Posts Tagged ‘product backlog’

Mix the Sizes of the Product Backlog Items You Commit To

Wednesday, December 30th, 2009

Teams used to a sequential development process have become accustomed to hand-offs between specialists. Analysts hand their work to designers who hand it to programmers who pass it on to testers. Each of these hand-offs includes some overhead in the form of meetings, documents to read and perhaps sign, and so on. In part because of this overhead, the hand-offs tend to be of large amounts of functionality. In the purest meaning of a waterfall process, the entire application is handed from group to group.

Teams that are new to Scrum often do not go far enough in eliminating these hand-offs. They often make the assumption that the programmers should finish programming a product backlog item before handing it off to the testers. This results in lengthy delays at the start of a sprint, when the testers are waiting for a first product backlog item to be handed to them. On a Scrum project, the unit of transfer between disciplines should be smaller than an individual product backlog item. That is, although there will always be some hand-offs (not everyone can be working on everything all the time), the amount of work being transferred from one person to the next should generally be as small as possible.

To facilitate these small transfers, Scrum teams learn to work by doing a little of everything all the time. Rather than an analysis phase (done without the programmer and tester) followed by a programming phase followed by a testing phase, a little of each of those activities is happening at all times.

Even with an emphasis on minimal hand-offs, there will be some product backlog items that will require a week or more of programming time before the programmer can give something even beginning to be testable to a tester. That’s OK. Not everything can be split as small as we might like. To avoid a flurry of testing activity toward the end-of-sprint, avoid bringing a bunch of these complex items into the same sprint. Instead of planning a sprint with, for example, three very large items that cannot be partially implemented, bring one or two large items into the sprint along with two or three smaller items. Some of the programmers can work on the large items, handing them over to testers whenever possible. The remaining programmers can work on the smaller items, ensuring a somewhat smoother flow of work to testers early in the sprint.

While your goal in each sprint should be to do a little bit of everything all the time, some backlog items are complex by nature and will not be completed until near or on the last day of a sprint. To avoid having multiple product backlog items wrapping up the last few days of the sprint, mix the size of the product backlog items you choose to bring into each sprint.

Make the Product Backlog DEEP

Monday, December 14th, 2009

Roman Pichler, author of Agile Product Management with Scrum: Creating Products That Customers Love, and I use the acronym DEEP to summarize key attributes of a good product backlog.

  • Detailed Appropriately. User stories on the product backlog that will be done soon need to be sufficiently well understood that they can be completed in the coming sprint. Stories that will not be developed for awhile should be described with less detail.
  • Estimated. The product backlog is more than a list of all work to be done; it is also a useful planning tool. Because items further down the backlog are not as well understood (yet), the estimates associated with them will be less precise than estimates given items at the top.
  • Emergent. A product backlog is not static. It will change over time. As more is learned, user stories on the product backlog will be added, removed, or reprioritized.
  • Prioritized. The product backlog should be sorted with the most valuable items at the top and the least valuable at the bottom. By always working in priority order, the team is able to maximize the value of the product or system being developed.

Product backlogs are discussed in much more detail in Succeeding with Agile.

Agile Design: Intentional Yet Emergent

Friday, December 4th, 2009

Scrum projects do not have an up-front analysis or design phase; all work occurs within the repeated cycle of sprints. This does not mean, however, that design on a Scrum project is not intentional. An intentional design process is one in which the design is guided through deliberate, conscious decision making. The difference on a Scrum project is not that intentional design is thrown out, but that it is done (like everything else on a Scrum project) incrementally. Scrum teams acknowledge that as nice as it might be to make all design decisions up front, doing so is impossible.

This means that on a Scrum project, design is both intentional and emergent. The design emerges because there is no up-front design phase (even though there are design activities during all sprints). Design is intentional because product backlog items are deliberately chosen with an eye toward pushing the design in different directions at different times.

As an example of how the product backlog items can be sequenced to influence the architecture of the system, consider a workflow system I worked on. The system supported a fund-raising company that produced specialized T-shirts and similar products. School-age children would go door to door selling these items. The sales revenue would be split between the company and the organization the kids represented, such as a school, sports team, or other group. For each sale, the kid would complete a form and send it to the company, where it was scanned, sent through an optical character recognition (OCR) process, and converted into an order. To keep shipping costs down, orders from the same organization were batched together and sent back to the organization, after which the kids would hand-deliver the items.

Our software handled the entire process—from when the paper was received by the company until the shipment went out the door. Kids have notoriously bad writing and are bad spellers, so our system had to do more than just scan forms and prepare packing lists. There were various levels of validation depending upon how accurately we thought each order form had been read. Some forms were routed to human data-entry clerks who were presented the scanned form on one side of the screen, the system’s interpretation on the right, and an additional space to make corrections.

Because thousands of shirts were processed on the busiest days, this process needed to be as automated as possible. I worked with the product owner, Steve, to write the product backlog. After that I met with the development team to discuss which areas of the system were the highest risk or we were the most uncertain about how to develop. We decided that our first sprint would focus on getting a high-quality document to run through the system from end to end. It would be scanned, go through OCR, and generate a packing list. We would bypass optional steps such as deskewing crooked pages, despeckling pages, and so on but would prove that the workflow could be completed from start to finish. This wasn’t highly valuable but it was something that needed to be done, and it let the developers test out the general architecture. After we accomplished this, we had a basic database in place and could move documents from state to state, triggering the correct workflow steps.

Next the developers asked the product owner if they could work on the part of the system that would display a scanned document to a human who would be able to override the scanned and interpreted values. This was chosen as the second architectural goal of the project for three reasons:

  • It was a manual step, making it different from the workflow steps handled already.
  • Getting the user interface right was critical. With the volume of documents flowing through this system, saving seconds was important. We wanted to get early feedback from users to allow time to iterate on usability.
  • After this feature was added, users could start processing shirt orders.

The project continued in this way for a few months and was ultimately tremendously successful, meeting all of the prerelease targets for reliability and throughput. A key to the success was that the product owner and technical personnel worked together to sequence the work. The closest the team got to a design phase was the first afternoon in the conference room when we identified risky areas and dark corners and decided which one we wanted to tackle first. From there the design emerged sprint by sprint, yet was intentionally guided by which product backlog items were selected to illuminate the dark corners and risks of the project.

Succeeding with Agile goes into much more detail on agile design, including how the roles of architect and user experience designer change with Scrum, the concept of emergent design, and how teams work together and with the product owner to deliver increments of functionality that guide the design of the final product.

Bugs on the Product Backlog

Monday, July 6th, 2009

A common question is whether bugs belong on the product backlog. Before I address that question, let me clarify that the question refers to bugs that are unrelated to functionality being coded during the sprint. If someone finds a bug during a sprint that is related to the features being worked on, the best thing to do is yell, “Hey, Mike, the boojum code is broken when I…” The second best thing to do is to stick a new task card on the task board saying “Fix the boojum code; it breaks when…”

But what about a bug found today in something the team wrote a month or a year ago? And what about the existing bug database that a team new to agile is almost sure to bring with them?

The ideal situation is to put the bugs right onto the product backlog. To see why, consider the situation from a user’s perspective: Do you think a user cares whether something is considered a New Feature or a Bug? No. The user just wants the system to behave in some way different from how it behaves today. They don’t care what it’s called.

But notice I called this the ideal situation. It isn’t always practical–and sometimes for reasons out of the team’s control or influence. Bug databases have a way of becoming embedded into organizations. The tech support group uses them as a primary way of communicating with the developers. The marketing group uses the bug database in a similar way. This makes it quit the bug database cold turkey.

In these cases, the most common solution teams use is to have two backlogs

  • a product backlog of features
  • a bug backlog

This approach is a bit harder on the team and the product owner but allows an agile team to work more easily with existing processes in the organization.

Sometimes when we make such accommodations to the overall organization, the accommodation can damage or destroy the agile adoption. Allowing everyone to work on five concurrent projects is an example of a crippling accommodation. Accommodating the organization’s use of a bug database is not crippling. It’s just a bit more work.

The product owner takes on most of the additional work by having to prioritize two separate work queues and then present them to the team in a more or less consolidated manner (“My top priorities are the first three items on the product backlog, then bugs #12403 and 12415, then these next two items on the product backlog…”). This isn’t too onerous as the items would need to be prioritized even if all were in one backlog.

So: Ideally bugs belong on the product backlog just like any feature request. But, that would often necessitate a significant change for the rest of the organization so two backlogs are used.

The Ideal Agile Workspace

Thursday, March 5th, 2009

As you may now, I am working on a new book, which will be called Succeeding with Agile. I recently finished writing a chapter for it on the impact of the human resources and facilities groups on an organization that is transitioning to agile. While writing that chapter, I put together a list of all the things that I think should be visible within the ideal agile workspace:

  • Big Visible Charts. Alistair Cockburn coined the term “Big Visible Charts” to describe the charts that agile teams like to hang on their walls. One of the most common of these is the sprint burndown chart, showing the number of hours remaining as of each day of the current sprint. Charts like these provide a strong visual reminder of the current state of the project. What is shown on these charts will get the attention of team members so display charts showing the most important information for that sprint. Ron Jeffries suggests considering big visible charts showing the number of passing customer acceptance tests, the pass/fail status of tests by day, sprint and release burndown charts, number of new stories introduced to the product backlog per sprint, and more.
  • Additional feedback devices. In addition to big, visible charts, it is common for an agile team to use additional visual feedback devices in their workspace. One of the most common is a lava lamp that is turned on whenever the automated build is broken. I’ve also worked with teams that use flashing red traffic lights to indicate exceptional conditions such as an issue on a production server. Also popular are ambient orbs and Nabaztag rabbits, which are wireless programmable devices that can also be configured to change colors, speak messages, or wiggle their ears as a team desires. Devices like these make a workspace more dynamic, unobtrusively bringing into it information the team may find helpful.
  • Everyone on your team. Each person on the team should ideally be able to see each other person on the team. This absolutely includes the ScrumMaster and ideally includes the product owner. I do understand, however, that product owners often have responsibilities to other groups outside the development team and so may sit near them instead. Still, in an ideal world the product owner would be visible to everyone in the team workspace.
  • The sprint backlog. One of the best ways to ensure that everything necessary is completed in the sprint is to make the sprint backlog visible. The best way to do that is by displaying the sprint backlog on a wall, ideally in the form of a task board A task board is usually oriented in rows and columns with each row containing a particular user story and one index card or sticky note for each task involved in that story. Task cards are organized in columns, minimally including “To Do” “In Process,” and “Done.” In this way, team members are able to see work progressing across the task board during the sprint and all work to be done is visible at all times.
  • The product backlog. One problem with running an endless series of sprints is that each can feel disconnected or isolated from the whole of a planned released or related set of new capabilities. A good way to reduce the impact of this problem is by displaying the product backlog somewhere clearly visible. This can be as simple as keeping the shoebox full of user stories written on index cards on a table in the middle of the team’s space. Even better, tack the index cards with those upcoming user stories on a wall where all can see them. This allows team members to see how the user stories they are working on in the current sprint relate to others that are coming soon.
  • At least one big white board. Every team needs at least one big whiteboard. Locating this in the team’s common workspace encourages spontaneous meetings. One developer may start using the board to think through a problem; others may notice and offer to help.
  • Someplace quiet and private. As important as open communication is, there are times when someone needs some peace and quiet. Sometimes this is for something as simple as a private phone call. Other times it can be to think through a particularly challenging problem without being interrupted.
  • Food and drink. It’s always a good idea to have food and drink available. These don’t need to be fancy, and they don’t even need to be provided by the organization. I’ve worked with plenty of teams that buy a small under-desk refrigerator and share the expense of buying water bottles or soda for it. Other teams buy a coffee machine, depending on team preferences. Some teams rotate bringing in snacks, both healthful and not.
  • A window. Windows are often a scarce commodity and are doled out to an organization’s favored employees. One of the nice things about an open workspace is that windows are shared. Even if the view is only of our parking lot and can only be seen across three messy desks, at least I can see the window and some natural light.

It’s unlikely that every one of these will be visible from your workspace, but the more of them visible, the better. Let me know what else you think should be visible from within the ideal agile workspace.

Why There Should Not Be a “Release Backlog”

Sunday, February 8th, 2009

I haven’t heard the term “release backlog” in many months, but it’s come up in three conversations over the past week. So, I want to share my thoughts on whether a team should have a Release Backlog in addition to the conventional Product and Sprint (or Iteration) Backlogs.

First, let’s clarify what people mean when they refer to a “release backlog.” A release backlog is a subset of the product backlog that is planned to be delivered in the coming release, typically a three- to six-month horizon. A release backlog would presumably contain the same type of items as on a product backlog. My preference for this, of course, would be user stories. So, at the start of some release planning horizon, a product owner with help from the team and other stakeholders would example the product backlog, select some amount of high priority work and move those items to the release backlog. Later, in sprint (iteration) planning, the team would examine the release product and select some amount of work to do. (Notice how this already goes against existing agile literature that says the team selects top priority items for the sprint from the product backlog?)

I am opposed to the use of a release backlog for a couple of reasons:

First, in all projects that are not being done as fixed-scope contracts (and, arguably, even then) we don’t know exactly what user stories or features will be delivered in a release. To say that there is a release backlog may not imply a guarantee that all features on it are delivered. However, it does create additional work as items are moved off back and forth between the product and release backlogs. This will happen as the team’s velocity changes (even by small amounts) from sprint to sprint. If the release backlog is to show what a team will deliver in a release, it should contain an amount of work equal to the number of story points (or ideal days) times the number of remaining sprints. If you have an average velocity of 20 and 6 sprints left, the release backlog should contain 120 points worth of work. Suppose the team finishes 24 points of work in a sprint. The backlog is now down to 96 points (120-24) but should contain 100 (5 sprints left x an average velocity of 20). Things get even more difficult if that good velocity of 24 increases the team’s average velocity to 21. In that case the release backlog should contain 5×21=105 points of work; we need to move 9 points of work from the product backlog to the sprint backlog. If there’s a release backlog, this moving of items back and forth from product backlog to release backlog will happen every sprint.

Second, introducing a release backlog creates additional confusion. We’ve already overloaded the word “backlog” with “product backlog” and “sprint backlog.” Why confuse things further with a third type of backlog unless there is an immensely compelling reason to do so?

Third, introducing the concept of a Release Backlog actually makes it harder for product owners to do one of the most important things they should be doing–looking at the features or user stories that just miss the cut of being in a release. When I look at a product backlog and count down the number of story points that I anticipate will be in the release, the most interesting thing to me is not necessarily the set of user stories that will make it into the release. I’m often just as interested in the next few user stories below that cut-off point. That is, I want to know what user stories won’t quite make it into the release. After all, we say that one of the benefits of agile (on some, not all, projects) is the ability to decide later if we should release a few sprints early (if a lot has been done), on the planned date, or perhaps a sprint or two late if we want to add more functionality before a release. This is made more difficult with a Release Backlog because a product owner now needs to examine both a Product Backlog and a Release Backlog to make these decisions.

So, what do I propose instead?

I advocate that all teams track their velocities. This leads to a graph like this:

Velocity as graphed over the last nine sprints.

This graph shows a team calculating three average velocities:

  1. Long term average, defined as the mean of the last eight sprints
  2. Worst case average, defined as the mean of the worst three chosen among the last eight sprints
  3. Best case average, defined as the mean of the best three chosen among the last eight sprints

You can choose your own ways of calculating long-term, best-case, and worst-case average velocities. These are just the ones I like. We use these average velocities as shown in this figure:

Using velocity to predict how much will be done by a given date.

In this figure, the product backlog is shown on the left as a stack of index cards. We use the three average velocities multiplied by the number of remaining sprints to draw arrows pointing into the product backlog. The range created by these arrows indicates the likely amount of work finished by the planned date. Our release plan is the work defined by the arrows. Rather than a Release Backlog as a new work product or artifact, my equivalent of a release backlog is the product backlog and these arrows pointing into it.

As you can imagine, predicting velocity as a range is much more likely to be accurate than using a single point estimate (“Our velocity is 31.”) as has been implied by everyone I’ve heard talk about a Release Backlog. Additionally, looking at figures like these should make it apparent that the amount of work expected to be delivered in a release will change from sprint to sprint. Pointing arrows into a product backlog is much easier and more helpful than creating a new work product, the Release Backlog.

Clarifying the Purpose of Iteration Planning

Tuesday, November 25th, 2008

I was recently asked whether it would be OK for a team to complete their iteration planning without going to the point of estimating tasks in hours. To answer this, let’s consider what the purpose of iteration planning is.

In my view, the purpose of the iteration planning is for the team to arrive at a commitment to some set of functionality that they feel reasonably confident they can complete in the coming iteration. The purpose is not to identify tasks. The purpose is not to estimate the number of hours for each of those tasks. The purpose is to figure out how many and which product backlog items they can commit to delivering in the coming iteration.

If a team can do this without discussing tasks and hours, so be it. If a team can walk into the iteration planning meeting and one team member announces, “Sssh, I’ve receiving divine inspiration……… We can do the first three items plus the sixth on the product backlog,” I would call the meeting over and we’d have our commitment. I’d be impressed and I’d be skeptical, but we’d be done with the meeting.

Since I haven’t seen a team do this yet, I strongly recommend that an iteration planning meeting involve identifying tasks, estimating the effort of each, and then using that information to arrive at a set of product backlog items the team can commit to. I think this is the best way for a team to arrive at that reasonable commitment that I believe is the purpose of this meeting. Is it the only way? No. I’ve also worked with teams who decide that they will split work up such that all tasks are “about half a day”. They then can skip explicitly estimating the hours for each task because, in a way they’ve already done it.

But, until I learn how to receive divine inspiration at the start of my iteration planning meetings, I’m sticking with identifying tasks as hours as a good way to figure out how much to commit to.

Non-functional Requirements as User Stories

Friday, November 21st, 2008

A common challenge with writing user stories is how to handle a product’s non-functional requirements. These are requirements that are not about specific functionality (“As a user of a word processor, I want to insert a table into my document.”), but are rather about an attribute or characteristic of the system. Examples include reliability, availability, portability, scalability, usability, maintainability. As you can see from that list, non-functional requirements are often referred to as “-ilities”. Of course, not all non-functional requirements end in “-ility.” We also have security, performance, robustness and so on.

Thinking back into the dark ages, I can remember when I first read about “non-functional requirements.” The term threw me for a loop. “If it’s non-functional, why do I care about it?” I’m sure the author of that book clarified this for me a page later, but the term has always seemed an odd one to me. I prefer to think of non-functional requirements as “constraints” we put on the system. When a product owner says “this system must perform adequately with 100,000 concurrent users” the product owner is putting a constraint on the development team. The product owner is effectively saying, “Develop this software any way you’d like as long as you achieve 100,000 concurrent users.” Each constraint we put on a system narrows the design choices a bit; calling these “constraints” rather than “non-functional requirements” helps us remember this.

Fortunately constraints / non-functional requirements can be easily handled as user stories. Here are a couple of examples:

  • As a customer, I want to be able to run your product on all versions of Windows from Windows 95 on.
  • As the CTO, I want the system to use our existing orders database rather than create a new one sot that we don’t have one more database to maintain.
  • As a user, I want the site to be available 99.999% of the time I try to access it so that I don’t get frustrated and find another site to use.
  • As someone who speaks a Latin-based language, I might want to run your software someday.
  • As a user, I want the driving directions to be the best 90% of the time and reasonable 99% of the time.

As you can see from these I was quite easily able to stick with the “As a <type of user>, I want <some goal>, so that <some reason>” template that I prefer for most user stories. I do this for a couple of reasons but want to comment further on only one of them here. Consider the example of the CTO constraining the team to use the existing orders database. (This was the real situation; the team was considering a second orders database that would be sychronized at night. The CTO overheard this and said “no!”) If we wrote this requirement as simply “Must use existing orders database” it would be entirely possible that a few months down the road we wouldn’t remember why we should be constrained in that way. We’d ask the product owner if she cared if we used a secondary database, and she’d say she had no objections. And we’d make a mistake of using one. Embedding the person who wants something can be very useful.

But, you should be careful not to get obsessed with that template. It’s a thinking tool only. Trying to put a constraint into this template is a good exercise as it helps make sure you understand who wants what and why. If you end up with a confusingly worded statement, drop the template. If you can’t find a way to word the constraint, just write the constraint in whatever way feels natural

Visualizing a Large Product Backlog With a Treemap

Wednesday, July 2nd, 2008

In the early days we promoted agile only for small teams because that was where it originated. We had plenty of experience to say that agile worked well on seven- to ten-person teams. We were also quick to learn the techniques that allowed agile to scale up to around 20-40 people.

These days, though, there are many truly large projects being done with agile. In preparing for this posting I started counting on my fingers the number of 100+ person projects I’m aware of. I quickly ran out of fingers. I’ve been involved in a couple of 500+ person projects and am aware of three projects that each have over 1,000 people. We are truly at the point of doing large scale agile.

Unfortunately, the charts and tools we use for such large projects have not entirely caught up with us. For example, the time-tested Scrum burndown chart is absolutely wonderful but is really limited to showing only one thing: a single team’s rate of progress through their product backlog. This month I want to write about visualizing large product backlogs using a technique I’ve been advocating with my clients for three years but will be writing about here for the first time.

Suppose you have a very large product backlog–such as one with lots of themes (groups of related user stories) or being worked on by multiple agile teams. The best way to visualize this product backlog is with a treemap. Treemaps were invented in the 1990s by Dr. Ben Shneiderman as a way of visualizing hierarchical (that is, tree-structured) data.

The following is a simple treemap of a two-story house:

treemap of two floors of a house

In this treemap, each rectangle is sized to represent the relative area of the room. From it you can see that the master bedroom is about twice the size of either kid’s room and a little larger than the downstairs family room. The combined green area of the downstairs rooms is slightly larger than the area of blue upstairs rooms. From this very simple treemap you can get a feel of certain aspects of this house.

To visualize a product backlog with a treemap we need to conceptualize it as hierarchical data. We can do this a couple of different ways. For example,

Rental Car Theme

  • As a traveler, I can rent a car
  • As a traveler, I can get collision insurance on a car rental policy.
  • As a traveler, I can request a baby car seat be inside my car.

Airplane Theme

  • As a traveler, I can request an aisle seat.
  • As a frequent flyer, I can request an upgrade to first class.

Or we could create a product backlog as a tree with levels for

  • Team
    • Product Backlog Items Being Worked On By That Team

The following figure shows a product backlog as a treemap. There are five themes in the treemap. (Theme 4 is in the top left; Theme 1 is in the bottom right. You can click on it to enlarge it but be sure t come back.) Each theme is made up of a number of individual user stories. Story 4-28 (indicating the 28th story of theme 4) is in the top left. I’ve used this “theme-dash-story” notation for simplicity only for this example. I wouldn’t do that on a real project, of course.


a treemap

The size of each story in the preceding figure represents the number of story points that the story was assigned when estimated. Colors can be used on a treemap to represent an additional attribute of the data. On agile projects I’ve used colors to represent whether a user story has been developed or not. One color coding we used was:

  1. Done
  2. Started but not done
  3. Not started but not planned to have been started yet
  4. Not started but it should have been started by now
  5. Blocked

I’ve also used color to indicate which team would work on a user story / product backlog item or whether the item was ready for development or not. Treemaps are very flexible in this regard. Check out the link to the stock market as a treemap at the end to see a great example of using color.

A good treemap is interactive–you can mouse over, click on regions of it, and so on. For example, in the treemap above you’ll notice that some of the user stories of Theme 4 are so small you can’t read them. Clicking on a part of Theme 4 should zoom the treemap in so it displays only Theme 4, meaning more room is available and more detail can be shown as below:

Zoomed in on Theme 4

Sometimes zooming isn’t enough. A good treemap implementation will also display additional detail when mousing over part of it as shown in this example:

A treemap with an active popup

Treemaps are an excellent way of visualizing large product backlogs. To date, I’ve made use of various open source or relatively inexpensive general treemapping tools to create these on my projects or for my clients. Hopefully now some of the leading agile tool vendors begin to incorporate this type of visualization technique into their products. I would love to be able to visualize a large product backlog and interact with directly from within some of those tools. Until then, check out some of the links below for useful ways to create treemaps. The ones in this posting were created with IBM’s free Many Eyes tool.

Useful links:

  1. The stock market as a treemap
  2. IBM’s Free Many Eyes tool
  3. A good interactive example of a treemap
  4. Read news headlines as a treemap
  5. A simple JavaScript implementation you could add to your project homepage

Advantages of the “As a user, I want” user story template

Saturday, April 26th, 2008

In my user stories book and in all my training and conference sessions on user stories I advocate writing user stories in the form of “As a <type of user>, I want <some goal> so that <some reason>.” While I consider the so-that clause optional, I really like this template.

At a recent conference, someone asked me why. Because I get that question fairly often I want to give three reasons why here:

Reason 1
Something significant and I’m tempted to say magical happens when requirements are put in the first person. Obviously by saying “As a such-and-such, I want….” you can see how the person’s mind goes instantly to imagining he or she is a such-and-such. As for the magic, Paul McCartney was interviewed and asked about why the Beatles songs were so amazingly popular. One of his responses was that their songs were among the first to use a lot of pronouns. Think about it: She Loves You, I Wanna Hold Your Hand, I Saw Her Standing There, I Am The Walrus, Baby You Can Drive My Car, etc. His point was that these helped people more closely identify with the songs. I tried briefly to find a source for this interview tonight and the closest I found was this. The information in that reference fits my recollection of hearing McCartney says this during a radio interview in 1973 or 74 that I assume was recording when the Beatles were together.

Reason Two
Having a structure to the stories actually helps the product owner prioritize. If the product backlog is a jumble of things like Fix exception handing, Let users make reservations, Users want to see photos, Show room size options, and so on, the product owner has to work harder to understand what the feature is, who benefits from it, and what the value of it is.

Reason Three
I’ve heard an argument that writing stories with this template actually suppresses the information content of the story because there is so much boilerplate in the text. If you find that true then correct it in how you present the story. I’ve seen backlogs in Word that present the boilerplate in grayed text with the unique parts in black. I’ve created product backlogs in Excel that use column headings to filter out the common text. Look and you’ll see what I mean:

sample user stories in Excel

Seriously take a look at the image above before continuing….I’ll wait……Please, really look at it before reading further…..

OK, here’s how I bet you read the spreadsheet. I bet that as you read most of the rows you added in the “As a…”, “I want….” and “so that….” text, possibly even by looking at the heading as you read across each row. I’ve experimented by asking people and this is what most people do. If that text is unnecessary, why do we mentally mouth the words to ourselves or even glance at the heading while reading the row? Perhaps it’s not so non-essential after all.

For now, and probably a long time to come, I’ll be sticking with the “As a <type of user>, I want <some goal> so that <some reason>” template for these and other reasons.