Innovation and Design Thinking: A Comprehensive Approach

Innovation Drivers

Creating a sense of urgency involves establishing new organizational goals and generating new ideas for meeting these goals. This can be a resource, process, or condition that is vital for the continued success and growth of a firm.

External Drivers

  • Technological advances
  • Changes in customer needs
  • Changes in environments and contexts
  • Intensified competition

Internal Drivers

  • Strategic intent of the firm (vision, goals set, ambitions, adequate strategy)
  • Organizational factors (leadership, talent, motivation)

Most Influential Drivers: Access to new resources, technology, talent acquisition, leadership, vision, and understanding of the current competitive context.

Convergent and Divergent Thinking

Convergent Thinking: Logical, analytical, focusing on established rules, past data, existing solutions, and perceptions.

Divergent Thinking: Associative thinking, associating unrelated and unconnected ideas, lateral thinking.

Key Differences

Convergent Thinking: Controlled and conscious, aiming to reach an optimal solution.

Divergent Thinking: Spontaneous, uncontrolled, fast, non-linear thinking.

Design Thinking combines both convergent and divergent thinking at all stages:

  1. Divergent Thinking: Examine ideas and insights.
  2. Convergent Thinking: Share a common point of view and arrive at a solution.

Aim: To set aside assumptions, prejudices, and norms, achieving the best outcome at each stage.

Advanced Design Thinking Approach

Utilizes both convergent and divergent thinking.

  • Human-centric, focusing on both convergent and divergent thinking.
  • Addresses both the solution and problem space.
  • Collaboration with experts from different fields.
  • Co-ideation.
  • Customer and potential partners are involved in the process from the beginning to get immediate feedback.
  • Testing prototypes instead of design concepts or mathematical models (trial and error iterations).

Critical Analysis

  • Customer and partner-centric proposals improve the methodology.
  • Data-driven instead of perception-driven.
  • Study more similar existing solutions.
  • Requires training and help from experts.

Understanding Stage

Learn about the problem’s context, causes, effects, and relationships to address the design challenge, aiming to find a potentially viable solution.

Goal

Fully understand the problem, generate clarity about the vision, and establish the main hypothesis and directions to solve the problem.

Results

Ownership of the problem, its scope, and causes. External analysis identifies key facts and figures about the problem. Recognize symptoms and opportunities to solve the problem.

Tools: Stakeholder map, PESTLE analysis, SWOT analysis.

Four Main Types of Data in the Observation and Research Stage

Learn the maximum about the user, their needs, perceptions, and desires. Validate the problem and design challenge drafts.

  1. Data about potential users’ profiles: Demographic data (age, gender, income) and behavioral data.
  2. Data to validate problem statement drafts and hypotheses about the problem: Customer perceptions of the problem statement’s position.
  3. Data and opinions about existing alternatives: Perceptions of the ideal solution.
  4. Data to validate the design challenge draft and hypotheses about the design challenge.

Objectives

  • Redefine the problem statement and design challenge.
  • Develop an empathetic approach to the target user’s life.
  • Better understand their needs, the user’s environment, and daily life.
  • Gain a deeper understanding of their behavior, preferences, and motivation.

Tools: Surveys, interviews, focus groups.

Point of View Stage

Reframing the design challenge draft into a meaningful and actionable design challenge.

  • Grounding ideation, establishing common knowledge for the solution space.
  • Providing a common framework.
  • Providing a wide scope for the team to think about solutions beyond the status quo.

Purpose

Allow designers immersed in the user’s experiences to understand their challenges, motivations, and emotions. Empathy allows the development of solutions that truly resonate with users and their needs, narrowing down the scope.

Critical Analysis

  • Solutions are relevant and meaningful to users.
  • Helps designers focus on solving identified user needs.
  • Solutions have a real impact on the user’s life through meaningful implementation.

Ideation Techniques

Move from research findings to actionable service concepts and designs.

Techniques: Brainstorming, SCAMPER, Brainwriting.

Prototypes

Test the design concept to approve or reject it.

Examples: Mock-ups, 3D prints, simulation software.