Design Thinking for Non-Technical Professionals
Design Thinking for Non-Technical Professionals is a comprehensive and actionable program tailored for managers, marketers, HR specialists, teachers, and anyone who aspires to solve real customer problems through systemic creativity—without needing programming skills or complex technical tools. This course is …
Overview
Design Thinking for Non-Technical Professionals is a comprehensive and actionable program tailored for managers, marketers, HR specialists, teachers, and anyone who aspires to solve real customer problems through systemic creativity—without needing programming skills or complex technical tools. This course is perfect for beginners and non-technical experts seeking to learn how to transform customer insights into innovative solutions using modern design thinking methodologies and practical AI tools.
Who Is This Course For?
- Managers seeking structured frameworks to innovate and improve services or products.
- Marketers who want to deeply understand customer needs and craft better value propositions.
- HR specialists aiming to enhance employee experiences and drive change initiatives.
- Teachers interested in fostering creative problem-solving and collaborative innovation among students.
- Anyone interested in leveraging creativity, user research, and AI for effective problem-solving—regardless of technical background.
What Will You Learn?
- How to extract powerful insights from user interviews and data, turning raw information into actionable knowledge.
- Formulate clear goals and value maps using the Value Proposition Canvas and JTBD (Jobs To Be Done) framework.
- Efficiently generate, filter, and develop ideas during short design sprints, both independently and with AI augmentation.
- Create rapid prototypes (paper, digital, and storyboards) and validate them with real users.
- Integrate cutting-edge AI tools—like ChatGPT, DALL-E, Miro AI, FigJam AI—across every design thinking phase, from research to testing.
Course Benefits
- Receive a full-fledged workbook (PDF + Google Docs) packed with checklists, interview templates, value maps, JTBD canvases, and AI-generated prompts.
- Access ready-made plans for both five-day and ten-day design sprints to accelerate team innovation.
- Utilize a set of 40 best “magic” prompt cards for LLMs, aiding research, idea generation, and prototyping.
- Develop a personal roadmap for implementing design thinking practices within your team or organization.
Skills You Will Gain
- Systematic user research and empathy mapping
- Problem framing and value definition
- Creative ideation and idea prioritization
- Rapid prototyping and user testing
- Design sprint facilitation and stakeholder management
- Metrics tracking and continuous improvement
- AI-powered research, prototyping, and process automation
By completing this course, you will:
- Confidently lead or participate in design sprints
- Use AI to supercharge every design thinking phase
- Deliver validated, user-centered solutions efficiently—without coding or technical overhead
- Empower your team to innovate sustainably and collaboratively
Curriculum
- 10 Sections
- 65 Lessons
- Lifetime
Expand all sectionsCollapse all sections
- 1. Introduction to Design Thinking8
- 1.1EV3G 1.1 What is Human-Centered Design
- 1.2EV3G 1.2 Five phases: Empathize-Define-Ideate-Prototype-Test
- 1.3EV3G 1.3 Myths and misconceptions
- 1.4EV3G 1.4 Team roles (Facilitator, Researcher, Maker)
- 1.5EV3G 1.5 🤖 GPT as an accelerator for problem research
- 1.6EV3G 1.6 Rapid online facilitation methods
- 1.7EV3G 1.7 Mini-project: choosing a problem for a sprint
- 1.8EV3G 1. Quiz3 Questions
- 2. User research9
- 2.1EV3G 2.1 Research planning: goals, hypotheses, screenings
- 2.2EV3G 2.2 Preparing an in-depth interview (guide + recruiting)
- 2.3EV3G 2.3 Observation and “shadow” research
- 2.4EV3G 2.4 🤖 Auto-generation of interview questions in ChatGPT
- 2.5EV3G 2.5 Data analysis: affinity-map & cluster-map
- 2.6EV3G 2.6 Persona and Empathy Map in 30 minutes
- 2.7EV3G 2.7 JTBD canvas: work, pain, gain
- 2.8EV3G 2.8 Artifact: insight map in Miro
- 2.9EV3G 2. Quiz3 Questions
- 3. Problem formulation and value maps8
- 3.1EV3G 3.1 Statement-How-Might-We: asking the right question
- 3.2EV3G 3.2 Value Proposition Canvas: step by step
- 3.3EV3G 3.3 🤖 LLM tips for generating HMW questions
- 3.4EV3G 3.4 Prioritizing pains & gains via RICE
- 3.5EV3G 3.5 SMART formula for a problem statement
- 3.6EV3G 3.6 Stakeholder alignment
- 3.7EV3G 3.7 Session: “elevator pitch” of the problem in 60 seconds
- 3.8EV3G 3. Quiz3 Questions
- 4. Ideation8
- 4.1EV3G 4.1 Brainwriting, Crazy 8s, SCAMPER
- 4.2EV3G 4.2 🤖 Co-ideation with a neural network: 3 techniques
- 4.3EV3G 4.3 Value × feasibility matrix
- 4.4EV3G 4.4 Storyboard: plot as a tool choice
- 4.5EV3G 4.5 The “THREE elephants” method for radical ideas
- 4.6EV3G 4.6 Dot-voting and ranking
- 4.7EV3G 4.7 Documenting the backlog of ideas
- 4.8EV3G 4. Quiz3 Questions
- 5. Prototyping8
- 5.1EV3G 5.1 Prototype levels: Lo-Fi vs. Hi-Fi
- 5.2EV3G 5.2 Paper and LEGO prototypes
- 5.3EV3G 5.3 🤖 Figma + FigJam AI: auto-generation of layouts
- 5.4EV3G 5.4 Click-dummy in Marvel POP and Maze
- 5.5EV3G 5.5 Wizard of Oz: service simulation without code
- 5.6EV3G 5.6 Test scenario plan
- 5.7EV3G 5.7 Guide: prototype budget < 50 €
- 5.8EV3G 5. Quiz3 Questions
- 6. Testing and interviews9
- 6.1EV3G 6.1 “Think out loud” method
- 6.2EV3G 6.2 Prototype KPIs: SUS, NPS, Time-on-Task
- 6.3EV3G 6.3 🤖 Automatic feedback collection and analysis with ChatGPT
- 6.4EV3G 6.4 Cognitive mapping results
- 6.5EV3G 6.5 Iterative cycles: test → fix → retest
- 6.6EV3G 6.6 A/B testing for non-techies (Google Optimize & Split-sheets)
- 6.7EV3G 6.7 Report preparation and story-telling of results
- 6.8EV3G 6.8 Decision: kill, restart or scale?
- 6.9EV3G 6. Quiz3 Questions
- 7. Design Sprints and Process Management8
- 7.1EV3G 7.1 Classic 5-day Sprint (Google Ventures)
- 7.2EV3G 7.2 Extended 10-day Format
- 7.3EV3G 7.3 🤖 AI Facilitator: Schedule, Timeboxes, Reminders
- 7.4EV3G 7.4 Sprint Documentation: Miro + Notion
- 7.5EV3G 7.5 Retrospective: “Mad-Sad-Glad” Templates
- 7.6EV3G 7.6 Managing Stakeholder Risks and Expectations
- 7.7EV3G 7.7 Smooth Transfer of Results to the Product Team
- 7.8EV3G 7. Quiz3 Questions
- 8. Implementation and Metrics8
- 8.1EV3G 8.1 Idea Funnel → Backlog → Roadmap
- 8.2EV3G 8.2 OKR & North Star Metric for Design Thinking
- 8.3EV3G 8.3 🤖 Auto-Generation of Dashboards in Looker Studio
- 8.4EV3G 8.4 Experimentation Culture and “Fail Fast”
- 8.5EV3G 8.5 Team Training: Mentoring sessions
- 8.6EV3G 8.6 Scaling tools (DesignOps)
- 8.7EV3G 8.7 Continuous improvement plan
- 8.8EV3G 8. Quiz3 Questions
- 9. Using AI in design thinking8
- 9.1EV3G 9.1 AI tools overview: text, image, data generation
- 9.2EV3G 9.2 Prompt engineering for research and ideas
- 9.3EV3G 9.3 🤖 Script: automated interview analysis (transcript → insight)
- 9.4EV3G 9.4 Prototype synthesis models (Uizard, Visily AI)
- 9.5EV3G 9.5 Risk management: bias and ethics in generation
- 9.6EV3G 9.6 Integration of AI agents into sprints (auto-notuols, time-keeper)
- 9.7EV3G 9.7 Future: human + machine cognitive collaborations
- 9.8EV3G 9. Quiz3 Questions
- EV3G FinalQuiz1
Instructor
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Course Features
- Lectures 65
- Quizzes 10
- Duration Lifetime access
- Skill level Beginner
- Language English
- Students 54
- Certificate Yes
- Assessments Yes
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