Why Design Thinking?
Design thinking is “human-centred,” which means Kainjoo uses evidence of how consumers engage with your product or service rather than how someone else or an organization thinks they will engage with it.
To be genuinely human-centred, designers watch how people use a product or service and continue to refine the product or service to improve the consumer’s experience.
This is the “iterative” part of design thinking.
It favours moving quickly to get prototypes out to test rather than ongoing rumination.
How Kainjoo might help?

Step 1: Understanding the problem
Creating personas, listing pain points and challenging assumptions with research makes a data-backed point of view built on the user’s needs and insights.
Step 2: Ideation of a solution
Developing a solution based on the insights gathered, making everyone around the table participate.
Step 3: Prototype your solution
Kainjoo will use mockups, storyboards, 3D models, or paper prototypes. This stage is about creating a minimum set of functions or a representation of ideas that can be tested with your audience.
Step 4: Evaluate and adjust
Testing your prototype with potential users by asking open questions to understand any flaws in the solution and what works well. Working quickly and failing fast contributes to refining the problem statement & develop new adjustments based on data.
Measurable Business Outcomes
Step 1: Understanding the problem
Creating personas, listing pain points and challenging assumptions with research makes a data-backed point of view built on the user’s needs and insights.
Step 2: Ideation of a solution
Developing a solution based on the insights gathered, making everyone around the table participate.
Step 3: Prototype your solution
Kainjoo will use mockups, storyboards, 3D models, or paper prototypes. This stage is about creating a minimum set of functions or a representation of ideas that can be tested with your audience.
Step 4: Evaluate and adjust
Testing your prototype with potential users by asking open questions to understand any flaws in the solution and what works well. Working quickly and failing fast contributes to refining the problem statement & develop new adjustments based on data.


















