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Innovation Metrics Podcast

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by Elijah Eilert

5.0(1 reviews)
22 episodes
Updated Bi-weekly
Accepts GuestsHas SponsorsLocation 🇬🇧
14

Podcast Authority

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Podcast Overview

Welcome to the Innovation Metrics podcast where we geek about Innovation Management. We bring you insights on how to measure innovation, innovation accounting and managing the uncertain process of developing new, sustainable and profitable business models.

Language

🇺🇲

Publishing Since

2/8/2021

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14

Podcast Authority

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PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality15
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YouTube0
Engagement32
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Recent Episodes

Episode thumbnail for EP 22 - Live at the Intersection of Urgency and Patient

July 21, 2025

EP 22 - Live at the Intersection of Urgency and Patient

<h2>About the Episode</h2><p>Corporate innovation pioneer and former Citi Chief Innovation Officer <a href="https://www.linkedin.com/in/amyradin/" rel="noopener noreferrer" target="_blank"><u>Amy Radin</u></a> joins host <a href="https://www.linkedin.com/in/elijahteilert/" rel="noopener noreferrer" target="_blank">Elijah Eilert</a> to explain how large, regulated organisations can move quickly without losing control. Amy shares how to turn likely vetoes into informed sponsorship. The conversation covers why disciplined, low-cost experiments generate decision-ready evidence, how <strong>strategic advocacy</strong> helps innovators win allies, and why partnering with finance and risk teams can convert uncertainty into competitive advantage. Amy also predicts that modular, interdisciplinary certificates will soon displace traditional MBAs as the preferred path for innovation leaders. From growing up in a small family business to navigating corporate boardrooms, Amy shares both the lessons she has learned and unlearn, insights every innovation leader can put to work today.</p><h2><a href="https://amyradin.com/the-book/" rel="noopener noreferrer" target="_blank">The Change Maker’s Playbook&nbsp;</a></h2><h2>Topics &amp; Insights</h2><p>[00:20] <strong>Introducing Amy Radin:</strong> One of the first corporate Chief Innovation Officers in the world, dedicated to solving real customer problems.</p><p>[01:03] <strong>Defining innovation:</strong> New and viable solutions that meet unmet rational and emotional needs within legal, ethical and commercial limits.</p><p>[02:35] <strong>The innovation spectrum:</strong> “New” is relative to your company or market; incremental changes can be transformative internally.</p><p>[03:53] <strong>Metric pitfalls:</strong> <a href="https://innovationmetrics.co/workshops/innovation-accounting-course/" rel="noopener noreferrer" target="_blank"><u>Mature-business ROI</u></a> hurdles choke exploration, focus first on learning milestones and evidence.</p><p>[05:24] <strong>Listen before you survey:</strong> Qualitative observation often outperforms data sets when desirability is uncertain.</p><p>[06:43] <strong>Empathy for CFOs:</strong> Understand that finance leaders are paid to protect cash flow and manage certainty. Apply the same discovery techniques you use with customers to CFOs: frame proposals as stage-gated micro-bets with clear spending caps, predefined kill criteria and measurable learning goals. Translating risk into the language of liquidity, runway and downside protection builds their confidence to fund experimentation.</p><p>[09:31] <strong>Budgeting experiments:</strong> Treat rapid tests as investments that generate decision-grade data.</p><p>[13:50] <strong>The corporate tax:</strong> In a big organisation, persuading decision-makers and influencers is not a side task, it is a huge part of the job. Innovators must decide whether they are willing to invest that time and energy to win sponsorship and move ideas forward.</p><p>[16:48] <strong>Strategic advocacy:</strong> Treat innovation like a social movement. Systematically map champions, fence-sitters and blockers; tailor value propositions and small “next step” asks for each group and build a visible coalition that tips policy, budget and culture from maybe to yes.</p><p>[22:25] <strong>Risk Review Committee:</strong> While piloting peer-to-peer mobile payments at Citi, Amy assembled a cross-functional forum brand, legal, compliance, cyber-security and enterprise-risk, before any contracts were drafted. By surfacing objectives early, walking through “what-if” scenarios and co-designing safeguards (smallest viable test, rapid-exit plan, advance regulator briefings), the team cut approval time, tightened controls and converted risk leaders from potential blockers into active sponsors.</p><p>[26:14] <strong>Innovation as risk management:</strong> In fast-moving markets, clinging to the status quo can expose the business to greater...

Episode thumbnail for EP 21 - Too much Hype, too little Impact: How to Avoid the AI Failures of Others

February 19, 2025

EP 21 - Too much Hype, too little Impact: How to Avoid the AI Failures of Others

<h1><strong>EP 21 - </strong>Too much Hype, too little Impact: How to Avoid the AI Failures of Others</h1><h2><strong>About the Episode</strong></h2><p>AI adoption is skyrocketing, but most AI projects don’t deliver on their promises. In this episode, Dr. Evan Shellshear, Managing Director and Group CEO of Ubidy, breaks down why 80% of AI projects fail and what organisations can do to improve their chances of success.</p><p>Drawing insights from his book Why Data Science Projects Fail, Evan explores the biggest blockers to AI success, the importance of strategic alignment, and how companies can avoid wasting millions on AI initiatives that don’t deliver business impact.</p><p>Whether you are an AI practitioner, business leader, or innovation manager, this episode will help you separate AI hype from reality and make smarter technology investment decisions.</p><h2><strong>Evan's Books</strong></h2><p>Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype:</p><p><a href="https://www.amazon.com.au/Why-Data-Science-Projects-Fail/dp/103266133X?ref_=ast_author_dp" rel="noopener noreferrer" target="_blank"><u>https://www.amazon.com.au/Why-Data-Science-Projects-Fail/dp/103266133X?ref_=ast_author_dp</u></a>&nbsp;</p><p>Innovation Tools: The most successful techniques to innovate cheaply and effectively:</p><p><a href="https://www.amazon.com.au/Innovation-Tools-Successful-Techniques-Effectively/dp/0646956469?ref_=ast_author_dp" rel="noopener noreferrer" target="_blank"><u>https://www.amazon.com.au/Innovation-Tools-Successful-Techniques-Effectively/dp/0646956469?ref_=ast_author_dp</u></a>&nbsp;</p><h2><strong>Topics and Insights</strong></h2><h4><strong>[02:53] – Defining Innovation</strong></h4><p>Evan shares his perspective on what defines innovation, emphasising that it is not just about new ideas but the <strong>impact</strong> they create. He draws a clear distinction between invention and innovation, explaining why an idea without impact remains an invention rather than a true innovation.</p><h4><strong>[04:27] – Measuring Innovation Effectively</strong></h4><p>Innovation measurement starts with two key questions: <strong>Is it new?</strong> and <strong>What is its impact?</strong> Evan highlights the difficulty of measuring “newness” and discusses why impact should be measured based on <strong>purpose-driven innovation</strong>. He argues that metrics should align with a company’s innovation goals, whether it is patent creation, revenue growth, or industry transformation.</p><h4><strong>[06:11] – The Biggest Blockers to Innovation in Large Organizations</strong></h4><p>Evan contrasts the flexibility of small, nimble companies with the structural challenges of large enterprises. He explains how <strong>legacy systems, bureaucratic processes, and internal competition</strong> create significant barriers to innovation, making it difficult for new ideas to gain traction and survive within large corporations.</p><h4><strong>[07:31] – Why AI Projects Fail: The 80% Failure Rate</strong></h4><p>Evan breaks down the <strong>staggering failure rate</strong> of AI projects, estimating that up to 80% fail, with the number exceeding 90% for analytically immature organizations. He highlights the <strong>three biggest reasons AI initiatives go wrong</strong>:</p><ol><li><strong>Lack of strategic alignment</strong> – Organizations chase AI trends without clear business objectives.</li><li><strong>Poor data quality and availability</strong> – Without the right data, even the best AI models fail.</li><li><strong>Lack of experienced resources</strong> – Many AI teams lack deep expertise, leading to unrealistic expectations and weak execution.</li></ol><br/><h4><strong>[12:50] – The Outback AI Story: When AI Doesn’t Make Business Sense</strong></h4><p>Evan shares a fictitious story from Australia’s Outback, where a farmer was pitched an AI-driven solution for managing crops. While the...

Episode thumbnail for Finding Product/Market Fit After Launch: What to Do When You're Already on the Market?

November 6, 2024

Finding Product/Market Fit After Launch: What to Do When You're Already on the Market?

Elijah Eilert sits down with Étienne Garbugli, CEO of Sliced, to discuss finding product/market fit after launch and how to effectively navigate innovation metrics and strategy alignment.

22 total episodes available

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Frequently asked questions

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What is Innovation Metrics Podcast?

Welcome to the Innovation Metrics podcast where we geek about Innovation Management.

We bring you insights on how to measure innovation, innovation accounting and managing the uncertain process of developing new, sustainable and profitable business models.

How often does this podcast release new episodes?

This podcast updates bi-weekly.

Where can I listen to this podcast?

This podcast is available on 10 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

No, this podcast does not typically feature guests.

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