What the hell is a Sprint Review?

This is the last post before New Year’s Eve: so it is time to “review” the year which is going to give us the gift of enjoying the last days in its last month. That’s why I decided to spend few lines about Sprint Review.

2013 has been for this blog quite an interesting journey of 22 articles: I learned a lot by publishing them and I hope the 9000 readers (R)Evolutionary Agility had in the last 2 years have learned something as well. I wish you all an exciting and joyful 2014!

Some weeks ago I delivered a 3-days course for Scrum Masters. I usually visualize the agenda as a backlog of subjects we prioritize together throughout the training.

During a coffee break a guy approached me and asked: “I recognize the different ceremonies in the agenda, but I never heard about Sprint Review. We normally do a Sprint Demo: is it the same thing?”

“It depends on what you do in your Sprint Demo. Can you tell me more?”, I answered.

“Well, at the end of the iteration our Program Manager calls for a Demo meeting. All Scrum Masters are attending and reporting what we have been doing during the past 3 weeks”.

“So what are you demoing then?, I asked.

“We’re presenting a powerpoint slide set, showing a detailed report of the different activities during the Sprint, who was doing what and how much time was spent given the people allocation”.

Again? Yet another manipulated buzzword!?

And yet another empirical evidence of how an organization can produce so powerful antibodies to resist and protect itself from cultural change bacteria.

So let’s see if we manage to inject some virus of learning and growing mindset: these are usually quite effective in spreading willingness for improvement.

Let’s start from some why: why is a Sprint Review important? What is the purpose it is meant to serve?

Scrum is grounded in empirical process control theory and therefore uses an iterative and incremental approach to optimize the path towards a certain business goal by means of fast feedback loops. 

As any other implementation of empirical process control, it is based on 3 pillars:

1. Transparency

All information necessary to handle the process must be available to those handling the process

2. Inspection

The different aspects of the work must be inspected frequently enough so that unacceptable variances can be detected. Of course the skill and diligence of the people inspecting the work resul matter.

3. Adaptation

If the inspector determines from the inspection that one or more aspects of the process and the resulting product are unacceptable, the inspector must adjust the process or the material being processed. The adjustment must be made as quickly as possible to minimize further deviation.

The Sprint Review meetings are used to inspect progress toward the Release Goal and to make adaptations that optimize the value of the next Sprint.

The Sprint Review is then an important learning point and a fundamental step in the empirical process control applied by Scrum. That’s why calling it just “demo” is mislabel, since this word does not capture the real intent of this ceremony. Let’s analyze what might be the learning points for the main actors:

• The Product Owner and key stake-holders learn what is going on with the product, what are the results of the Sprint and check whether those results are able to bring the whole Scrum Team closer to the Product Vision. The Sprint result will have anyway impact on the Product Backlog for the next Sprint Planning: new stories might be added, changed or removed and prioritization might change.

• The Development Team learns what is going on with the Product Owner and the market. They also learn whether the Sprint Result validated the assumptions they made during the Sprint Planning. For that reason it might be useful to review the estimates, to check whether they got confirmed after the story was actually built: in this way the team know how to estimate better and build a better baseline to relate further estimations. They’d better review also the different team metrics and the Sprint Burndown Chart to gather interesting data for the coming Sprint Retrospective. Review of Team Working Agreements and Definition of Done will indicate the team whether what they learned during the Sprint can affect the team’s rules or their quality criteria.

For these reasons, the most important element of the Review is the conversation and collaboration between the Team and Product Owner to learn the situation, to get advice, and so forth.

It is a public ceremony: the Product Owner, Team members, the ScrumMaster, plus customers, stakeholders, experts, managers and anyone else interested is allowed to attend and anyone present is free to ask questions and give input. The Scrum Master will work to maximize the learning of all participants.

Even though calling the Review just “demo” doesn’t really make the point, the demo is anyway an important part of it. But what does it make sense to demo?

Let’s have a look at some of the Principles in the Agile Manifesto:

1) Our highest priority is to satisfy the customer through early and continuous delivery of valuable software

3) Deliver working software frequently, from a couple of weeks to a couple of months, with a preference to the shorter timescale.

7) Working software is the primary measure of progress.

It doesn’t mention powerpoint slides, right? J

So the only demo which makes sense is showing an installation of an integrated potentially shippable product increment. BTW, the Product is the only language which everybody, from business to developers will understand the same way.

Remind: spend as little time as possible on preparing for the demo. If you need to spend a lot of time there must be something wrong somewhere.

If you read and liked this article, I have a question for you: 

How will you change your next Sprint Review?

The metrics enigma

This is the third post I host from Mauro Bagnato: my friend, if you keep producing at this rate in 2014, I will be gladly forced to open a special column for you!

A hot issue is touched this time: organizational metrics. The ones among you who are constantly reading (R)Evolutionary Agility know that I wrote already an article about this subject and I have plans to write more about it. 

Whether you celebrate Christmas or not, I wish you all restful and peaceful season’s holidays!

I’ve been struggling against organizational metrics for almost two years.

I must say that it’s a bit frustrating to look for a reasonable answer to the question: “which are the right metrics that an Agile organization should have?” and get the feeling to be very close to the goal, but without being able to hit the target!

These days I recalled a famous quote from Charles Kettering saying: “A problem well stated is a problem half solved”. It made me reflecting. 

Couldn’t it be that it’s so hard to find the solution of the metric enigma just because of the wrong question? Got convinced about it, I decided to start from scratch and to ask myself: Why do we need metrics?

Here you are the answers which came up in my mind.

We might need metrics because we want to:

•  find the evidence that the Agile transformation is worth the investment
• understand if we’re improving
• understand if we’re getting closer to our vision
• show our stakeholders we’re a fantastic organization
•  etc. (I could go on…)

This approach looked promising. Clarifying the purpose traces the direction and helps identifying the metric we really need, the ones linked to our goal. So far so good I’d say!

And now? How to move further? How to turn this goal into metrics? How to measure something so vague and undefined like stakeholders’ perception, improvement, ROI of the agile transformation etc.? In other words, how to measure intangibles?

The answer, or better, the method to measure this kind of things is described in the book “How to measure anything” from Douglas Hubbard. This very interesting book proposes a three steps way to measure intangibles:

1. Concept of measurement. What does measurement means?

Usually measurement is thought as the process aiming at quantifying something or giving something an exact value. This common conception implies that measurement means reaching a sort of certainty (numbers or values are expression of certainty).

This idea fits very well with the measurement of lengths, widths, etc. but when it comes to the intangibles (like happiness, empowerment or motivation) it doesn’t help a lot.

Scientists use a different definition: A measurement is a quantitatively expressed reduction of uncertainty based on one or more observations.

This definition introduces two interesting points:

·     Measurement is no more connected to the idea of certainty but is defined as reduction of uncertainty.

·     It’s possible to measure anything (intangible or not) observing the impacts, the effects, the results.     

2. Object of measurement. What do we have to measure?

Even using the new definition, something could still seem immeasurable simply because the object of measurement is not clear or is not clear enough. Very often clarifying the meaning of what we want to measure makes the problem much easier. What does it mean? That’s the fundamental question to answer.

How to measure happiness? One million dollar if someone is able to find the answer!
Let’s try to change perspective and decompose the problem by answering the question: What does happiness mean? For me happiness means having enough time to dedicate to my family and to my hobbies. Measuring the time spent that way gives me an indication of how happy I am!

I found something measurable to observe reducing the uncertainty related to the measurement of happiness!

It might happen that the answer to the fundamental question is still something intangible. In this case the trick is to repeat the question till the answer is become something measurable.

D. Hubbard suggests also a different way to clarify the object looking at the effect or the consequences: Let’s suppose to be able to clone someone and to be able to instill a massive dose of happiness in the cloned guy, holding the amount constant in the original one. What do you imagine you would actually observe that would change for the cloned guy?

Whatever the method, once the object of measurement is clear, it’s possible to find the way to measure it.    

3. Methods of measurement. How do we measure?

I’ll not dig too much into this point but D. Hubbard suggests to make use of whatever methods of measurement based on:

·     Sampling. It simplifies a lot the process of measurement. We need much less data than we think to get a valid measurement.

·       Experiment. Anyone can develop an intuitive method for measurement and the best approach is to try it and learn from it.

Let’s come back to the starting problem and see if the method works. Assuming that we need metrics because we want to know if we are improving, next step is understanding what improvement means. Assuming that improvement means delivering more value, now we need to understand what delivering more value means. Assuming that delivering more value means delivering what customers really need, what happens when customer have what they need? Assuming that when customers have what they need, they simply use it, we could start observing how many customers really use what we deliver.
We got the object of measurement! Now the point is how to measure it? How many data are we going to collect? Making a sampling of the customers could simplify a lot the measurement itself without compromising the results (see “The rule of five” proposed by D. Hubbard).

It seems we got the point but…could we get there without wasting our time with all this stuff?

Before answering the question, we should consider that the outcome of this method is not only metric itself, but mainly the path to get there. Questioning the need (what we want to achieve), decomposing it reflecting on its meaning/effect and then finding what to measure, builds a sort of picture communicating:

• what we want to achieve
• how we want to achieve it
• What we consider important, what we care of.

Then metric becomes the logic consequence of this journey.

In the next post I’ll tell you how I applied this method in a 4-hours workshop for defining the metric of the organization I work with.

The Mango Tree

I found out that I like the “gardening” metaphor a lot (see also my latest article).

Last Friday I met a colleague during a coffee break.

We were sharing some views about what had happened during the week, when he said: ”You know, this transformation we are all undergoing is like a mango tree. Everybody seems to want mangos, but no one seems to care about how juicy they are and to know how to get juicy mangos”.

Nice way to put it: don’t you think so?

Then we started building upon this metaphor and having fun taking it to the extremes.

And I think that, what we got out of it at the end, was really good way to explain what does it take to get a team or an organization become Agile or more generally to make a change successfully happen.

So what will a good gardener do in order to get the juicy fruits she wants to harvest in her garden?

1.    Decide what fruits or vegetables you would like to collect

The first step is definitely to define what kind of garden you would like to build and what fruits or vegetables you expect to get. Then you can go and buy the corresponding seeds to plant: of course you need to plant mango trees if you want to get mangos. On the other hand you will never get mangos out of onion seeds (for instance have look at this article from Lyssa Adkins to check out what to seed to get a high performing team)

2.    Work a good piece of land

Quality of seeds is essential to get juicy fruits, but so is quality of land. So make sure to have the right environment for the plant to grow strong. Plants growing nearby can also affect the taste of fruits and vegetables: for instance if you grow lettuce close to artichokes, it will probably get bitter. A good gardener knows that, same as she knows how air pollution can also be very detrimental.

3.    Start growing small plants

So how do you think you can verify whether you bought the right seeds and you worked the land properly? Will talking about how the plant should look like help? Most probably not.

Instead a good gardener would start planting some seeds and grow some small plants. She would water the plant; she would ensure it gets enough sun (but not too much); she would fertilize it and protect it, so that it grows strong and can produce the first fruits.

4.   Taste the fruits and decide what to do

Finally she will happily pick the first fruits and taste them to check if they are sweet and juicy enough. Sometimes you will not even need to wait until the fruits are mature. It won’t be hard to see quite early if you’re getting the right fruits in the first place: you will pretty easily tell a mango and a pineapple apart. If you’re getting the right fruits with the expected quality, you can keep growing the same tree and maybe plant more of the same. Otherwise you can even remove the plant or adjust your gardening, trying a different type of fertilizer or dose the water differently. Until you get the wonderful garden you were looking for.

Does this remind you anything? Right, it looks like the Plan-Do-Check-Act cycle from W.E. Deming.

BTW, gardening follows just an empirical approach, the same as Lean and Agile. 

Both gardeners and agilists don’t spend time talking about how things should be done in the best way, but they start doing things, just enough just in time, and most important they learn by actually doing, one experiment at a time.

So, what about your Agile transformation?

Are you actually planting seeds and tasting the first fruits?
Or are you just talking about how a good mango tree should look like, maybe even without having ever seen one?

The snowball

This week I host another article from Mauro Bagnato. Today he shares some reflections about his experience with enterprise Agile transformation and provides a concrete example of a management practice about leading self-organizing teams.

After almost three years working as Agile Coach, one of my personal take away is that the Agile transformation is like a rolling snowball.

Once you really walk this way, your mindset will gradually but inevitably change till the moment when it’ll be impossible to get back to your old way of thinking, just like a snowball getting bigger and bigger while rolling downhill.

A clear example of what I’m saying happened weeks ago.
After a complete re-organization, the management team decided to let people self-organize to form twelve brand new teams…and the snowball was thrown! The team setup was a great whole day event (if you’re interested have a look at my previous post).

Everyone had the chance to choose the team to work with, but we all knew that this was just the starting point.

How to select the Scrum Masters and the Product Owners? 

How to group the teams to form four development units? 

How to assign a manager to each unit? 

Those questions and many many others were on the table and needed a fast answer.

”Why not letting teams decide again by themselves?” said one of the managers.

"Did I get it right?": I thought.
The snowball was getting bigger and was still rolling…

So…after having given people all the support and information they needed to make a conscious decision, teams were asked to select their Scrum Masters and Product Owners and to give their preferences among the list of managers.

How did it go? I would say that the whole experiment was a complete success!

I’ve got this feeling not because I’m 100% sure that we found the best setup possible, but because of how much we learned out of this journey.

And now? The snowball keeps moving and we’ll see what happens!

Product Backlog Gardening, with love!

Wikipedia (btw, the most successful example of an emergent product from a self-organizing team) provides the following definition:

Gardening is the practice of growing and cultivating plants. It involves an active participation and tends to be labor intensive, which differentiates it from farming or forestry.

I cannot find a better metaphor to describe the continuous work that a proficient Product Owner needs to do with the Product backlog.

1. First step is actually to plant a seed. That’s the purpose of defining the Product Vision together with the customer, answering the questions: What do we want to accomplish? And why? All gardeners know that quality of the seed is essential and of course you need to plant cherries if you want to get cherries and you cannot get roses if you plant onions.
2. After you plant the seed, you need to water and fertilize it. Then the first small sprout will come out of eliciting a set of SMART (Simple, Measurable, Achievable, Relevant, Traceable) requirements, focusing on customer needs, on the problems to solve or better on the problems worth solving.
3. The tender small plant now needs a good environment to strengthen and grow. Gather all needed people in a User Story workshop and collaboratively write down as much as stories as possible. You as a Product Owner, exactly like a good gardener, do not have to do all the work yourself: you need proper tools and a fertile land. So use the best land, i.e. the power of the diverse brains around you. Present your Goal for the next Release Cycle and the related Requirements. Make use of creativity techniques to elicit as many User Stories from the Team as possible. Try to identify top MMFs and break them down into User Stories, or cluster User Stories into MMFs.
4. Good User Stories should be INVEST
• Independent: Stories are easiest to work with if they are independent.
• Negotiable... and Negotiated: A good story is negotiable. It is not an explicit contract for features; rather, details will be co-created by Product Owner, programmers and testers during development.
• Valuable: A story needs to be valuable to the customer. Think of your Product as a multi-layer cake: a story is supposed to give the customer the essence of the whole cake, and the best way is to slice vertically through the layers. Developers often have an inclination to work on only one layer at a time (and get it "right"); but a full database layer (for example) has little value to the customer if there's no User Interface.
• Estimable: A good story can be estimated. We don't need an exact estimate, but just enough to help the customer rank and schedule the story's implementation. Being estimable is partly a function of being negotiated, as it's hard to estimate a story we don't understand. It is also a function of size: bigger stories are harder to estimate. Finally, it's a function of the team: what's easy to estimate will vary depending on the team's experience.
• Small: Good stories tend to be small, such that the team can do 6-10 stories in a Sprint as thumb rule. Above this size, it will be too hard to know what's in the story's scope, it will delay the feedback loop and increase the project risk.
• Testable: A good story is testable. Writing a story carries an implicit promise: "I understand what I want well enough that I could write a test for it." Teams are made more productive, by writing customer tests, in terms of Acceptance Criteria, before implementing a story.

INVEST is not only an acronym, but means the Product Owner needs to invest time, energy, skills and, why not , love, to make the plant flourish like all passionate gardeners do. And you cannot achieve it on your own: you can have a say on the "INV" part, but you will never get the "EST" without your team. Remember: Gardening involves an active participation and tends to be labor intensive, which differentiates it from farming or forestry.

5. A good Product Backlog is of manageable size, more granular on the top and more general towards the bottom, so that you do just enough, just in time work. Continuously trim useless leaves to give more space and lymph to the buds going to bear fruit soon: the User Stories being developed in the coming iteration and transformed in a potentially shippable product increment. Nevertheless continue watering and fertilizing the plant, looking a bit ahead to set the stage for later buds and fruits.
6. If you want to collect many fruits after each Sprint and thus maximize the Return on Investment, you might need to split User Stories in smaller chunks. But beware: splitting by architecture or by implementation details is a common mistake. It creates smaller stories, but fails several of the other INVEST criteria and then does not bear fruit. There is no too small story, unless it fails delivering value to customer. You can find a suggestion of possible good patterns to follow when splitting stories and still keep them INVEST here. An awesome and useful mindmap guiding you through the different patterns can be found here.

GIGO theory

One of the biggest causes of poor Product quality is a poor Product backlog, exactly like a sick plant cannot bear juicy fruits: GIGO theory applies J

So are you constantly gardening your Product Backlog with love?

Or are you expecting to harvest without hard work and passion?

I’m sorry to say that you will only collect invaluable fruits, my friend!

Self-organized team setup: how to cook it!

Today I have the pleasure to host an article from my friend Mauro Bagnato. It's an interesting post around self-organization and what it takes to make it happen and working functionally to achieve a compelling goal. 

What does self-organized team setup mean?

Put a hundred people together in the same room, ask them to form twelve teams and wait till the magic happens!

Sounds quite easy, fun and fast, right?

So…why don’t we try it tomorrow morning in our organization?

Unfortunately it does not happen that way; you need to mix together the right ingredients in the right quantity and with the right timing.

If you want, here is my recipe: 

1. Start with a massive quantity of the Lean discipline Respect People: trust them, let them decide and truly believe that, given the goal, they will find the best way to get there. 
2. Keep on shaking the whole organization (starting from the leadership team) to be sure that this fundamental ingredient is very well spread and understood by everyone.
3. Now mix with a purpose, a goal that WE, as a collective, strive to achieve. Take it very carefully, because only a common and inspiring goal may overcome the inevitable selfish choices that may occur during the team setup: we’re not here to build only one marvelous team, we’re not here to fulfill only our personal aspirations, but we are here to work TOGETHER to build a brand new organization setup that will take all of us close to our goal. That’s our mantra!
4. Don’t forget just a pinch of organization constraints: a very few rules the teams have to respect while forming.
5. Now blend everything together in a whole day event where the initial chaos, due to a hundred people moving, chatting and laughing, will turn step by step into twelve groups of people (the future teams) ready to cope with all the challenges they will face.
6. Don’t forget that good ingredients are not enough to have a perfect flavor. You need the right cooking time and procedures as well: in our case coaching and communication. Involving the whole organization during the preparation, keeping everyone informed, letting everyone understand what we’re doing (and above all why we’re doing it that way), challenging the current way of thinking are definitely what we need for a perfect flavor.

And now enjoy!

Change is optional: survival is not mandatory

As many of you can have guessed, the title I chose for this post is inspired by a quote from W.E. Deming.

When I got to know Deming for the first time, many of his lessons came as a revelation to me: they were kind of resonating with my personal thoughts and reflections, but still they cleared out many clouds.

One of those I prefer is: 

“…most troubles and most possibilities for improvement add up to proportions something like this: 94% belong to the system, 6% are attributable to special causes.” 

I think that this simple sentence can trigger several reflections about how to make things happen and especially how changes can have a chance to happen and possibly stick.

Below are mine, from my personal survival handbook J.

1. Look at the system

An organization, even a single team, is a complex network of people, who are complex beings. If you really want to leverage on all potentials to affect it, you must look at it as a whole system. 

Try to sketch the possible options you have ahead, possible impediments and way to overcome them to reach your goal: you might realize that you need to take many steps, in order to get any progress. 

Prefer actions who affect the environment around or the process to do things, instead of addressing directly a specific problem: they will have a more lasting impact. And, whatever level you want to affect, consider acting also one level up.

“It does not happen all at once. There is no instant pudding.”-W.E. Deming

2. Involve people

Try to understand your team or organization very well. Learn about the invisible networks, the inner relationships among people, who is friend of whom, who is most sensitive to certain subjects and who counts more or is more influential on certain subjects, whether he has a formal power or only a de-facto leadership. Talk to people, with a preference for informal chats (coffee machines are a perfect place sometimes).

“A desk is a dangerous place from which to view the world” – J. Le Carré

Create an alliance: find initiators to support you and involve them in creating a shared strategy for the change. 

Chase innovators eager to try new things out first and learn from people actually doing the work. 

Find also sponsors to support you in difficult situations and leaders who can help with crossing the chasm and reach out the majority.

“The greatest waste … is failure to use the abilities of people…to learn about their frustrations and about the contributions that they are eager to make”- W.E. Deming

Strive for ways how to collect as much feedback as possible, especially from skeptics, but do not spend time in convincing cynics and possible saboteurs.

3. Communicate properly

You cannot just plan your change at your PC, create a slide ware and then ask to deploy it to the whole organization.

How many times have you tried to do that way? How many times did it work?

“Insanity: doing the same thing over and over again and expecting different results.”- A. Einstein

Instead explain the “why” for the change; make people aware of what it might mean and relate the change to their daily problems.

Have people desire the change (what’s in it for me?), support them with the change, provide the necessary knowledge and give them time to learn. 

Offer role models, lead yourself by example and help people with mentoring and coaching on how to change.

“If you want to build a ship, don't drum up people to collect wood and don't assign them tasks and work, but rather teach them to long for the endless immensity of the sea.” – A. de Saint-Exupery

4. Reward behaviors not outcomes

When you make a change or learn something new, usually your performances at the stuff affected by the change are getting a bit worse, especially at the beginning. So give room for experiments and possible failures, so that people are not afraid to try new things.

Celebrate short-term wins and success stories; make them visible and share the results with information radiators. 

Publicly reward those who are learning more or sharing more with others, so that the change can go viral. Express appreciation for the right behaviors so that the desire for change is continuously reinforced.

“The most important figures that one needs for management are unknown or unknowable” – W.E. Deming

5. Use an empirical step-wise approach

Before taking any step, try to guess which effect it will have in relation to your goal.

Make a hypothesis and try to validate it as quick as possible with minimum viable actions and fast feedback.

However changes in a complex environment are never a linear process you can plan upfront, set goals and KPIs, deploy it to the organization and track the progress. That’s why sometimes you must simply try things out. That is sometimes absolutely not bad, stated that you try to fail fast and reflect on what you learned to find a different path.

Of course using an empirical process control implies that you can observe your system to be able to inspect and adapt. Therefore enable full transparency; make relevant information visible as much as possible from everybody to everybody to be able to really understand what’s going on and act accordingly. Otherwise your change will degenerate into chaos.

“It is not enough to do your best; you must know what to do, and then do your best.” – W.E. Deming

How much time and effort are you spending really nurturing your system?

How much are you learning from people actually doing the work?

Are you really making changes happen or just increasing the entropy of your system into chaos?

And if don’t mind about change and how to make changes effectively, skip the whole article and just consider that: 

“It is not necessary to change. Survival is not mandatory.” – W.E. Deming