
This is the fourth in the series of articles on the product operating model. To recap, it has three dimensions.
- The right problems to solve
- The right solutions to the problems
- Solutions delivered the right way
This article will examine how to decide on the right problems to solve. Before moving on, let’s ensure we’re on the same page.
Product vs solution project
There is a reason it’s called a product operating model: The scope is products, in sharp contrast to one-off (B2B) customer solution projects.
Customer (or internal) solution project
- Serves a specific customer (externally or internally), asking for and sponsoring the project.
- Typically confined within the classic project triangle.
Product
- Serves a multitude of customers and users.
- Follows a product lifecycle from cradle to grave with continuous discovery and delivery.
In all fairness, if you’re a start-up seeking the initial product-market fit, your coming product typically starts with a project.
Not just purely digital products
Also, the product operating model is not restricted to purely digital products. Multidisciplinary products with advanced (physical) production are included. High-quality (physical) production is a big deal!
Think Tesla
Think Apple
Steve Jobs
What I'll cover in this article
This article will focus on the product vision and strategy. Combined, they’ll guide us on what problems to solve and, equally important, what problems not to solve.
Steve Jobs
This quote from Steve Jobs encapsulates why you should not have product management integrated with sales, aka being “sales-led.” Not “only” will you be reacting to the market and thus constantly being in a catch-up game, but you risk degenerating your “product” into a Frankenstein patchwork of customer projects (in a B2B setting).
Also, you should not integrate product management with “engineering,” aka being “engineering-led,” with the high risk of over-engineering and having your product driven by what is technologically interesting.
Product vision and strategy
The CPO’s primary responsibility is to drive the product vision and strategy.
Product vision
Its purpose:
- provides meaning
- keeps us focused on the customer
- acts as a North Star, providing the overarching, common goal / larger purpose across the organization
- helps teams understand how their work contribute to the large whole
- provides enough clarity enabling the product organization to have an architecture in place—but do not build a full architecture in one massive effort (start with a Minimum Viable Architecture)
- acts as a primary driver for deciding the team topology; especially the platform teams are heavily impacted by the vision & architecture
- acts as an evangelism tool
- Elements:
- leverages industry & technology trends
- if done well, it’ll be compelling, inspiring and empowering
- needs not to be too detailed / prescriptive, which can be a challenging balance
- has a 3–10 years scope
- is owned by the [CPO]
- includes a description of the future situation, sometimes including conceptual high-fidelity prototypes (realistically looking but only smoke & mirrors), video, storyboarding, prototypes used in product discovery, etc.
What it explicitly is not:
- a roadmap of features & projects
Product strategy
It’s purpose:
- guiding which problems should be solved, ensuring the right focus
Elements:
- tough choices on what is really important (ref. the quote from Christina Wodtke)
- generation of insights
- quantitative insights: Product data, hypothesis test on data
- qualitative insight: User research
- evaluative insight: Result from tests
- generative insight: Did we uncover new opportunities?
- technology insights: The empowered engineers are often the best to spot new enabling technologies
- industry insights: E.g., follow the best industry analysts
- active management (not to be confused with micromanagement): The product leaders must connect the dots/insights in various ways resulting in action; that is, which team should solve which problem, impediment removal, coaching, and follow-up on progress towards targeted outcome
Problems to solve
Objectives and Key Results [OKR] has (among other frameworks) become a widespread and popular heartbeat-driven agile goal-setting and management framework, creating alignment in organizations, vertically and horizontally.
The Objective, where we want to go, equals the problem to be solved by a cross-functional product team empowered to discover a solution to the problem.
The Key Results, are how we measure the outcome progress toward the Objective.
Successful outcomes over efficient deliveryJeff Patton
Output is important to deliver the outcome, but we do not measure output.
There are no one-size-fits-all rules, but these guidelines should paint the picture:
Objective
- Is qualitative
- Must be easy to understand
- Short and to the point
- Describe what needs to be achieved and, importantly, why, the rationale
- Be inspiring and motivating
- Aspirational & challenging
- 1-4 objectives per team
Key Results
- Is an outcome
- Specific and time-bound
- Measurable and verifiable
- Aggressive yet realistic
- Is quantitative, preferable as “from-to”
- 1-5 KR per Objective
Watch out for the OKR pitfalls
Reading the graphics under assumptions can indicate a “waterfall,” a cascade of problems to be solved from the top to the product teams. That is not the case. This and other potential pitfalls are the topic here.
Pitfall #1, OKRs only cascaded from top to bottom: No, it is a negotiation. The product team must own the OKR and thus be able to challenge it first. Also, the product teams can and will suggest OKRs, knowing the strategic context.
Pitfall #2, teams are only expected to work on OKRs: No, most teams will also have to do some “keeping-the-lights-on” activity, including handling technical debt.
Pitfall #3, OKRs used for performance evaluation: This will quickly lead to teams under-promising, thus rendering the notion of aggressive yet realistic OKRs void
Pitfall #4, OKRs used for “business-as-usual” goals: This would undermine the point of OKRs having a growth-oriented purpose
Pitfall #5, OKRs used as a to-do list: Remember that OKRs are about providing outcomes and not output, as would be the result of to-do lists
Pitfall #6, OKRs at the level of individuals when the primary modus operandi is for people working in teams: Use team OKRs and only
Wrap-up
The first prerequisite for success is to decide what problems you ask your product teams to discover solutions to. For that to happen, you’ll need a strong product vision and insights-driven product strategy.
More Inspiration - moving to the product operating model
Marty Cagan provides a general overview and addresses common transformation pitfalls moving the product operating model.