post

Footer About

Footer Contribute

Footer Get Involved

Footer Links

Mind the Product

Customer

How behavioral economics can improve product strategy

Product Roadmap

Why most product roadmaps fail: Phil Hornby (Product Leadership Coach) – ProductTank Porto

B2B product management

Artificial Intelligence (AI) & Machine Learning (ML)

Building Product Teams

Business Strategy

Data Driven Product Management

Digital Transformation

Diversity and Inclusion

Minimum Viable Product

OKRs

Prioritisation

Product Design

Product Research

Product Development Process

Product Ethics

Product Discovery

Product Leadership

Product Management Career

Product Strategy

Stakeholder Management

🌎 <a href="https://www.mindtheproduct.com/world-product-day/" style="color:#FFFFFF;text-decoration:underline;">Happy World Product Day!</a> Be sure to celebrate product, yourself, and your peers today! 🎉

Join us at #mtpcon London in 2025 – mark your calendars

Connecting fans to creators at Spotify (Dariusz Dziuk, Product Lead, Spotify)

Why teams often struggle with OKRs: A conversation with Jeff Gothelf

Deep dive: Crafting your product vision and mission

5 ways to invent and simplify as an AI/ML product manager

With his background in technical editing, community building and product marketing, Chris' approach to product management is inherently centered around user narratives. He spent the first few years of his career working with the B2B developer products, prototyped an experimental technical publishing platform along the way, and then kick-started the Mind the Product platform. You can find him at ProductTank, or on twitter as @camassey.

Product Manager

Chris Massey

<a href="https://twitter.com/craigstrong">Craig Strong</a>, VP of Product Lifecycle Management at Pearson, talks about the work they have done to evolve their product lifecycle management and the key learnings that have taken place along the way. Pearson are a long established global company with multiple brands and acquisitions., and product lifecycle management has been a catalyst for changing the culture across the business as they undergo a digital transformation away from a long established culture of print. Specifically, their carefully structured but non-linear product lifecycle management process has influenced business culture to think more like a lean start-up in an enterprise environment.
<h2>Better ideas are found through exploration</h2>
Craig shares Pearson’s 6 phase framework for Product Lifecycle Management and shows how rather than confining practice, it’s a business-model agnostic structure which allows them to focus on the right behaviours at the right times. The early phases leading up to MVP are characterised by short time scales, lean metrics and disposability over scalability. Lightweight ideas generation moves quickly with minimal finance into an “Explore” phase, focusing on the discovery of real customer needs. Craig advocates for spending plenty of valuable time in Explore before introducing any development capability – getting into the environment, focusing on the need and actively discouraging premature convergence.
<h2>Crossing the Chasm &#8230; and taking the customers with you</h2>
Behaviour and metrics all change as we cross the chasm into growth and switch markets from early adopters to early majority, with scaleability and speed of response to market opportunity becoming key. But Pearson moderate their growth ambitions with a strong sense of strategy that guides which ideas they decide to develop towards execution. To that end, they keep a sharp eye on “micro conversations”, even when growing at scale, to help them determine whether they need to develop a product further for a maturing market, or split it into multiple products addressing several markets that differ in kind, rather than their adoption phase.  “Sensory networks” are keeping Pearson connected to the customer as they follow new leads and opportunities, allowing them to constantly reflect on the impact of growth on the customer.
<h2>Growth is an assumption but …</h2>
Strategy is key and metrics are all relative (to market changes, product maturity…)., so Aas you increment beyond the MVP, stay clear on your strategy. Pearson’s model reminds you to revisit and retesting strategy as you move beyond the chasm and to take a culture of search and discovery behaviours forward into scaling execution.
<h3>A word on Metrics</h3>
Finally, Craig warns against setting narrow metrics which hide other possible indicators and opportunities. Remember to take a step back from your KPIs to look at the wider ecosystem around your products, in order to spot adjacent opportunities at every stage of your product lifecycle. Similarly, don’t forget that your hypotheses &#8211; and therefore your metrics and targets &#8211; should be different depending on what level you’re assessing your product. Strategic growth should be assessed longitudinally, whereas the very different tactical and technical product metrics need to be measured on much shorter timescales.
To wrap up, Llook beyond your own absolute performance, and consider your product to relativeity into any competitor analysis (for a more accurate measure of market performance), stay close to your strategy (and be ready to keep a cautious distance from your metrics) as you develop new ideas, and always stay connected to your customers.

core/freeform

Product Lifecycle

Reduce risk, fail faster: Experimenting across the product development lifecycle

Product Lifecycle Management – Beyond the Early Adopter

Chris Massey