Avoid framing the project around something you have already decided to build.
Do this
Describe the challenge in plain language.
Identify who experiences it.
Define the initial scope.
Write down your major assumptions.
Identify what you do not yet understand.
Help me do it
[Ask ChatGPT] [Work with Claude] [Open Design Brief] [See Example]
You're done when: You have a clear challenge worth exploring without prematurely defining the solution.
Learn how people actually experience the situation.
Go beyond reports and institutional assumptions.
Use interviews, observation, conversations, existing data, journey mapping, stakeholder analysis, and other forms of inquiry.
Pay attention to differences in perspective, incentives, constraints, behavior, and lived experience.
You're done when: You can describe the challenge from several perspectives, including those of the people most affected.
Reconsider what the problem might actually be.
Compare your initial assumptions with what you discovered.
Ask:
What surprised us?
What did we misunderstand?
What patterns are appearing?
Are different stakeholders experiencing different problems?
What problem would be more useful to solve?
Develop several alternative problem framings before choosing one.
Help me think
[Reframe with ChatGPT] [Work with Claude] [Use Systems Tools]
You're done when: Your current framing reflects what you learned rather than simply restating the original brief.
Generate multiple possibilities.
Do not immediately converge on the most familiar or practical idea.
Explore:
conventional solutions
low-cost possibilities
institutional changes
service changes
technology-enabled approaches
combinations of existing approaches
ideas borrowed from other sectors or places
deliberately unconventional possibilities
Use AI to expand the range of possibilities, not merely select a solution.
You're done when: You have several genuinely different approaches worth exploring.
Make promising ideas tangible quickly and inexpensively.
A prototype could be:
sketch
storyboard
mock-up
role-play
process map
simulated service
simple digital prototype
temporary organizational arrangement
small field experiment
Build only enough to learn something important.
You're done when: Someone can experience, react to, or test the idea rather than merely discuss it.
Put prototypes in front of real users and stakeholders.
Observe what happens rather than asking only whether people "like" the idea.
Look for:
confusion
unexpected behavior
resistance
workarounds
enthusiasm
unintended consequences
implementation barriers
new possibilities
You're done when: Evidence from testing has challenged or strengthened the assumptions behind the design.
Turn what you learned into a stronger version.
Combine, modify, simplify, or discard ideas.
Determine what would be required for implementation, including partners, resources, institutional arrangements, technology, capabilities, and further testing.
At this point, the design project may transition into another ASG pathway:
[Start a Project] [Start a Lab] [Start a Course] [Start a Fellowship] [Start Research]
You're done when: There is enough evidence to decide what should happen next.
Capture what the design process revealed.
Document:
important insights
assumptions that proved wrong
prototypes tested
evidence collected
ideas abandoned
unresolved questions
promising opportunities
recommendations for the next iteration
Do not treat unsuccessful prototypes as failures. Their value is the learning they generate before larger commitments are made.
You're done when: The learning can inform the next design cycle or another ASG initiative.
[Global] [Pakistan] [Nepal] [Senegal] [Philippines]
Select a country to see relevant users, partners, examples, design resources, institutional considerations, and locally adapted tools.
Understand before solving.
Generate before choosing.
Prototype before committing.
Learn before scaling.
The purpose of the pathway is not to make innovation predictable. It is to create enough structure around the process that teams can explore uncertainty without becoming lost in it.
Start with Step 1: Frame →