Food for Agile Thought #103

Food for Agile Thought’s issue #103 covers a sad case of failed product discovery. (Yub, SoundCloud.) We also deal with agile misconceptions and hence expectation management for agile transitions, and how to create your agile workspace.

We revisit Google’s learnings on how to create effective teams, pick up ten mental exercises to up your product game, and learn that 15% of product people run weekly experiments.

Lastly, we dive deep into product analytics: what are the data traps to avoid, what is lean analytics, and when to start with what tools and techniques.

Have a great week!

🏆 Tip of the Week


Ryan Mac (via Buzzfeed): The Inside Story Of SoundCloud’s Collapse

Ryan Mac reports on SoundCloud and how it all came crashing down. A sad tale of failing to get product discovery right.

Source: Buzzfeed: The Inside Story Of SoundCloud’s Collapse

Author: Ryan Mac


Agile Misconceptions & Scrum


(via The Clever PM): Agile Transitions — Managing Expectations

The Clever PM dissects common presumptions and preconceptions related to agile transitions and explains how to counter them.

Source: The Clever PM: Agile Transitions — Managing Expectations


(via Lean Enterprise Inst): Developing Your Obeya, Stage-by-Stage

Working in an agile organization requires a suitable workspace, and John Drogosz explains how to develop yours.

Source: Lean Enterprise Inst: Developing Your Obeya, Stage-by-Stage


Matt Sakaguchi (via InfoQ): What Google Learned about Creating Effective Teams

Matt Sakaguchi talks in this video about some of the practical research Google has done around building effective teams.

Source: InfoQ: What Google Learned about Creating Effective Teams

Author: Matt Sakaguchi


Misha Chellam (via Medium): Flashcards to Learn 168 Cognitive Biases

Flashcards to Learn 168 Cognitive Biases
Image from medium.com

Misha Chellam turned Buster Benson’s epic post on cognitive biases into Quizlet flash cards.

Source: Medium: Flashcards to Learn 168 Cognitive Biases

Author: Misha Chellam


From the Blog: The Retrospective Exercises Repository

How to prevent retrospective boredom? One way to achieve that is never to repeat the same combination of retrospective exercises twice.

Avoiding repetitions might sound like much work for a single team. However, if your product delivery organization comprises of more than one Scrum team, I can highly recommend creating a retrospective exercises repository as it improves the quality of the retrospectives and saves much time if you share the retrospective exercises with your fellow scrum masters.

Read More: The Retrospective Exercises Repository.


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Product & Lean


Alex Kistenev (via Medium): 10 Exercises to Train Product Thinking

10 Exercises to Train Product Thinking
Image from medium.com

Alex Kistenev shares ten quick and easy brain training techniques improving your work routine.

Source: Medium: 10 Exercises to Train Product Thinking

Author: Alex Kistenev


Taylor Wescoatt (via Mind The Product): Being the First Product Manager

Taylor Wescoatt works at Seedcamp and helps startups to understand product thinking — from prioritization to dual track agile.

Source: Mind The Product: Being the First Product Manager

Author: Taylor Wescoatt


(via Alpha): How frequently do product managers run experiments and ship new features?

Sam Henick reports on Alpha’s recent survey that evaluated how frequently product managers develop new features and run experiments.

Source: Alpha: How frequently do product managers run experiments and ship new features?


Andy Carvell: Minimum Viable Analytics

Minimum Viable Analytics
Image from medium.com

Andy Carvell explains common traps of ‘data-driven’ teams and suggests a lean approach to analytics instead.

Source: Minimum Viable Analytics

Author: Andy Carvell


Ruben Ugarte (via ConversionXL): Product Analytics: A Comprehensive Guide to Using Data for Better Product Decisions

Ruben Ugarte details analytics tools and techniques to create a better product.

Source: ConversionXL: Product Analytics: A Comprehensive Guide to Using Data for Better Product Decisions

Author: Ruben Ugarte


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Food for Agile Thought #103 was first published on Age of Product.