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July 26, 2021

Product Pioneers: Unbarcamp with John Cutler

What is the article about?

This time we were once again fortunate to land a top-class speaker – John Cutler, known to many as the author of the post: "12 Signs You’re Working in a Feature Factory". As Head of Product Education at Amplitude, a leading provider of product analytics solutions, he deals intensively with the topic of data-driven product development.

John speaks at conferences such as Mind the Product, blogs passionately about product management, and reaches nearly 50,000 people via Twitter. Around 70 participants across the entire OTTO Group listened intently to his presentation on "Exploding myths about Feature Factories" and were keen to gain more exciting insights from John first-hand in the Q&A session that followed.

Our UnBarcamp with John Cutler – joining us live from San Francisco
Our UnBarcamp with John Cutler – joining us live from San Francisco

In his original posting back in 2015, John coined the term ‘Feature Factory’. After realising that more and more Development teams were often only focused on delivering requirements as rapidly as possible, he shared his thoughts on Feature Factories – not knowing what reactions this would trigger. People’s desire to understand the impact of their work unfortunately collides with the ‘factory’ work paradigm he outlined and in which many Development teams and Product Managers are stuck.

John himself admitted he had been a little naïve with his original posting, but had obviously struck a nerve. And he regretted he had only described the existing problem; since then he has been trying to provide possible solutions. From his point of view, there are three realities in this context that we need to be aware of.

  1. Many companies adopt a Feature Factory approach and are very successful with it – one example is Microsoft (or parts of it). This is often related to the working domain and/or corporate culture.
  2. Many Development teams are unsuccessful in trying to balance the pressure to deliver with the effort to make the actual impact of product development transparent. They often lack simple ways to generate insights into how their work benefits users, customers and stakeholders.
  3. For every company without exception, it is a real challenge to escape from being a Feature Factory. Even with a solid database, the right mindset as well as the right processes and tools, it takes time to learn how to learn correctly.


John during his presentation on Feature Factories – at  06:00 San Francisco local time
John during his presentation on Feature Factories – at  06:00 San Francisco local time

John now differentiates his view of the Feature Factory by means of 12 dimensions, as he has rarely seen a pure black vs. white perspective. Based on these dimensions, the different nuances of a Feature Factory can be considered and possible ways out can be identified.

Importance of strategy


Without a strategy and a matching narrative, it’s very difficult to escape from being a Feature Factory. The strategy is the link between the product to be developed and its customers. If your strategy is ‘earn money’, your organisation will almost certainly be a Feature Factory. John pointed out that even the ‘panacea’ OKR does not create a sustainable solution without a strategy in which it is embedded.

Importance of framing model


In many organizations, the very reasonable question from management, "So what are we getting for our money?" can only be answered with concrete feature promises, because other tools and the necessary trust are missing. Where budget planning takes place at the features or roadmaps/milestones level, an organisation will tend towards being a Feature Factory – and because planning is time-consuming and entails a high need for security, this leads to the dreaded multi-year plans. On the other hand, planning budget for skills, products, value streams or Development teams helps to escape being a Feature Factory.

Influence of the organisational structure & alignment


Small decisions within the organisational structure can have a very large impact, as alignment between strategy and organisation is essential. John’s example was a central team of UX designers who form a bottleneck for all Product Development teams - instead of being directly integrated into cross-functional teams.

Investment of limited time


The Product Managers’ own schedules reflect the company’s priorities. Often there is no time for reflection, for joint retrospectives or joint learning. Making time precisely for this should be actively required and incentivised. If the company does not promote this, it means a further nudge in the direction of a Feature Factory.

Importance of faith & past experiences


In successful companies, senior management has confidence that things will actually work. We often expect the management in a Feature Factory to also have this trust – without them ever having experienced a well-functioning, highly competent Product Development team. To the question, "Have you ever experienced an effective Development team? What distinguished that team?" you often hear answers such as: "Yes, the team meets every deadline! Yes, the team reacts extremely quickly to bugs!" Answers like these reflect that the vision of an ‘effective Development team’ often unfortunately places a completely wrong focus on output. Feature Factories are thus almost self-reinforcing.

Portfolio of bets


Companies usually have very different propositions they want to tackle. To escape from being a Feature Factory we should look at these in a highly differentiated way and establish suitable processes that depend on the nature of the bet – there is no ‘one-size-fits-all process’. If you want to improve something, consciously concentrate on just a few plans or bets.

Measuring to learn vs. measuring to prove


Even in a Feature Factory a lot can be measured, but most of the time it's only about proving performance. We need to be aware of when we want to measure performance and when we measure something to enable learning. If we clearly differentiate this and make it transparent for management, then this helps to build trust.

Data literacy


In order to build a level of data literacy that helps us escape being a Feature Factory, we not only have to collect and evaluate data but above all be clear about the ultimate intention behind this. That’s the only way we can recognise when we are measuring the wrong thing. It is important not to anchor data literacy only in one role, but to scale it across the entire organisation. To do this, we also need the right tools even to help us become curious about what we don't yet know.
The visual sketchnote of John’s talk – drawn by Andrew Yu
The visual sketchnote of John’s talk – drawn by Andrew Yu

Winding up his talk, John also gave us the important message: "Product Management is hard – always! It takes continuous ‘relearning’."

Are you also interested in deepening your understanding of Product Management and Product Development, and getting to know other committed product people? Then take a look at the upcoming Product Pioneer events – we look forward to seeing you there!

Want to join our teams? Take a look on our jobs at OTTO:
- Product Specialist 
- Product Owner Text Mining /NLP 

Yours,

the Product Pioneers team

#productpioneers

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Written by

Michael Gravert
Michael Gravert
Senior Product Manager
Sina Holzberger
Sina Holzberger
(former) Domain Lead (Business Intelligence)

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