A couple of weeks ago I gave a private presentation to an organization entitled: “The Business Case for Agile in 2020.” Actually, it surprised me a bit that in 2020 people still wondered what the business case for agile was but that probably says more about my arrogance and the agile bubble I live in.
It was hoping to keep this blog virus free. Indeed my “Conflicts in coaching” was going to be the first of several on agile coaching (what else could I do in the air going to and from Agile on the Beach New Zealand?) But…. the world has changed, I’ve changed…
It is a very scary time. Both health wise and economically: I know at least one software engineer who has lost his job as a result of the slow down. But I also know random (inappropriate) coding jobs still appear in my mailbox, I continue to see job adverts on Twitter and LinkedIn and I know one company that has landed work and had to hired contractors to work on a corvid-19 project. So some observations…
Observation 1: Covid-19 will go down in history as the first digital health crisis.
Digital technology has a big role in fighting the virus. Decisions and actions are being driven by software models of what could happen. The famous Imperial model is now OpenSource and Microsoft engineers are reported working to improve the model. (At a few hundred lines of R code there isn’t that much to refactor – although there are some very long functions and I can’t see any unit tests.)
Apps are being created to track contacts and you can bet that the search for antidotes and vaccines is utterly dependent on software. Digital powered home delivery networks and internet shopping have made closing the economy just about possible.
Those who are not directly fighting the virus are continuing to work because of digital technology. Zoom, Skype, and the like might be the most obvious beneficiaries of the virus but many others will benefit too. Although the virus is simultaneously putting a strain on our digital infrastructure and necessitating human action – witness the search for Cobol programmers in the US.
Not only have most IT, sorry digital, workers decamped to home but so too have many others – in fact almost any occupation that can. Schools are delivering lessons and distributing home learning kits online. Industries which can’t move to online working will suffer the most. (Except those which put themselves in harms way like medical staff and, to a lesser degree, delivery staff.)
And when not working online media like Netflix, YouTube and BBC iPlayer keep us sane.
For us digital folk this is no big deal. It is an extension of normal life: we are at home 5 days a week not one. But for other folk, this is big. Even the most digitally inept lawyer is having to get with the technology. As people are forced to become familiar with digital technology …
Observation 2: Digital technology adoption will be accelerated by the virus
Which means, while some technology companies (like my friend’s) will not survive, those that do are set for a boom. Post virus swaths of the economy will be destroyed but technology is in for a boom.
That boom is driven by the three forces above: 1) unlike others, our industry is not destroyed, 2) technologist continue to work remotely, and 3) non-technologist will learn to use more technology.
In particular digital healthcare – both back-office big data background analysis and customer centred applications – will play an oversized part. This field was already growing rapidly but the experience gained during this crisis can only help the sector.
Observation 3: The economic devastation caused by the virus will open up many new opportunities for digital companies to enter markets and thrive
Companies which fail create opportunities for new companies – either a like-for-like replacement or a new type of company. Previously, while those companies were active, digital technology had to compete with the existing providers, the incumbents. With those companies gone the way is clear for new digital technology companies to enter the market.
I’m not saying this isn’t going to be horrible; company failures will be painful and it new entrants will take time to get established.
And what of Agile?
Observation 4: Covid-19 is the ultimate test of agility
Forget arguments about what is agile and what is not agile. Forget ScrumBut, Wagile and the other insults hurled at those judged to be less agile than thou.
Forget agile assessments and agile maturity frameworks; forget ticking off ceremonies and declaring yourself agile. In the new world the more agile you are the greater your chances of survival.
On paper you may have the most agile team in the world but, if that team, and your organization, cannot now demonstrate how it changes rapidly it just isn’t agile.
Every single plan that existed before March 1st is now invalid. Right now companies need to pivot like never before. Agility helps companies pivot. Those who can’t pivot, or can’t pivot fast enough stand to loose the most. If you can’t pivot you aren’t agile, QED.
Companies which still operate in hierarchal command-and-control mode will find it more difficult to switch to distributed teams and remote working. When everyone is remote you need to delegate decision making. Companies which don’t trust employees, companies which constantly check what employees are doing will find home working incredibly difficult and expensive.
Individuals and interactions are more important than ever before. Processes and tools are essential but few heavy weight processes will survive the instant shift to completely distributed working. Any tool which doesn’t help now is an impediment.
Those companies which are still struggling with technical liabilities (aka technical debt) will find the cost of living with those liabilities just increased.
Observation 5: Test driven medicine
Day after day I read in the papers that the UK is not doing enough testing. It seems that countries like South Korea which do a lot of tests and base their strategy on knowing who is infected (and therefore who is safe) and then tracing the virus are doing best.
That means testing needs to be rapid – a short feedback loop.
And testing needs to be cheap so it can be done at scale.
Doesn’t that sound familiar?
The cost of not testing is precautionary isolation. That cost is not sustainable.
If you could test anyone, and everyone, instantly the offices, shops and schools could reopen: you would just test everyone who arrives.
The testing strategy agile has been advocating is now needed to fix the world. And in the UK the Government seems to be as resistant to a test first approach as the most obstinate software manager or engineer.
As much as I hope the world will shortly return to how it was it will not. It will never be the same, we don’t quite know how it will be but it is already clear that digital technology and agility will be part of it.
In retrospect I think the presentation should have had a big question mark (“?”) in the title. In many ways I’m asking “Is the Product Owner role impossible to fill well?”. I had some really good discussions on this topic after I gave the presentation and I will blog more about the role soon. In the meantime check out my new book if you want more of my thinking, The Art of Agile Product Ownership.
Finally, while I was at Oredev I gave another presentation: Evolution: from #NoProjects to Continuous Digital (also available for download). This presentation itself was an evolution. So I’ve christened this version the “2020 edition” to distinguish it from the earlier version. I am attempting to do two things here:
One, be clear that the #NoProjects argument has itself moved forward. When #NoProjects began in 2013 the argument was very much “The project model is not a good fit for software development.” Now, as we approach 2020, the argument has moved on: business (and just about everything else) is digital, in a digital world advancement means technology (software) change. Therefore rather than following a start-stop-start-stop project model are organizations need to structure themselves for continuous digital technology enhancement.
Two, building on that argument I try to talk more about how our companies need to update their thinking. Specifically what does the new management model needs to look like?
More on all these subjects in my usual depth soon.
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Long answer: as the #NoProjects hypothesis grew, as I thought about it more, as I talked to others about the ideas – specifically Steve Smith, Joshua Arnold and Evan Leybourn – the ideas grew. My thinking both on “what to do instead of project management” and “why do something different” grew.
Specifically I saw that the combination of Continual Delivery and Digital Business meant there was a stand alone case for moving beyond the project model. Whether you agree with the problems I discuss in Project Myopia or not there is a case for changing the way businesses are managed.
That is why I split the too books. Project Myopia is a companion book, it is not a prequel, a sequel, a book one or a book two. It is a book some people will read in its own right.
Continuous Digital argues that since business are increasingly digital, and as businesses strive to survive and grow then technology development is not a separate “project” it is inherent to the business. Technology and innovation are business as usual.
Stopping, even pausing, work – as in the project model – surrenders competitive advantage and introduces extra costs (time, money, risk). What is needed is a new model. A continuous model.
Continuous Digital is now published on Amazon in digital form and will soon be there – and in other booksellers – in physical form. (If you can’t wait for a print copy you can buy one from Lulu where they are slightly cheaper too.)
So I’d like to say Continuous Digital is done. But…
Even before I saw the final print version I had requests for an audio version of both Project Myopia and Continuous Digital. I’m debating whether to do these, if you would buy an audio version please let me know, if enough people want it I’ll do it.
Second, once I saw and held the final, done, version in print new ideas came to me. I don’t want to revisit the text – although I might fix a couple of typos – but Continuous Digital is a big book, 350 pages. And I know many people will be put off by the size.
So I’m thinking of turning it into four smaller books, each around 100 pages in length and each corresponding to one part of Continuous Digital. Maybe.
Q1: How should we organize our teams? My team is owner of different trading platforms and the core services around it. But we depend heavily on other products (e.g. financial feeds, client identification, services to send orders to stock markets, etc.). And of course each of the team managing these services have other platforms that are their clients.
When Vasco Duarte and I ran the #NoEstimates/#NoProjects workshop (or #NoNoWorkshop as I think of it) in Switzerland last month the attendees asked some good questions. With Project Myopia done and published, and Continuous Digital almost done it seems like a good time to repeat, and elaborate, the answers publicly. This will take a few blog posts to work through.
The picture above is the way I see the question, if you have another interpretation, or another scenario please let me know.
The Continuous Digital model is for stable, long standing, autonomous, value seeking teams staffed with all the skills they need. Much of my thinking derives from Amoeba Management. Importantly each team needs to see how it adds value. In this case the business facing teams can see this – they enable the business do make money. But the back office teams find it hard see how they add value.
Now there are several possible answers to this question most of which involve some sort of re-organizations.
Option 1:Share the value
This solution does not involve reorganisation and comes straight from the pages of Amoeba management: allocate some portion of the value earned by the business facing teams to the teams they depend on. For example, the Trading platforms team might generate $10m each year. It could not do this without the services of the other three teams. Therefore some portion of Trading team’s earned value is passed to those teams.
Think about it, Trading Platforms affectively buys the services of three other teams. If those teams did not exist Trading Platforms would need to do that work themselves. Therefore those teams are contributing and deserve some credit.
This requires a serious conversation and probably needs more senior managers to intervene. Indeed, in Amoeba Management, Kazuo Inamori says that such decisions were among the most difficult ones facing Kyocera and often required more senior managers to make the final decision.
Nor is it always clear who buys from who, does a Sales Amoeba earn the value and pass part of it to the manufacturing team who build the product. Or does the Manufacturing Amoeba hire the Sales Amoeba to get their product to customers and therefore book the revenue and pass some to sales?
In the case above one might find it better to consider the value of the whole trading team including both the traders and the programmers who make the platform. Or perhaps the traders rent the platform from the technologists.
According to Inamori Kyocera standing allocations are set between teams. Alternatively one might create an internal market in which teams bought services from others on a piecemeal basis. On the one hand I like that idea model because it would allow for negotiation and trade-offs. On the other hand I imagine it creating a whole new set of bureaucracy, politics and internal sales. On balance, I’d fix the allocations and review periodically.
Option 2: Vertical slice
If you look at the picture above you might replace the word “team” with “library” or “services” and you would have a module dependency chart. Conway’s Law is at work – the organization and system reflect each other. (Although without knowing the history here it is difficult to say whether this was Conway’s Law or Reverse Conway’s Law at work.)
The services can stay as they are but we just disband the back-office teams and pass their responsibilities to the (enlarged) business teams.
The three teams will need to co-operate and co-ordinate with each other as they now have shared responsibilities. This itself can be a problem – two developers changing the same code anyone? But the world has moved on. Technology has improved.
In the days of SCCS, Visual Source-Unsafe, manual testing and monthly deployments it was a pain to have two teams working on the same code. But distributed source code control, automated testing and continuous delivery make this option far more viable than it once was.
On the plus side each team can work at their own pace on their own priorities and knowledge is spread around. On the downside teams can still trip up each other, they may duplicate work and specialist knowledge can get lost. (Note I am not saying “nobody has overall design authority” is a downside because while a single Linus can be an advantage it can also be a liability.)
One more problem here: this solution directly breaks Conway’s Law. In theory it could work but quite possibly the homomorphic force behind Conway’s Law might reassert itself. This might create some problems further down the line so needs monitoring.
Option 3: Independence
Taking option 2 to the extreme you might even separate the teams completely. Again there are plus and minuses.
On the one hand the teams are completely independent, they can move at their own pace, with their own priorities, value is clearly attributed and there is now resilience in the system and risk is reduced.
However, there is duplication. Not only does this mean more work it means that there may be inconsistencies, a client recognised by Trading might not be recognised by Yet Another.
Both options 2 and 3 demand larger teams and this option might requires more people overall. One can’t be sure because teams might come up with innovative solutions or come up with some new mechanism for sharing.
I’m sure some readers will discount this option very quickly but there are big benefits to complete independence – particularly when teams are separated geographically (e.g. Trading in London, Some Other in Frankfurt and Yet Another in Singapore) or when they are addressing different markets. One of the dangers of shared modules is that they become bloated by generic features nobody really wants but someone has to pay for.
This approach might also be advantageous when the company is in a growth and innovation mode. Let each team grow as fast as they can and innovate. In time a “winner” might emerge or common elements appear naturally.
Another variation on option 3 would be to have one team take the lead. Say Trading, this would be a larger team who developed the share services as part of their business facing work. But they would not “genericise” those services. The other, smaller teams, would do what they needed, when they needed, to service their own value streams.
That is three options. I could come up with some more, none is perfect. The important things are:
Create a clear way for teams to see the effects of their work and share in the value.
Allow teams autonomy in decision making and reduce dependencies.
Keep it simple so everyone can see cause and effect.
And of course, keep the teams stable – don’t break them up.
If you have any questions about Continuous Digital and #NoProjects please mail them over and I’ll do my best to answer them in this blog.
Project Myopia – the original case for #NoProjects – has been a long time in the works but it is now done. Published. For sale on Amazon.
Projects fail. Some say 40% of all IT projects fail, some say 70%. And it has been that way for years. Each project fails for its own reasons but they all share one thing in common: the Project Model. Could it be the project model itself which creates failure?
Projects end. Successful software continues. Twenty-first century digital businesses want to continue and grow.
Project Myopia is available to buy on Amazon today – the physical version should joined the eBook in a few days.
Project Myopia gives the case against projects – the hard core #NoProjects arguments. A second book, Continuous Digital will join Project Myopia in a few weeks on Amazon. Right now copyediting isn’t finished on Continuous Digital, plus the physical copy needs to be worked out. In the meantime late drafts of Continuous Digital are available on LeanPub.
In my presentation at Agile on the Beach last week I continued my discussion of Agile and Digital. It is increasingly clear that digital and agile are intrinsically linked. Specifically, business need agile processes to get the most out of digital technology. My “Agile, Digital & the new management paradigms” presentation is online but let me give you the argument here.
There is a long standing model of technology change – so widespread I can’t find the original source – which says change comes in three steps:
First new technology allows the same processes and activities to be done better, faster, cheaper, more efficiently. In this stage new technology is used to do the same things, the processes and practices change little.
Next new technology allows process and practices to be reconsidered and changed to make the most of new technology. Work becomes even better – whether that be faster, cheaper, higher efficiency, superior products, whatever.
Finally new innovations appear because of the technology and new processes. One can see opportunities for new businesses, new business models, the next round of technology innovation and more.
So the whole thing repeats.
Look at the photo above. According to WikiCommons this is a picture of a factory at Woolwich Arsenal sometime in the 1800s. Notice the belts stretching from the ceiling to the workstations. These carried power, or to be more precise motion. Above the workers is the line shaft which turns. The shaft is driven by a central power (motion) source somewhere, probably a water wheel or a steam engine.
This is before electricity. The line shaft and the belts carry the power the factory needs to work. And they break, the longer they are the more prone to breaking they are. Factory design is constrained by the need to have straight lines for the line shaft and short distances between the shaft and the workstation. And factory design dictates layout and processes.
Then came electricity.
Electricity allowed each workstation to have its own motion generator. At first factory owners used electricity to do the same things faster and more reliably. They could dispense with the steam engine and thus the stokers and coal it needed. But at first they didn’t seize all the advantages electricity brought.
It took time to understand how a factory could be laid out more efficiently and how processes could be changed. When they did factories got even more efficient and faster. Some might argue that it took the coming of Lean manufacturing to complete these process changes.
The same story has played out in industry after industry with technology after technology. Think of Word processors: first they helped secretaries do their job faster, then processes changed and everyone wrote themselves, goodbye secretaries. Containerisation in the shipping industry is another. First ships loaded and unloaded faster. Then the shipping companies innovated but more importantly world trade innovated. Some observers claim containerisation was a more significant factor in trade globalisation than free-trade agreements.
Digital technology is like electricity. It changes business, it creates new opportunities for doing things differently. To get the most from digital technology you need new processes. Right now most companies are stuck – even happy – doing things faster. Only when they change processes will they get the full benefits.
Agile processes are that change.
Agile ways of working help companies get more from digital technologies. Without Agile companies using digital technologies are just doing the same old thing faster.
Agile started in software development for two reasons. First software developers had a lot of problems, they had the need to change. Second, programmers had the first access to digital technologies.
Software developers created Agile because they needed to and they could.
This is why Agile is taking off in marketing.
Outside of technology itself marketing has probably been more exposed to digital technology than any other part of business. First with digital publishing then with social media. At first digital helped marketing departments do the same work faster. Next it changed what you could do entirely. Marketing is adopting agile because those processes allow marketeers to do a better job when working with new digital technology.
So forget all those arguments about agile being a better way of working (it is but never mind).
Forget all those stories of agile like processes and practices before 1998 (yes they existed but that doesn’t change things).
Forget the debate about waterfall and upfront planning versus agile and just-in-time (that is history).
All you need to know is:
Digital technology is helping you do things faster/better/cheaper.
Agile ways of working allow you to get more from digital tools.
Someone asked the other day: how should an organisation be designed?
There are two potential answers, which actually aren’t as contradictory as they look at first sight.
The first is very simple: Don’t.
That is, don’t design your organization, don’t set out an organizational chart, don’t set out a plan and aim to restructure your organization to that plan. Rather create the conditions to let a structure emerge.
I suppose its the difference between “design” meaning “create a plan for the way you want things to be” and “design” meaning “the way things are arranged.” To differentiate them the first might be called “intentional design” and the latter “emergent design.”
That does not necessarily imply all emergent structures are good. As we see in code sometimes emergent designs are not always the best and over time they need refactoring. Which implies at some point there needs to be intentional design.
Put it like this: I’d rather your organization pulls the design rather than you push a design on the organization.
Organizational structure is itself a function of business strategy. And both need to be part emergent and part intentional. Although you might have noticed I tend towards emergent while most of the world tends towards intentional!
Thus it helps to have a reference model of how you think the organization should be, maybe something to steer the organization towards.
So the second answer to the question would be longer:
Create standing delivery teams which are embedded in the business line itself. This is sometimes call stream teams, or stream based development, or “teams aligned to the value stream”, or several other names I can’t think of just now.
Each business line is itself a stream of work and digital delivery teams support that work.
Teams contain all the skills and authority to do the work that is required for that business stream.
The team is part of the stream so the business/technical divide should dissolve. Something I call BusTech.
Teams are value seeking and value creating: the team seeks opportunities to create value for the business and delivers on the most valuable ones.
Devolve authority to the teams whenever you can. Teams are mini-businesses. (Notice I deliberately don’t use the word empowerment.)
Teams grow when the business is successful and more digital capability is needed. And teams shrink when money is tight or less capability is needed.
Teams may split (Amoeba style) from time to time. New teams may be in the same business line (addressing another question) or part of another, possibly new, business line.
Active – or Agile – Portfolio Management sits on top to monitor progress, provide extra resources, remove resources, etc. There may even be multiple portfolio processes, one at the business line level and perhaps one above multiple business lines.
Minimally Viable Teams are started to explore new initiatives, sometimes these go on to be full standing teams but they may also be dissolved if the idea doesn’t validate.
Seek to minimise common services between teams because these create bottlenecks, conflicts and delays. Each team should stand alone. This may mean some duplication, and therefore some extra costs, but accept that. Once you have your model working you can fine tune such things later.
Don’t worry about planning and synchronisation between teams to much, worry more about getting the teams to release more often and deal with synchronisation issues when they become a problem.
They are the main points at any rate. If you’d like to know more Continuous Digital contains a longer discussion of the topic. (Continuous Digital actually builds on Xanpan in this regard, and the (never finished) Xanpan Appendix discusses the same idea.)
With some final words I’d like to draw this mini-series on the Product Owner to a close and open a new chapter with a new book. I’ve written six blog posts in the last two months and I have drafts for more but there are other things I want to blog about.
I have drafts for more posts and ideas for even more. So its time to make this into another book: Product Ownership. This is on the LeanPub site now and you can buy it. So far it just contains a new prologue story but I’ll add these posts soon as the first chapters.
Ever since I wrote Little Book of User Stories I’ve thought there should be a companion volume: “Little Book of Product Ownership”. The intention is for the first part of the new book to discuss the product owner role – and whether it should even exist – and then quickly get into the tools of Product Ownership.
Now some closing words…
While I’ve suggest a lot of things that a Product Owner should do, and a few that they should not do, there are really no hard and fast rules about what a Product Owner should or should not do.
In the language of business schools: there is no contingent way of being a product owner, every product owner and organization is different and they need to find their own path. I cannot give you a flow chart for what a product owner does or should do, nor can I give you a set of rules to say “When the customer says Foo the Product Owner should do Bar.”
Every Product Owner has to work out what is right for them because every organization is different. And every organization will – rightly or wrongly – expect different things from the people it christens Product Owner.
Additionally every team is different and contains different skills and experience. As a result every team will differ in what it needs from the Product Owner(s) and how the team members can support the Product Owner and share the work.
And every Product Owner is themselves different and brings different skills, experience and insights to the role.
Job #1 for a newly appointed Product Owner is to sit down and decide what type of Product Owner they are expected to be and what type of Product Owner they want to be:
They may be a Backlog Administrator taking instructions from others.
They may be a Subject Matter Expert using their expert knowledge of the domain to decide what the right product to build is and help other team members understand the details of what is being built.
They may need to analyse internal process and business lines using the skills of Business Analysis.
They may need to get out on the road to meet customers – and potential customers – to understand the market and where the opportunities are using the skills of Product Management.
They may need to call on skills from other fields to: Project Management, Consulting and Entrepreneurship to name a few.
But a Product Owner is not some other things:
If they were a developer they need to accept they will not be coding any more. There simply isn’t time and anyway, they need to trust the team.
If they were a Project Manager, Development or Line Manager they need to resist any urge to tell people what to do or look too far into the future. They need to re-focus on value not time, and recognise that their authority comes from their competence not from a position on a chart.
Product Owners from a Business Analysis background need to look beyond Business Analysis, specifically they need to immerse themselves in the world of Product Management.
While Product Owners who were Product Managers probably have the easiest ride they too need to change, they need to think more about internal stakeholders, processes and delivery.
Every Product Owner and everyone working with Product Owners needs to read and reflect on the role. Hopefully some of the words in my recent posts – and the new book – will help with that – and hopefully some of you might like to hire me for advice or a training course – just call 🙂
Finally, I sincerely believe there are better Product Owners and not-so-good Product Owners, and that some organizations (teams, companies, enterprises) which offer a better environment for Product Ownership and equally there are those which are downright hostile to product ownership.
To be an effective Product Owner – and that includes product managers and business analysts who are nominating work for teams to do – you need at least four things. You may well need more than these four but these are common across all teams and domains.
1. Skills and experience
There is more to being a Product Owner than simply writing user stories and prioritising a backlog. Yes, you need to know how to work with a development team and how to work in an Agile-style process. Yes you need to be able to write user stories and acceptance criteria, perhaps BDD style cucumbers too; yes you need to be able to manage a backlog and prioritises and partake in planning meetings.
But how do you know what should be a priority? How do you know what will deliver value? And please customers? Satisfy stakeholders?
Importantly Product Owners need to be able to do the work behind the backlog.
Product Owners need to meet people, have the conversations, do the analysis and thinking behind those things. Any idiot can pick random items form a backlog but it takes skills and experience to maximise value.
Product Owners need to be able to identify users, segment customers, interview people, understand their needs and jobs to be done. They need to know when to run experiments and when to turn to research journals and market studies. And that might mean they need data analysis skills too.
If the product is going to sell as a commercial product you will need wider product management skills. While if your product is for internal use you need more business analysis skills. And product managers will benefit from knowing about business analysts and business analysts will benefit from knowing about product management.
You may also need specialist domain knowledge – you might need to be a subject matter expert in your own right, or you might become an SME in given time.
Some understanding of business strategy, finance, marketing, process analysis and design, user experience design and more.
Don’t underestimate the skills and experience you need to be an effective Product Owner.
At the very least a Product Owner needs the authority to nominate the work the team are going to do for the next two weeks. They need the authority to choose items form a backlog and ask the team to do them. They need the authority not to have their decisions overridden on a regular basis. (OK, it happens occasionally.)
As a general rule the more authority the Product Owner has the more effective they are going to be in their role.
The organization may confer that authority but the team need to recognise and accept it too.
I’ve seen many Product Owners who while they have the authority to nominate work for a team don’t have the authority to throw things out of the backlog. When the only way for a story to leave the backlog is for it to be developed it is very expensive. This leads to constipated backlogs that are stuffed full of worthless rubbish and where one can’t see the wood for the trees.
If the Product Owner doesn’t have sufficient authority then either they need to borrow some or there is going to be trouble.
Legitimacy is different from authority. Legitimacy is about being seen as the right person, the bonafide person to exercise authority and do the background work to find out what they need to find out in order to make those decisions.
Legitimacy means the Product Owner can go and meet customers if they want. And it means that they will get their expenses paid.
Legitimacy means that nobody else is trying to fill the Product Owner role or undermine them. In particular it means the team respect the Product Owner and trust them to make the right calls. Most of all they accept that once in a while – hopefully not too often – the Product Owner will have to say “I accept technologically X is the right thing but commercially it must be Y; full ahead and damn the torpedoes.”
It can be hard for a Product Owner to fill their role if the team believe a senior developer – or anyone else – should be managing the backlog and prioritising work to do.
Finally, and probably the most difficult… Product Owners need time to do their work.
They need time to meet customers and reflect on those encounters.
They need time to work-the-backlog, value stories, weed out expired or valueless stories, think about the product vision, talk to stakeholders and more senior people, and then ponder what happens next.
Time to evaluate what has been delivered and see if it is delivering the expected value. Time to understand whether that which has been delivered is generating more or less value than expected. Time to feedback those findings into future work: to recalibrate expected values and priorities, generate more work or invalidate other work.
Product Owners need time to look at competitor products and consider alternatives – if only to steal ideas!
They need time to work with the technical team: have conversations about stories, expand on acceptance criteria, review work in progress, perhaps test completed features and socialise with the team.
They also need time to enhance their own skills and learn more about the domain.
And if they don’t have the time to do this?
Without time they will rush into planning meetings and say “I’ve been so busy, I haven’t looked at the backlog this week, just bear with me while I choose some stories…”
More often than not they will wing-it, they substitute opinion and guesswork instead of solid analysis, facts and data. They overlook competition and fail to listen to the team and other managers.
And O yes, they need time for their own lives and family.
I sometimes think that only Super Human’s need apply for a Product Owner role, or perhaps many Product Owners are set up to fail from day-1. Yet the role is so important.
I plan to explore this topic some more in the next few posts.