The Product Design for Learning Podcast

Greg speaks with Kenny Temowo about leadership development, organizational culture, and the impact of AI on the future of work. They explore Netflix's innovative culture, traditional vs. modern leadership programs, and the evolving role of AI in leadership and organizational change.

In this episode, Greg Arthur hosts a lively discussion with Sarah Wood and Paul Morgan on the nuances of measuring ROI in L&D. They explore why traditional metrics often fall short and how organisations can better understand the real impact of their learning initiatives.

Key Topics

1. Differentiating between learning impact and financial ROI
2. The importance of measuring behaviour change, not just activity completion
3. The role of organisational culture in shaping learning outcomes
4. Practical approaches to quantifying value beyond financial metrics
5. The myth of quick ROI from isolated learning interventions
6. How to foster honest conversations about measurement challenges
7. The danger of over-complicating simple problems in L&D
8. The importance of community sharing real, transparent results
9. Strategies for starting conversations that uncover true organisational needs
10. Building pragmatic, evidence-based learning strategies aligned with business outcomes

Timestamps

1. (00:00) - Introduction to the focus on ROI in learning
2. (02:39) - The challenge of measuring ROI in learning activities
3. (04:23) - How ROI in learning is tied to business impact
4. (08:00) - Beyond financial metrics: understanding emotional and cultural value
5. (12:15) - Rethinking onboarding for measurable impact
6. (16:16) - The influence of organisational culture on learning outcomes
7. (23:10) - Using simple, targeted data to measure error reduction
8. (28:00) - The significance of relevance in learning content
9. (33:10) - Practicing pragmatic measurement approaches
10. (39:20) - The importance of partnering with business teams for results
11. (45:17) - The need for community transparency in success and failure
12. (55:46) - Honest conversations about the real impact of learning initiatives
13. (60:09) - Practical tips for starting measurement conversations

Additional Notes

1. Emphasise simple, practical measurement methods over complex data models
2. Cultivate honest dialogues with stakeholders about what can and cannot be measured
3. Focus on impact areas like engagement, behavior, and culture as well as financial outcomes
4. Recognize the importance of community sharing of successes and lessons learned
5. Be pragmatic: start conversations, ask “what if we did nothing,” and adjust strategies accordingly

This episode challenges traditional notions of ROI and encourages learning professionals to adopt more flexible, honest, and impactful measurement practices. Let’s stop over-complicating and start focusing on what truly moves the needle.

Summary

In this episode, Greg Arthur and Stephen Egri delve into the complexities of learning strategies within organizations. They discuss the importance of understanding what a learning strategy entails, the various components that make up an effective strategy, and the role of technology, particularly AI, in shaping the future of learning. The conversation highlights the challenges organizations face in implementing these strategies and emphasizes the need for stakeholder engagement and data-driven decision-making. As they explore trends in learning strategy development, they conclude with insights on how learning functions can evolve to better serve their organizations.

Takeaways

Learning strategy is often seen as a complex and evolving field.

There is no one-size-fits-all approach to learning strategies.

Effective learning strategies should be in service of organizational goals.

Technology, especially AI, plays a crucial role in modern learning strategies.

Stakeholder engagement is essential for successful learning strategy implementation.

Learning functions should operate more like profit centers.

Data-driven decision-making is vital for effective learning strategies.

Testing and iteration are important in developing learning strategies.

The future of learning will involve orchestration of various elements.

Understanding employee needs is key to developing effective learning strategies.

Titles

Navigating the Complexities of Learning Strategy

The Future of Learning: AI and Strategy

sound bites

"Learning strategy is gigantic."

"AI can show up in terms of skills mapping."

"The future of learning is orchestration."

Chapters

00:00 Introduction and Podcast Setup

00:12 Understanding Learning Strategy

03:00 The Complexity of Learning Strategies

05:36 Common Features of Learning Strategies

08:34 The Role of Technology in Learning

11:14 The Importance of Stakeholder Engagement

14:14 The Future of Learning Strategies

21:13 Understanding Learning Strategies

24:38 The Importance of Employee Feedback

27:14 Testing and Experimentation in Learning Strategies

30:39 The Role of Learning Functions in Organizations

35:05 AI's Impact on Learning Strategies

42:53 Future Trends in Learning Ecosystems

Keywords

learning strategy, organizational development, AI in learning, talent development, learning ecosystems, employee engagement, training effectiveness, learning technology, workforce development, educational frameworks

Summary

In this episode of the Product Design for Learning podcast, hosts Greg Arthur, Ashley Hinchcliffe, and Caleb discuss the evolving landscape of Learning and Development (L&D). They explore the challenges faced by internal L&D teams, the importance of external support, and the need for a shift in how L&D is perceived within organizations. The conversation emphasizes the necessity for L&D to align with business objectives, embrace change, and focus on delivering tailored learning experiences that add real value. The role of technology and the future of learning are also key themes, highlighting the importance of adapting to new methods and tools to enhance learning outcomes.

Takeaways

L&D is facing an identity crisis and needs to adapt.

External agencies can provide valuable insights and challenge internal teams.

There is a need for L&D to align with business objectives.

Quality over quantity is essential in learning content.

The perception of L&D as a cost center must change.

Engagement and value perception are critical for L&D success.

Tailored learning experiences are more effective than generic content.

Technology can enhance learning but must be used wisely.

L&D should focus on measurable outcomes and business impact.

Collaboration between internal teams and external agencies is vital for success.

Titles

Reimagining Learning and Development

The Future of L&D: Challenges and Opportunities

sound bites

"L&D is dying or has an identity crisis."

"We're at the beginning of a rebirth."

"We need to challenge the status quo."

Chapters

00:00 Introduction and Guest Introductions

02:29 The Importance of External Perspectives in L&D

05:12 Challenges Facing L&D: Identity Crisis or Rebirth?

08:09 The Role of External Agencies in L&D

10:55 Navigating Organizational Dynamics and Value Perception

13:53 Reframing L&D's Value Proposition

16:40 The Future of L&D: Confidence and Investment

22:57 The Evolving Role of Learning and Development

24:34 Aligning Learning with Business Strategy

27:09 Rethinking Content Creation in L&D

30:23 The Challenge of Content Overload

33:01 The Future of Learning: Personalization and AI

40:45 Proactive vs Reactive Learning Strategies

43:46 Collaboration Between Agencies and Internal Teams

Keywords

L&D, learning and development, external agencies, internal teams, business strategy, training, education, corporate learning, engagement, value perception

Summary

In this engaging conversation, Greg Arthur and Toby discuss the current state of Learning and Development (L&D) models, the challenges posed by outdated frameworks, and the impact of ego on the industry. They explore the necessity for flexibility in learning models, the role of AI in education, and the importance of self-awareness for personal growth. The dialogue emphasizes the need for a shift in mindset within L&D, advocating for a focus on individual development rather than rigid adherence to traditional models. The conversation concludes with reflections on the future of L&D and the potential for new approaches to emerge.

Takeaways

L&D is facing a crisis with outdated models.

Ego plays a significant role in the adherence to traditional models.

Self-awareness is crucial for personal and professional growth.

AI is transforming the landscape of L&D.

Flexibility in learning models is essential for modern education.

The focus should shift from organizational needs to individual development.

Challenging existing models can lead to better outcomes.

The importance of questioning the effectiveness of current practices.

Learning styles should not be dismissed but adapted to individual preferences.

The future of L&D requires innovative thinking and adaptability.

Titles

Revolutionizing Learning and Development

The Ego Trap in L&D

Sound bites

"Models need to be flexible."

"Self-awareness is a skill."

"The Royal Rumble of ROI."

Chapters

00:00 Introduction and Context Setting

02:14 The State of Learning and Development Models

05:12 Challenging Outdated Models

08:12 The Role of Ego in Learning and Development

10:53 The Impact of AI on Learning and Development

13:43 Navigating Change in Learning and Development

16:34 The Future of Learning and Development

24:55 The Impact of AI on Learning and Development

27:56 The Future of L&D in the Age of AI

33:36 The Need for a Shift in Mindset

39:11 Developing Self-Awareness in Learning

43:35 Integrating AI with Human Insight

45:49 Questioning Learning Models

48:47 The Debate on Learning Styles

51:49 The Role of Learning Design

55:37 Measuring ROI in Learning

59:23 The Complexity of Development

01:05:21 The Importance of Discourse

Keywords

Learning and Development, L&D Models, Ego in Learning, AI in Education, Self-Awareness, Flexibility in Learning, Future of Learning, Personal Growth, ROI in Learning, Modern Learning Strategies

In this conversation, Greg Arthur and Nick Shackleton Jones explore the critical distinctions between education and learning, emphasizing the need for experience design in learning environments. They discuss the influence of social media on learning and development, the challenges posed by traditional learning models, and the importance of context in creating effective learning experiences. The conversation highlights the disconnect between theory and practice in learning, the rituals that often hinder progress, and the necessity for organizations to embrace real learning experiences over superficial metrics. In this conversation, Greg Arthur and Nick explore the evolving landscape of Learning and Development (L&D), discussing the moral dilemmas faced by professionals in the field, the impact of AI on education, and the importance of performance support and experience design. They delve into the challenges of leadership, the disillusionment many feel within the industry, and the need for a shift towards more meaningful learning experiences. The discussion highlights the reactive nature of the industry, the role of compliance, and the future of learning management systems, ultimately emphasizing the necessity of swimming against the tide to create impactful learning environments.

Titles

Rethinking Education and Learning

The Influence of Social Media on Learning

Sound bites

"Why don't people change?"

"It's a moral dilemma in L&D."

"Do I want to step out of line?"

Chapters

00:00 Education vs. Learning: A Fundamental Distinction

05:47 Conformity and Resistance to Change in Learning

11:19 Experience Design: Lessons from Other Industries

17:13 Transformative Experiences: The Power of Small Interactions

27:57 The Disconnect in Job Advertisements

32:47 Adapting 5DI for Real-World Applications

39:38 The Metrics of Success in Learning

50:06 The Birth of Learning Design

55:33 Revolutionizing Training for New Consultants

01:00:37 The Role of Learning Management Systems (LMS) and Experience Platforms (LXP)

01:06:49 The Evolution of Wearable Technology and User Experience

01:16:13 Swimming Against the Tide: The Role of Learning in Growth

Keywords

education, learning, experience design, social media, learning development, instructional design, performance support, data-driven learning, organizational change, engagement, Learning and Development, AI in Education, Performance Support, Experience Design, Leadership, Compliance, Future of Learning, Technology in Learning, Social Impact of AI, Career Choices in L&D

Takeaways

Education and learning are fundamentally different concepts.

Social media influences the way learning and development discussions occur.

Traditional learning models often fail to engage learners effectively.

Experience design is crucial for creating impactful learning experiences.

Contextual understanding is essential for effective learning.

Small details in experience design can lead to significant learning outcomes.

There is often a disconnect between learning theory and practical application.

Organizations may adopt new language without changing underlying practices.

Real learning experiences are often neglected in favor of traditional methods.

Data-driven approaches in learning can sometimes lead to superficial metrics. It's a moral dilemma in L&D to choose between compliance and making a difference.

Career choices in L&D often lead to a personal decision about impact.

There's a dichotomy in available roles in the learning industry.

AI is set to hollow out traditional education roles.

Performance support is a key area where human input is still needed.

Leadership skills are crucial for business performance.

Disillusionment is common among L&D professionals today.

AI's role in learning conferences often lacks real impact.

The future of learning design is evolving but still needs clarity.

An agency model could revolutionize how learning is delivered.

Summary

The conversation explores the significant changes occurring in the industry, focusing on the relevance of skills, the importance of positioning, and the need for professionals to adapt to stay competitive. It highlights the varying responses individuals have to these changes, from actively engaging to feeling left behind.

Takeaways

Our industry is undergoing significant transformation.

The relevance of existing skills is in question.

Many professionals feel unprepared for these changes.

Positioning in the market is often neglected.

Adapting to new skills is essential for success.

There is a disparity in how individuals respond to change.

Some are actively pursuing new opportunities, while others are passive.

Professional development must be prioritized.

Understanding market dynamics is crucial for career growth.

Engagement with industry changes is necessary for relevance.

Titles

Navigating the Shifting Landscape of Our Industry

The Relevance of Skills in a Changing World

Sound bites

"Chasing the bus is not enough anymore"

"We need to adapt to stay relevant"

"Understanding market perception is key"

Chapters

00:00 Introduction to the Conversation

00:27 The State of Learning and Development (L&D)

Keywords

industry change, skills relevance, market positioning, professional development, career adaptation

In this conversation, Adam Harwood discusses the integration of AI in talent development and the importance of knowledge sharing within organizations. He emphasizes the need for curiosity and experimentation with AI tools, sharing personal experiences from workshops and internal sessions. The dialogue explores user stories, real-world applications, and the future of AI in HR, highlighting the significance of creating a culture that encourages exploration and collaboration.

Takeaways

AI is a tool that can enhance talent development.

Knowledge sharing is crucial for effective AI integration.

Curiosity and experimentation are key to leveraging AI.

User stories help illustrate practical applications of AI.

Creating a culture of experimentation fosters innovation.

It's important to start with real problems when using AI.

Don't hesitate to share failures; they can be learning opportunities.

Mixing different AI tools can optimize processes.

Engaging in dialogue about AI can spark new ideas.

The future of work will require continuous learning and adaptation.

Titles

Unlocking AI's Potential in Talent Development

Navigating the AI Landscape in the Workplace

Sound bites

"You can't spell AI without HR."

"AI can help solve real problems."

"Don't rely on one tool, mix it up."

Chapters

00:00 Introduction to Adam Harwood and Genomics

02:52 Exploring AI in Talent Development

08:42 Understanding AI Fundamentals and Learning

14:26 Knowledge Sharing and Internal Sessions

20:19 User Stories and Practical Applications of AI

22:19 Exploring AI Tools: A Hands-On Approach

24:06 Real-World Applications of AI in Engineering

26:01 Identifying Real Problems for AI Solutions

27:28 The Impact of AI on HR Processes

29:11 User Stories: Individual Experiences with AI

31:36 Creating a Culture of Sharing and Experimentation

34:06 Navigating Permission and Social Acceptance of AI

38:09 Encouraging Experimentation and Curiosity with AI

41:23 Identifying Problems to Apply AI Solutions

42:35 Fostering Team Collaboration and Sharing Ideas

44:59 Embracing Experimentation and Learning from Failure

47:53 The Simplicity of AI Interfaces and Accessibility

49:53 Building an AI Tech Stack and Continuous Learning

52:46 Exploring AI Use Cases and Industry Trends

55:11 The Future of Work and AI's Impact on Jobs

Keywords

AI, Talent Development, Knowledge Sharing, User Stories, Workplace Innovation, Learning and Development, AI Tools, Human-Centered Design, Future of Work, Experimentation

The Product Design for Learning Podcast - sponsored by Two Circles Design Studio.

Learning Network discount code for CONNECT, is: twocircles10

Takeaways

The Learning Network fosters a sense of belonging among its members.

Community is built on trust and openness, allowing for safe discussions.

Members range from newcomers to seasoned professionals, creating a diverse environment.

The network provides opportunities for mentorship and professional growth.

Success is measured qualitatively through member feedback and engagement.

AI is a hot topic among members, with mixed feelings about its impact.

The network evolves naturally with each new board, reflecting member needs.

Events like Tea and Talk encourage informal networking and sharing.

The Connect event focuses on the intersection of technology and humanity.

The human element remains crucial in the face of technological advancements.

Summary

In this episode of the Product Design for Learning podcast, Greg Arthur engages with members of the Learning Network to explore the significance of community in learning and development. The discussion highlights the importance of belonging, the impact of the network on its members, and the transition from being a member to a board member. The conversation also delves into how success is measured within the network, current trends such as AI, and the future of the Learning Network, culminating in an overview of the upcoming Connect event.

Timestamp

00:00:01

Titles

Building Community in Learning and Development

The Power of Belonging in Professional Networks

Sound bites

"The Learning Network fosters a sense of belonging."

"Community is built on trust and openness."

"AI is a hot topic among members."

Chapters

00:00 Introduction to the Learning Network

02:55 Understanding Community in Learning and Development

05:44 Creating a Sense of Belonging

08:25 Impact of the Learning Network

11:34 Personal Growth and Opportunities

14:19 Measuring Success in the Learning Network

17:04 Current Trends and Concerns in L&D

19:43 Innovation and Evolution in the Learning Network

21:22 Innovation Through Community Engagement

25:31 Exploring Learning Communities

27:30 The Future of Learning Networks

31:43 Connect Event Insights

Keywords

skills frameworks, performance improvement, learning and development, EdTech, agile learning, AI in education, stakeholder engagement, data analytics, organizational culture, continuous improvement

Summary

In this conversation, Greg Arthur and Phil Lord-David delve into the complexities of skills frameworks within the learning and development (L&D) sector. They discuss the importance of starting with business outcomes rather than merely mapping skills to roles, the pitfalls of traditional frameworks, and the need for agility and iteration in skills development. Phil emphasizes the significance of understanding the real problems within organizations and the role of technology, particularly AI, in enhancing skills frameworks. The discussion also touches on the cultural context of skills, the separation of skills from performance, and practical steps for building effective skills frameworks.

Takeaways

Starting with the right questions is crucial for success.

Focus on business outcomes rather than just skills mapping.

Agility and iteration are key in skills development.

Understand the real problems employees face.

Technology should enable insight, not just track completions.

Skills frameworks should evolve over time.

Engage with senior leadership to align on goals.

AI can help make skills development more manageable.

Don't let perfection hinder progress.

Start small and build momentum.

Titles

Rethinking Skills Frameworks

The Agility of Learning and Development

Sound bites

"Start where it hurts."

"Tech is to enable insight."

"Don't go into analysis paralysis."

Chapters

00:00 Introduction to Skills Frameworks

02:38 The Right Questions for Skills Frameworks

05:32 Rethinking Frameworks: Beyond Monstrous Spreadsheets

08:37 The Cost of Delay in Skills Development

11:13 Identifying Key Skills: Where to Start

14:13 The Relationship Between Skills and Performance

16:58 Cultural Issues vs. Skills Issues

20:02 The Role of Technology in Skills Development

22:49 Iterative Approaches to Skills Frameworks

25:54 Engaging Stakeholders in Skills Development

28:36 Conclusion: Building a Dynamic Skills Framework

31:16 Rethinking Skill Gaps and Business Outcomes

33:35 The Role of AI in Skills Frameworks

37:11 Essential Skills for Building a Skills Framework

39:48 Navigating Resistance and Building Resilience

43:44 Technology's Role in Learning and Development

49:21 The Impact of AI on Skills Frameworks

54:45 Actionable Advice for Implementing Skills Frameworks