logo
episode-header-image
Feb 2025
1h 7m

Martin Eriksson - Most PMs Aren't Good A...

One Knight in Product
About this episode

Martin Eriksson is the co-founder of Mind the Product, and co-author of the "Product Leadership" book. Martin has worked with a multitude of companies and has been heavily involved in the VC side of product management. These days, he's advising and coaching companies as well as trying to help us all make good decisions by writing a new book, "The Decision Stack", alongside its supporting website.

Episode highlights: 1. The vast majority of company employees don't know what their company strategy is...

It's important for everyone in the company to be aligned on what's important, where the company's going and how they're going to get there. It's crucial for product and business leaders to do the work; both to create a vision and strategy and to share it with everyone who is needed to execute it.

2. ... but, worse still, the vast majority of companies don't even have a strategy to speak of

Strategy is about making a coherent set of choices about how we're going to achieve our goals or make our company vision real. But, too many companies have fluffy, vague vision statements that could mean anything, and leaders who want to do everything all at once and don't want to make choices. This limits their ability to actually achieve anything.

3. It's hard to create a product strategy if you don't have a company strategy, but you should do it anyway

A product strategy should support the company strategy and vision but, if there's no company strategy or vision, it's hard to create or defend such a strategy. On the other hand, you should still do the work to create one; either you'll get to go and execute the strategy or you'll have a straw man proposal to provoke further discussion around what the strategy should be.

4. A lot of product people are pretty bad at strategy, and we need to get better

Back in the day, a lot of product managers were expected to write specifications and get stuff done. They weren't even expected to be strategic, and many still aren't to this day. These skills are learnable; product people need to do their best to up their game, and company leaders need to get more comfortable both delegating responsibility and coaching their employees to have these skills.

5. The answer is not "Founder mode"

"Founder mode" can be used to justify just about any behaviour, invites "hero syndrome" and can lead to micromanagement and single points of failure. Good leaders absolutely need to be deeply involved in their business, but this should not be at the expense of creating strong, aligned teams that can take many day-to-day decisions without them.

Contact Martin
Up next
Aug 17
CPO Stories: Jamie Mercer - TrustedHousesitters
In this episode, I speak with Jamie Mercer, Chief Product Officer at Trusted Housesitters, the global pet care and travel marketplace disrupting two industries at once. Jamie has previously held senior product roles at VoucherCodes, Skyscanner, Student Beans and IVC Evidensia, an ... Show More
48m 12s
Aug 11
CPO Stories: Shiri Mosenzon Erez - commercetools
In this episode, I speak with Shiri Mosenzon Erez, Chief Product Officer at commercetools, a global leader in enterprise composable commerce that supports thousands of retailers in hundreds of countries, enabling tens of billions of dollars in revenue annually. Shiri's career jou ... Show More
46m 47s
Aug 4
CPO Stories: Hannah Kershaw - Domestic and General
In this episode, I speak with Hannah Kershaw, Chief Product Officer at Domestic and General, a company that you might not have heard of but absolutely need in your corner the next time your dishwasher breaks. Hannah's journey took her from marketing to e-commerce, into product le ... Show More
44m 13s
Recommended Episodes
Aug 2024
ChatGPT has a language problem — but science can fix it
AIs built on Large Language Models have wowed by producing particularly fluent text. However, their ability to do this is limited in many languages. As the data and resources used to train a model in a specific language drops, so does the performance of the model, meaning that fo ... Show More
36m 50s
Jul 22
Are World Models the Key to AGI?
A groundbreaking Harvard study trained AI on 10 million solar systems and found it perfectly predicted orbits but completely failed to understand gravity, raising questions about whether LLMs can develop true world models. While companies pour billions into scaling, Meta's Yann L ... Show More
21m 28s
May 2023
TinyML: Bringing machine learning to the edge
When we think about machine learning today we often think in terms of immense scale — large language models that require huge amounts of computational power, for example. But one of the most interesting innovations in machine learning right now is actually happening on a really s ... Show More
45m 45s
Aug 2023
Cuttlefish Model Tuning
Hongyi Wang, a Senior Researcher at the Machine Learning Department at Carnegie Mellon University, joins us. His research is in the intersection of systems and machine learning. He discussed his research paper, Cuttlefish: Low-Rank Model Training without All the Tuning, on today’ ... Show More
27m 8s
Feb 2017
MLG 002 What is AI, ML, DS
Links: Notes and resources at ocdevel.com/mlg/2 Try a walking desk stay healthy & sharp while you learn & code Try Descript audio/video editing with AI power-tools What is artificial intelligence, machine learning, and data science? What are their differences? AI history. Hierarc ... Show More
1h 5m
May 8
MLG 035 Large Language Models 2
At inference, large language models use in-context learning with zero-, one-, or few-shot examples to perform new tasks without weight updates, and can be grounded with Retrieval Augmented Generation (RAG) by embedding documents into vector databases for real-time factual lookup ... Show More
45m 25s
Sep 2024
Large Language Model (LLM) Risks and Mitigation Strategies
As machine learning algorithms continue to evolve, Large Language Models (LLMs) like GPT-4 are gaining popularity. While these models hold great promise in revolutionizing various functions and industries—ranging from content generation and customer service to research and develo ... Show More
28m 58s
Feb 2017
MLG 001 Introduction
Show notes: ocdevel.com/mlg/1. MLG teaches the fundamentals of machine learning and artificial intelligence. It covers intuition, models, math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with high ... Show More
8m 11s
Mar 2024
Figure 01 humanoid robot
Genuine-friend.com. The super capabilities of Figure 01, the humanoid robot developed by the startup Figure, are attributed to its integration with OpenAI's advanced AI technologies. Here's how OpenAI contributes to Figure 01's exceptional capabilities based on the provided searc ... Show More
16m 38s