CCG Catalyst 4D methodology follows a structured and collaborative approach that involves the bank’s leadership, stakeholders, and employees. The methodology consists of the following phases:

DISCOVERY
The first step of our approach is to acquire knowledge about your business, your customers, your competitors, and your industry. We do this by conducting extensive research, interviews, surveys, and observations. We also use tools such as customer journey maps, personas, and empathy maps to understand your customers’ needs, pain points, and motivations. By doing this, we gain a deep and holistic understanding of your business context, and we can identify the most relevant and pressing problems to solve.

DEFINE
The second step of our approach is to explore the knowledge we gathered in the previous step, and to define the problem statement and the desired outcome.
We do this by analyzing the data, finding patterns and insights, and synthesizing the information into a clear and concise statement of the challenge. We also use
tools such as problem framing, how might we question, and point of view statements to articulate the problem from the perspective of your customers and stakeholders. By doing this, we ensure that we are solving the right problem, and that we have a shared vision of the goal.

DIVERGE
The third step of our approach is to collaborate with you and your team to explore and discuss possible ideas or solutions for the problem. We do this by using brainstorming, ideation, and prototyping techniques to generate a wide range of options, without limiting ourselves by preconceived assumptions or constraints. We also use tools such as mind maps, sketches, storyboards, and mockups to visualize and test our ideas. By doing this, we foster creativity and innovation, and we can discover new and unexpected solutions that meet your customer’s needs and expectations.

DEFEND
The fourth and final step of our approach is to justify and validate the chosen solution or strategy. We do this by using feedback, evaluation, and iteration techniques to refine and improve our solution, and to measure its impact and effectiveness. We also use tools such as feedback loops, user testing, and metrics to collect and analyze data, and to demonstrate the value and feasibility of our solution. By doing this, we ensure that our solution is not only desirable and viable, but also scalable and sustainable.