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The most natural way to approach the design process is what can be termed ‘reactive.’

That is, to start with a basic idea and use that as a foundation on which to build the solution, making changes and improvements by reacting to feedback received along the way. That approach has been found to be deeply flawed over the years for a number of reasons. Design thinking overcomes these drawbacks with an organized approach to design using data that is gathered at a very early stage in the process. This data could be sourced from analytics, customer feedback, surveys, market research, and much more.
Design Thinking…
• Keeps human need at the center of the process.
• Aims to make solutions simple and intuitive.
• Requires teamwork and collaboration.
• Brings multiple voices into the problem solving process, rather than the conventional way of brainstorming with a creative core team of designers or marketing experts.
• Challenges ingrained patterns of thinking.
• Encourages the team’s commitment to the solution by making stakeholders a part of the solution.
• Can be used on the complete product or a small part of the product.
• Can be used to improve a process end-to-end or be applied to a subset of the process.

There are 5 stages in the Design Thinking process.
Empathize
While solving a problem, it is essential to look at the root cause of a problem. Empathy is necessary to ensure that you don’t end up fixing a symptom of the problem rather than the problem itself. More intuitive solutions can be achieved by immersing in the user experience completely.
Empathizing to reduce pesticide residue in produce

A company called Winka Farm in Maharashtra,, Pune supplies agricultural produce to select clientele, among them The Taj Group of Hotels in Mumbai. They had an issue with regards to the produce they were receiving from their farms. It had a high residue of pesticides. The farmers to which these farms were contracted were given all optimum equipment such as saplings, fertilizers, pesticides, etc. as well as access to technology. The simplest solution here was to set a prescribed limit for pesticide levels and penalize the farmers who failed to meet it. However, Winka Farm decided to investigate the matter by talking to the farmers about it. Over several dialogues, the company realized that the farmers, who had had little formal education, were not clear about the most effective ways to use pesticides. They lacked understanding about the lifecycle of the pest larvae and its correlation with the quantity of pesticide required. The company then decided to provide graphic charts explaining the correct use of pesticides. The contract farmers were also educated on agricultural techniques for minimizing the use of pesticides, such as spraying early on during an infestation, use of newer generation insecticides with fume action that sterilize pest eggs, and the use of chemical-free techniques such as moth traps to catch insects before they lay eggs. This empathic approach worked. Winka farm noted that the farmers now found it easy to stay well below the desired level of pesticides in the product. They also established a better rapport with their contractors and strengthened their working relationship by basing it on trust and empathy.

Sense Making
While trying to make sense of the data from discovery, deep rooted beliefs and ideas need to be questioned. It is vital to be able to define the problem correctly, so that you don’t end up solving the wrong problem. After interpreting data and finding patterns, the outcome of this stage should be a human centric problem statement.
Making sense of why kids don’t sleep

A daycare center that found difficulty getting children to nap was considering re-designing the sleeping area. However, on inspection of data and through conversation with the staff, they hit upon something surprising. The children were not getting enough physical activity during the day. As a result of this, they would not be tired enough when it was time to nap. Instead of redesigning the sleeping area, they decided to implement a more active curriculum. They also added more toys and equipment to the play area that encouraged movement and physical activity, such as skipping ropes and swings. Interpreting the data correctly helped them resolve their problem more effectively and at a much lower cost.