Capacity and Performance

“Your capacity to say no determines your capacity to say yes to greater things”        – E. Stanley Jones

This is something in business we all struggle with in my assessment. How to sequence “just the right amount of work” to deliver value and still all the desired ability of an organization to remain responsive to shifting value needs. My organization has struggled with it as I feel confident many of you have as well.

There are a lot of techniques, both agile and not, to determine capacity and we’ll look at a few and I will express my own opinions here and what effects poor capacity planning can have on teams and organizations.

Somebody call 911!

A lot of us live in a world of “firefighting” as an organization. Not literally, but what I mean is that we become reactionary as an organization as opposed to responsive.  Organizations often confuse responsiveness as the ability to handle each fire as it occurs when it reality this is chaos at its core. Often, these organizations are so busy fighting the blaze that they never take the time once the situation has passed to ask why the fire actually started in the first place or they confuse every flare up on the same level as the entire city in flames. This is not responsive, it’s reactionary and although you may be defined as the “hero of the day” in the moment, it eventually raises much deeper problems that can become exposed and have to be addressed.

Being a reactionary environment is inefficient. It means that there is a significant amount of waste happening waiting for the disastrous event or worse yet it is a sign that work is improperly sequenced to allow a balance of responsiveness and performance. Signs of this are often team member turnover, sick time increases, increased deep policy to attempt to be preventive (the “ban all matches” approach) or just a general negative outlook to solving a problem. Be vigilant in observation for these types of issues as one you define yourself as this type of an organization, it is often very painful to change.

Capacity, Performance and the myth of being busy

One of the things that I have always believed is “do less better”. Ensure that you are meeting the highest value items for an organization but in the face of emergent needs you have to deliberately create slack within your work capacity for numerous reasons. Things like actually being responsive to the emergent pet project that comes up, capacity to nurture your teams and team members to allow them to grow and give back to the organization in doing so and generally to improve performance throughput

Basically capacity boils down to “how much something will hold” from a true math reference bt in our terms it means how much time and work can we consider and remain effective in our performance. Finding area and volume of a given shape to determine capacity is a relatively simple formula but when it comes to people and time, it often gets tougher (although I know many PMP folks who would explain to me formulas of resource management, resource being a word I strongly detest when referring to “people”).

A general rule of thumb is that you will never receive the maximum capacity of a given person or team. Accept this. If a person works an 10 hour day, the best you can hope for us 70%-80% which is roughly 7-8 hours at the high ends. The reason for this is that people are social creatures and have needs like going to the restroom, checking emails, diverting their attention after prolonged focus, casual conversation, meetings, etc.

If there are CIOs/CFOs/COOs/CEOs reading this in awe and shock, welcome to the reality of people. And it is even possible that 10% of your overall workforce is performing suboptimal based on lack of skills, poor work ethic, sickness, burnout or whatever reason. So how do you handle this and still maintain a level of performance without remaining in a constant hiring frenzy of cycling burnout workers?

First, accept your reasonable capacity levels and plan strategically. If you do, you will find that you optimize the flow of delivery within that capacity and you often see higher percentages executed (which can be a different topic to watch for … “dark work” that has no visibility and creates strain but as things are delivered on time no one questions).

If you think more bodies are the answer. You’re wrong. Read the Mythical Man Month. As you increase complexity to any systems you fragment pathways making performance degrade. Think of a small intimate dinner gathering and how conversation can flow well between 2 couples (as they can keep up with topics or break into smaller sub groups and still reflect to the group). Now introduce 2 more, and 2 more, and 2 more. Make it a large dinner party and afterward come home to discuss the topics of conversation. The pathways are too complex. You cannot keep everyone in the loop on all of the conversation occurring.

The same thing occurs with software development. As you introduce more and more staff you increase the complexity in the forms or handoffs, communication pipelines, individual or small group decisions that get made, etc which make it slower as rediscussion, rework and deeper changes are often a result. This is often why I prefer product feature teams as opposed to component teams whenever possible.

Secondly, if you want to be responsive; be deliberate in building in slack to your approach. Let’s take 3 examples; road networks, servers and teams.

Road Networks:

You are driving to work. There are 30%-50% of other cars on the road. You make your commute in a reasonable amount of time. But we are not utilizing all of the capacity of the road! So let’s crank it up to 100% and make that same commute. What is the expected result? Traffic jams, delays due to accidents, road rage. We actually decreased our performance by trying to fill all of our capacity.


This is a little tougher as in the day of invisible scalability of cloud networks it may seem a poor example, however, if a server capacity is maximized to 100%, performance degrades; it is a given. It results in unneeded swapping just to meet all requests. It may seem negligible but if you have ever been frustrated waiting for a web page to load, you may have been experiencing exceeded capacity.


Filling a team capacity to the brim can result in whiplash when trying to meet those emergent needs With that allowed focus, you have teams that maximum their throughput through selection, self-organization and a regular cadence. If they have other responsibilities (support, meetings, etc) not building in that capacity that is aware of these things will result in feelings of being high performing but in fact often degrade performance and hide a lot of work being done on an employee’s own time (which can result in a whole host of issues).

But we have to keep people busy

Do we? Did we hire the individual with a specialized set of skills to ensure they remained “busy” or did we hire them to ensure that we had the necessary skills to realize the end result of value?

If a manager pops into a team room and a team is relaxed, having a conversation about Dr. Who or some world event is that ok? Sure it is. If they are personally making their commitments and failing to deliver value, then you might sense a problem which could be everything from they are sandbagging to they are being disrupted externally for other work to the guidance they are receiving is creating deep and counter productive conversations at the time of delivery from a lack of understanding. It could be lots of things.

The point is not to keep people busy. In trying to do this based on observations of social interaction as a sign of low productivity, you toss the idea of capacity out the window. For me, I want a highly motivated team that wants to come to work and deliver because they know they have a direct voice in setting and communicating reasonable expectations for feature delivery. Does this not mean that occasionally the team may not be forced to ramp up commitments to meet a deadline? Absolutely not. But if you trust the people doing the work to be reasonable and responsible in communication, transparency and of the delivery of that work; often times I find teams will rally to address the hard need.

Otherwise they are back in firefighting mode.

Seeking to ensure teams and team members are “all busy” is a false goal. It equates people with server throughput. People should be cultivated and grown if you want to create longevity of any sort in your company with employees. They will become your greatest champions and advocates if you embrace this. They will tell others of the great company they work for and they will work hard to deliver of their commitments.

I write this post today not out of any personal or professional frustration but from an observation that many organizations focus on “busy” as opposed to intentionally creating space to be responsive to emergent needs. Just like a home’s unused space get filled, professional people fill the unused space (through skill acquisition, environment improvement, idea sharing, etc). But just like a home; should you inherit your grandmother’s giant steamer trunk if you have filled all of your capacity of space it gets placed in an odd location or you “make room in the attic”.

Be honest and kind to yourself as an organization, your people and reflect a true understanding of capacity by considering more than just “delivering more” or “being busy”. Understand what other impacts that people have that impinge on capacity and to become truly responsive, be intentional in creating slack within your overall capacity.

As I always say and I will say once again … “Do less better”.


Product and Organizational Bloat

“Life’s too short to build something nobody wants” – Ash Maurya

YAGNI or “You Ain’t Gonna Need It” is a principle of the extreme programming approach created by Ron Jeffries (who coincidently also used story cards as a way to focus development on small items centered around interaction and conversation to gain understanding).

“Always implement things when you actually need them, never when you just foresee that you need them.” – Ron Jeffries

This idea was a cornerstone of a lot of approaches centered around lean product development and agile product thinking. It does not mean that you are not charged when developing a product that may wow and excite your stakeholders but it does mean that there is a real art in the balance of applying “not now” to a feature.

Steve Jobs is often referenced to have a keen intuition to this in guiding the feature sets of Apple products under his watch to often purposely avoid features that were not at a point of making the “right” impact. The iPhone and its lack of a few core features available in competitors is often referenced as an example of this. Why would you not implement features that were core to the competitor’s products on purpose? I am paraphrasing but I believe his response was often “it is less important to build every feature than to build the right ones and that by trying to do so, by the time completed; they will want different features”.

Anyone who has ever seen the Simpson’s episode in which Homer designed his own car (“The Homer“) realizes the potential consequences of doing everything that pops into your head within product development. The end result was a car that was intended to be designed for the “every man” but ultimately became the wishlist of Homer alone with a sticker price for $82,000.

In the 80’s and 90’s Microsoft was often the butt of many jokes within the development and design community for their Microsoft Word product because if every menu was turned on within the product it allowed the end user a small strip of editor window from which to work. Of course, this was a extreme issue to beat on a software leader of the time (and they did have at least 80% of the menus off by default for the most part). The idea though was that by providing all of these features it would allow the end user to control the customization of the product to their use. This is pretty much an old design approach that is far less prevalent as it was often necessary to be coupled with massive help guidance for those features which were embedded into the product at the time as well.

One example I have been tracking recently is Facebook’s feature growth strategy. They started out as a targeted social connector service that streamlined the interface to dominate the competitors in the market . It seems, however, now they are developing a “all services in one” model which may, or may not, pan out to be the right marketing strategy. Let’s look at how their features have unfolded lately:

  • Introduced Facebook Games possibly as a way to attempt to compete within the mobile application game market.
  • Introduced Messenger – Competition for base messaging services and maybe things like slack, skype, etc.
  • Introduced Facebook Live – Competition to other video sites such as Youtube, etc possibly.
  • Recently introduced Facebook marketplace as an alternative to Craigslist, etc.
  • Developed a phone OS to compete with Apple, Android, Google.

I think that this pattern outlines a platform that is in search of the next pinnacle. All of these services also are a way for them to feed a highly developed analytic engine that can determine the trends of users and try and guide them down a pathway based on interests. Not a bad gamble as the likelihood that you will find a segment of the market space dissatisfied with a service they are matching and willing to even just try it based on the familiarity with the Facebook platform is a solid gamble. In this fast pace environment, people like to do things with minimal friction (a later blog topic) so you will capture a market.

The key will be watching the numbers to determine if it is important to continue this feature, Google has been a master of this approach and has supported and abandoned entire products that had a minimal market share and I think Facebook will apply the same watchful nature to know when it is time to pivot or persevere. But only time will tell. 😉 Will the expand and rule some of this space or will they diffuse and diverge to find something else?

You may be thinking “are you telling me I should just build a simple, crappy product and not cultivate the product. How is that gonna fly”? This is not my intent.

Ideation is a Great Tool!

The Google Ventures Design Sprint outlines the following process (also seen in many Lean approaches) to validate and learn about feature impact as well as gain immediate feedback within a fixed horizon process (in their process this is typically one week).

  1. Understand
  2. Diverge
  3. Converge
  4. Prototype
  5. Test

Phase two of this process is centered around divergence after a period of gaining understanding of the problem space. What this entails in mass generation about potential solutions to the problem. The goal is to center around the largest number of potential solutions so that the design sprint team can cull/collapse and combine in the convergence phase to focus them for the prototype creation.

This idea of mass idea flow is not unsimilar to product feature ideation during product discovery. It should always be the goal of a product team to thinking about all the potential end user “wow” features or how they can present features in the best user experience. However, there is a dark side to all of this. You have to be able to do the same as a design sprint and cull the herd. It’s a necessity to explore and examine the potentiality of the product but it is also a real art to being able to refine the feature set down to a manageable level that maximizes impact, value and learning.

The challenge is typically not with the ideas but the skill in which those ideas are refined, combined and reduced to maximize time to market, customer joy and lay the groundwork upon which to continue to delight.

Less is More

Often as an agile leader, I am faced with the pressure of more “wants” than capacity ever allows. The worst thing I can possibly do is to say “Yes” to everything. What are the possible consequences of this posture?

  • I set a false expectation for delivery as I do not consider the capacity of what can actually be delivered.
  • I may compromise the quality of the work through a consideration of over-commitment resulting in additional rework, staff burnout or injured morale as a result of staff over alignment.
  • I remove the ability of my organization to pivot, persevere and re-adjust to organizational needs that emerge and respond as timely as possible.
  • I add the overhead of support as a hidden cost if the same staff are used for build and run operations.
  • I disallow myself the ability to continual nurturing of the culture by having horizons to focus on self learning and innovation outside of product delivery space and therefore stand to harm accepted cultural values of my group.

What my typical stance as a leader is to “do less better”. Does this mean I am unwilling or inflexible to the needs of the organization? Of course not. What I am unwilling to do is to place the health and potential damaging impact to my unit culture as a balancing point to accomplishing what is often just a “wish list”. I try and focus a view of being reasonable and responsible to my organization in terms of their needs which should also to be to keep a happy and healthy work culture intact so that capacity is not constantly in flux resulting in the overhead of onboarding and offboarding employees, morale reduction and taking away the value of the team making commitments to delivered work and respecting the commitments they make.

Many of you are reading this now and thinking “this guy works in a fairy world” but this is far from the actual case. I am a leader inside a large scale enterprise and experience the same pressures and demands as many of you. Where our thoughts may diverge is that I have to look at not only the bottom line of the enterprise but the health of staff and adherence to values to continue to be successful. It is not enough to “deliver cool stuff” if you work/life balance or work/life integration (moreso today) is overwhelmingly in the work category to an unhealthy level. The result will be a culture in which commitments become less valuable, end results become compromised and the health of your organization suffers.

Many startups have learned the harsh lesson that after the thrill of creation is done, all of the beer taps, ping pong tables, office hammocks and cool factor can wear off. These are unsustaining items of value. They are tangible things that people are enamored with as a “great environment” but later ask “is this why I stay here”? Not to say that your environment should not facilitate the best and most productive inducing experience but if that is the level of commitment by a company, this is usually seen through by software professionals over time. They look for something else. Cool challenges will keep them for a while but when the routine work sets in, what tangible things have you offered that make them want to stay?


But I am getting off track here. Basically this idea boils down to a belief that by not putting one’s organization in a state of over-commitment, you allow yourself to consistently wow your end customers with the things that you do produce.

When targeted your features, you build in the possibility of innovative thinking spikes in creative work and give support to failure and regrouping as an option. You make quality something that is baked in and not an afterthought.

So when you think about product features and organizational commitments and bloat, are you looking through the lens of YAGNI? What would happen if you did so?

Stay Agile!

Observations and Adjustments

“One must learn by doing the thing, for though you think you know it-you have no certainty, until you try.” – Sophocles

I always thought this was an interesting quote. You cannot gain any certainty without trying … something. And even at that, you may actually fail. But if you are truly learning, you adapt and adjust and give the next experiment a fair shake of success.

From software to science, using experiential learning as a way to define an experiment, to conduct and observe the outcome to potentially learn and adapt the experiment as needed has created amazing products and scientific breakthroughs.  It works. I think we can all agree on this.

So, why do you think we don’t apply it to something like organizations?

Fear of Failure

Thomas Edison is quoted to have said “I have not failed, I have just found 100,000 ways it will not work” in relation to his research into the first lightbulb. This is a very healthy way to look at progress but very contrary to a lot of business thought. Why do you think that is? My speculation, which could be very wrong, is that for Edison there was the possibility of the realization of a dream forged from that creative spark with future potential of a product. For many businesses, the future capital earnings heavily outweigh the creation of “the thing”. Many of the successes in the world have been born from the want to capture an idea and then only become monetized later therefore reducing the fear that capital is burnt without return.

Often times, creators of these eureka products (Google and Facebook as a couple of examples) are often shaken by the idea of monetization as the creation was the core driving factor, not the end profit result.

I honestly feel that the initial introduction of the drive to capital gain often induces this fear and it creates a trickle down effect from the very top all the way to the source of creation of the product. The pressure to get to market first and capitalize of the highest money stream may cause people to become less innovative, take less risks and instill a fear of product failure even before it hits the waters.

But I contend that keeping the horizon for learning at a “just enough” level not only helps you determine a better product but it can save money from building out full features that are often unused (see the pareto principle as applied to software features) or poorly received.

Minimal Viable Product

Eric Ries of the Lean Startup approach introduced this concept (I think it had rolled around for sometime but he is connected with the idea) as producing the smallest amount of the idea to learn from. Basically a seed of a product to gauge a posture to “pivot or persevere”.

One of the most noted examples of this approach is Dropbox. The initial MVP for this product was a marketing video explaining the product and how it would work. This was launched and an accompanying form was created so that potential customers could sign-up for future information about the product or provide feedback.

This allowed them to gauge interest to know if their investment into the product in which they saw high potential value showed a reaction by their potential market. This was actually one of the most brilliant approaches I had ever seen. They were actively working on the product and seeded their base features before completion to test the market space. Had they gotten a less than exciting response, they could have targeted marketing research and determined why or pivoted their approach in some way (either the campaign or the product work).

How did this help them in proceeding this way? It allowed them to learn about the interest of their potential market and gauge feedback from customers before launch so they could consider the feedback and potentially pivot with the market. If the feedback was a “lame duck” they could have abandoned the product altogether and pivoted towards a new direction. This allowed them the potential of failure much earlier. The potential magic of all product management after this stage is having that gut feel for how long you can ride this curiosity until the product must get to market. This is why really good product owners stand out.

Minimal Marketable (or Lovable) product

This is another concept introduced that we see extremely frequently in the market space of software and software services. Determining only those core level services or features that get buy-in to a product for more. This means that product vision has to be solid to get these to market and feedback and seeding of new features is sought to be cadenced regularly.

The initial iPhone release is a prime example of this approach. When initially released, the iPhone lacked many features that were present in many of the competition in the marketspace (MMS messaging, apps and the ability to copy and paste). But when released it became one of the fastest selling phones in the cell phone market (competing more closely with mass volume sales of game stations like the Play Station 3). Which it did seed was a phone level OS with an SDK for developers to build upon (even though there was no store in place yet for deployment or sales mechanism). These “missing features” allowed them to gauge the market reaction as they had faith in their initial MMP to ensure the importance of future features and to allow them space to ensure that they released the best quality updates with these features sought by customers.

They released a product that seeded a way for it to grow (the iOS Phone SDK), made it available to the developer community and focused on those features of differentiation that allowed them to not only contend with the market but even under strong criticism and scrutiny release the features not initially there in a thoughtful way consistent to their brand and end goals. They essentially “hooked their customers” through thoughtful and innovative design and a stellar responsive interface (far better than competitors) which allowed them to build the features that would build a community around the product. By making the Phone OS available, they even made it possible to “jailbreak” the phone and create some of the missing features which could allow them to gauge what potential customers seemed to be drawn to use. This allowed them to strive to introduce the right features at the right time and draw from the community at large to create a learning opportunity and pivot as needed.

The Design Sprint

Another recent approach to the idea of validated product learning is the Google Ventures Design Sprint . This idea distills the idea of rapid learning through a functioning (and often simulated) prototype to gauge immediate and rapid feedback from real potential customers for a idea over a short span of time. O’Relly Media has also written an excellent book on this approach which can be found here. The idea itself has been around for sometime and often attributed to be initially used at IDEO Design as early as 2009.

The idea divides the approach optimally into a 5 day approach which breaks down to one day focused on the following events:

  • Understand – Define and unpack the problem to solve (though interviews and research)
  • Diverge – Generation of ideas to solve the outlined problem (more is better, no wrong answers)
  • Converge – Determine which ideas or pieces of ideas will be pursued for testing
  • Prototype – Build a prototype of the solution that end users can actually play with and develop testing criteria to observe
  • Testing – Validate your assumptions through observation of user interaction with prototype and providing feedback

Here are a couple of real world examples of how this has been performed

Building a new Shopping Cart (IDEO, 2009)

Savioke – Building a Room Service Robot

This approach may not work for every scenario but as a tool in your toolbox for learning, this can be a rapid way to learn what resonates with your potential market and generate immediate feedback from real-world interaction.

So, where does that leave us?

In the vein of this blog being focused towards being about agile leadership, I wanted to explore this topic to hopefully inspire those leaders to truly see the value of a targeted small experiment from which you can gain quick knowledge about your potential product from which you can pivot, persevere or abandon. The key being that failure should always be an option but seen as a mechanism for learning and focus as opposed to use as something to vilify a bad approach.

I hope this will guide you to finding tools to help you target your search for knowledge or even better be inspired to create the next approach of which I blog about.

Fail fast and stay agile!

— Todd


The cobbler’s children have no shoes.

“If we desert the inner self to focus on the energy outside, it leaves a vacancy inside”              – Trudy Vesotsky

There is a dilemma that every software group I have worked with has faced and I have never seen anyone actually “solve it” in the grand sense although I have seen some really good ideas in action. It’s the idea of investing back into the work you do as a software group so that you can leverage this investment in the ability to continue to “do the work” for others.

Hence the reason for my blog title. The cobbler does amazing work for all of the paying customers wanting to buy shoes but never finds the time to put shoes on his own children’s feet or teach them to be a cobbler themselves.

Where does this often stem from?

In my experience, this perpetuates inside an organization in several different ways:

  • Fear to apply capacity by the leadership for something in which direct end profit is not seen or justification seems hard to communicate upward to these leaders without technobabble.
  • Guilt, on the side of the workers, who feel like they will never be granted the ability to do this so they either complain or burn the candle at both ends to make it happen in shadows.
  • Lack of focus or understanding of need. As Stephen Covey talks about in his works, sometimes we are “too busy picking up rocks to as what kind of rock we are looking for”.
  • Sometimes it is just culturally engrained (which is the toughest). It is just generally accepted (and often with great grumbling) that anything without direct tangible end stakeholder benefit is just less important.

I remember when I was a young IT professional and I was sitting with an assistant director of the company who had tasked me to thoroughly understand how their IT organization worked and look at improvement opportunities.

I posed the question “I have observed that any project that is related to the business receives a budget, people and focus but I cannot find where the same approach is made when approaching upgrades of tools, servers or your technology stack and training, why is that”? There reply was immediate without hesitation, “those things are the cost of doing business and therefore below the line and as they are internal in nature are more flexible than customer delivery”.

I paused for a moment. “So, if they are the ‘COST’ of doing business, why are we paying for them on a revolving payment plan? What I mean is if the core goal and mission is to deliver modern and innovative solutions to end stakeholders, how can the justification of making the things upon which support your competitive advantage in the market be something that is addressed in a “stop and start” manner to be superseded by other items without completion”?

And here it came … the death blow. “This is the way it’s always been. We cannot just take time to improve internally and not deliver things to the customer”. Discussion over.

I walked away from this discussion feeling really sad (and as a young professional, deflated and experiencing an early disillusionment) as this company had so many bright, excited people who were inspired to do the work they did. They wanted to do interesting things and support the business through bringing potentials of innovation. They were, instead, given the communication that we keep the factory running. We only think about making improvements when a production shutdown is going on. What this meant for them over time was they saw themselves get further and further behind and the climb to get current made the effort, the learning curve and possibly the investment so great that they would never receive the support they needed to make it happen. So, they grumbled, they left, or they resigned themselves to work with what they had to get the work done.

I tell this cautionary story as in reading it you may see similarities in the company you are in now. If you are and you are a leader in this organization. Affect change. Even the smallest changes you can do as seamlessly as possible to keep some cadence of improvement going. Don’t let the hill you pile up for yourself make it impossible to climb.

So what can we do about this?

Again, I do not have “the answer” as my organization struggles with this like others do. We have at least made a commitment to our culture and ourselves to keep visibility on this and push for these things without fear. Sometimes we win and sometimes we don’t.

Please do not misunderstand me in discussing this. I am not talking about the “junior level developer fascinated by every technology under the sun” sort of change. Not that you are in a constant pivot. But that if you are going to be in the business of software, you have to ensure that your tools and approach allows you to grow at a reasonable pace with the industry”.

You do not want to find yourself in a situation where the iPhone has been out for a decade telling your team, “we need to learn how to develop for mobile”. You might get there but it’s not likely that you are going to be competitive here. You probably missed your window. The same comes from jumping on tech early just to “get there” with no plan on  cultivating the approach or refining the skills. I cannot tell you how many government agencies (and companies that contracted to them) I saw build a native iOS mobile or Android app just to see it wither on the vine, never get updated or enhanced and die on the vine. Mobile App storefronts are littered with these types of applications. They wanted to be “first” so they could take advantage early for the trend but in hiring out the work, they created a dependency on a end vendor to update this platform and typically at a premium, which often meant that unless the app was getting mass attention, slowly stopped being paid to update and support.

Those cautions aside, have some seasoned technology professionals (CTO, architects, senior developers) in your organization that watch technology trends and “sticking patterns” of languages. Understand your regional technology market so that you can hire for technology you can support more readily or develop a good “gig based economy” model for models that work in conjunction with teams you are training on a new technology. Don’t think you can ever stop learning and growing. And as a result of that, keep your toolsets as current as reasonably possible so that you are riding closer with software trends and not trying to just race to catch up.

If you are in the business of software, and this applies even if you are a software group within a non software company, cultivate and advocate to the business leaders as a whole being reasonable about the investment they make in technology as a core support of the business. Don’t be silent while budgets are drawn and plans are made and let the needs of the very thing you do not be heard. Be certain, the “cost” of doing business in building software is in fact a cost. Do not let it become something to do when there is time.

Get creative.

One thing we can try (and that we do here) is to adjust capacity of people to try and free up time for focus on doing these types of things. This can often be more palatable for a business. The idea of losing 2-3 people for 1-2 weeks to focus on this thing is something that “feels” reasonable on face value. It’s about the impact of a vacation by an employee. You will be amazed at what people who are motivated to leap, with some small pre familiarization, can get done when freed up to focus on a task. Just try and keep things small, targeted and end goal based. Even if the goal is research of a technology, have an end goal in mind like a “go/no go” and recommendations for investment.

Outline the tangible benefit for the effort. Think about what the investment will ultimately do for the business. And it does not have to be only about technology. Maybe it will allow you to recruit better in the market space, maybe it will allow you to retain staff as they continue to grow, maybe it is an early investment in the direction a given technology is headed. And sometimes, just sometimes; it’s to ensure the business does not make a large scale investment technically that it will be dependent on a recurring vendor cost to support, maintain and update or the marketspace indicates that leveraging of this technology is actually less effective than the vendor indicates. But stay focused to work on it. Don’t shelf work each time more work comes in. If you continue to do this two potential situations can result a) the ramp up time to get back to where you left off multiplies each time you walk away or b) the direction you were headed becomes obsolete and therefore require starting over or abandoning the effort (which may not be costly but it does have a negative impact on those who have done the work).

Don’t let yourself keep building shoes for others and never attending to your own family.

Take a moment and pick one of these kids and build them some shoes!

Just one thing …

Curly: Do you know what the secret of life is? [holds up one finger] This.

Mitch: Your finger? Curly: One thing. Just one thing. You stick to that and the rest don’t mean s***.

Mitch: But, what is the “one thing?”

Curly: That’s what you have to find out.

Jack Palance and Billy Crystal  from the movie “City Slickers”

I always found this scene amusing when I was a kid. The old ranch hand trying to teach a city guy the value of focus for clarity. Of course at the time I just thought it was funny. After all these years, I realize that Curly was teaching a true agile value. Focus.

Focus is that thing that often gives us clarity. It gives us the ability to think deep thoughts and really unravel an idea. It allows us to extrapolate from a big thing into discrete pieces upon which we can undertake. It applies to things in life as much as it does in software development. I have started to really appreciate this as I prepare for an upcoming house declutter and move.

Do I allow myself to always embrace this seemingly simple approach. Nope. I, like others, allow myself to get too “focused” (and I use this term loosely here as it really not focused at all) on too many things. Like those performers that are spinning plates on a skinny stick, I find myself focusing on keeping them all spinning sometimes. But, as I am want to do, which often results in a blog post, I find myself stopping, breathing, thinking, assessing and questioning my current chartered course. So here we are.

Focus is a core value in agility as it allows us to actually be more productive by allowing ourselves to work to accomplish “that one thing” as Curly put it.

Under scrum, we demonstrate this through the user story, the task decomposition in terms of work effort. We use focus in terms of daily risk mitigation through a focus meeting called the  stand-up. We focus on the features committed within the review and the team within the retrospective. If you look closely, focus is woven throughout

Kanban has WIP and the innate concept of “pulled work” which itself a way to focus and measures this through the idea of how effective our focus on delivery is through things such as cycle time.

But there is one dimension in which I often see less focus. In the process of delivery. What I mean by this is often I see scrum development teams use a “divide and conquer” approach in which teams members use their specialized skills to scatter and seek to deliver. They are in no way being less agile in this approach but I have always wondered what would happen if they allowed themselves to focus and iterate just like the larger product. There are examples of this. Just take a look at Woody Zuill’s mob programming or pair programming as outlined in Exteme Programming by Kent Beck.

My latest read, “Joy, Inc” talks about the use of pair programming as the standard way of how they hire and how they work. They see it as not only a way to create shared knowledge by this but also to ultimately be more productive.

So, I have posed this question many times to developers and often get the same response “well, development doesn’t quite work that way” to which I often reply “are you willing to try an experiment and either fail or be wrong”? *smiles*

My logic has always been that if a sprint backlog is supposedly composed of a top to bottom prioritized list of the highest business value, wouldn’t we want to work through the items (given we identify any dependencies and work to minimize those with the product owner) and focus to deliver each story in that manner during a sprint? Or even look at the absolute most complex item and focus on completion of that story and then work on the lower hanging less dense fruit?

I see 4 potentially significant benefits that could result from this:

  1. We get items in front of our team members specialized in quality quickly so they can assess features for compliance to acceptance, note any software issues or quality enhancements and they can become productive more quickly. They are reviewing and testing completed features, even if there are mocks behind some dependent needs of other stories. They also are able to learn a portion of the system under construction and build automation against it for regression more quickly if needed.
  2. If we for some unforeseen reason we are impacted to effectively deliver on all stories for our commitment, we can at the first responsible moment, assess remaining team bandwidth, current deliverable dependencies and make decisions so that we can have that conversation immediately with our product owner so we can remain transparent on the impediment and impact but emphasize our focus on the highest priorities or largest complexity first.
  3. We reinforce iterative development at the lowest level of development (by using refactoring and integration as part of the way we work) and can focus on ensuring that we meet our agreed definitions of done at each story level.
  4. We “should” end up with a set of features tested early which should allow us to as a team to swarm baking in quality for our product and preparing for our review at sprint’s end (given we did not over commit …)

So in my view this approach makes sense to me and I have worked on teams that worked this way and we remained productive and felt like we were accomplishing more towards our product goals. We effectively delivered features regularly for review for the stakeholders.

A lot of folks may be reading this and joining the chorus of previous conversations saying “yeah, sounds good but you don’t really understand” …

So I reply to you all … “are you willing to try an experiment and either fail or be wrong”?


Scrum Alliance Webinar

“One of the most sincere forms of respect is listening to what people have to say”

– Bryant McGill

I was very honored to be asked to conduct a webinar for the Scrum Alliance with my colleague and friend, Mr. Joe Kirk, about our agile transformation work with a state transportation department this week.

I really enjoyed discussing our journey and addressing questions for attendees.  The scrum alliance should be posting a follow-up to the talk soon in which we addressed questions for which we did not have time to do so during our talk.

Agile Transformation at Tennessee Department of Transportation


Our Sprint Cycle

I was asked by a colleague how we have designed our software sprint cycle. As I explained it, I thought that this might be a good topic to just outline as part of this blog. This approach, which could be dubbed “lucky 13”, is the standard of how we conduct product work. Is it perfect, probably not, however, we do see it as an experiment and evaluate its effectiveness over time.

Some precursory notions as to why we built our sprint cycle this way:

  1. We want to be reasonable and responsible in how we build software and give a predictable horizon for commitment delivery to the product owners.
  2. We want to give the proper space for planning, tasking, review and retrospective
  3. Continuous learning is highly important to me and our organization so it was with intention that we built in slack time to allow us to do this.

So how does it work?

Day 1: Planning and Tasking the Work Ahead

This is our planning and tasking day. We split it into portions to allow the conversations to occur so that we can gain understanding and make our commitments as well as use the second half of the day to decompose the work ahead.

Days 2-11: Product Build/Test/Deploy

Composed of 10 working days for building, testing and deploying our code to meet the commitment and prepare to review for the product owner. 15 minute daily standups are held throughout this cycle to synchronize the team work.

Day 12: Review and Retrospective

Typically our product review occurs in the morning allowing us to demonstrate the features for the product owner. We will, on occasion, have a window for sizing any new stories that have emerged into the product backlog. Following lunch (usually as a team) the team meets in the afternoon to conduct their retrospective. While many of our retrospectives focus on improvement in the next cycle, we often times balance this with focus on team unity, team health and technical discussion as needed and to keep the retrospectives fresh and engaging.

Day 13: Lab Day

This is the slack that we build into our schedule for continuous improvement. It’s a very small horizon so deep work is unlikely to occur. Teams spend this time learning new skills through online training, have more “deep dive” technical discussions or discuss refactoring that may be needed as a result of accrued debt within the cycle. This point in the horizon accomplishes two important things. 1) It allows teams a moment to reflect on their skills, their product and seek to learn as a part of the culture. 2) It gives the team a momentary “breath” between sprint cycles. It allows them to level set, focus and be prepared for the next sprint

How we Adjust Capacity

We made a conscious effort to really consider team impacts and after observation we determined that our team impacts to capacity occur in two major forms; team capacity loss and team member capacity loss. We handle each of these differently.

Team Capacity Loss

If the entire team is impacted, by a conference, a holiday or an “act of God” disaster, we consciously adjust our schedule to account for this impact to allow the team to retain a full 10 day build cycle. This does not happen very often but we found that it is best for us as it retains consistency within our development cycle.

Team Member Capacity Loss

This is handled differently based upon the reason behind the impact. If a team member has a planned outage (vacation, doctor’s appointments, etc) then we adjust the capacity for the individual based on the outage and the team adjusts their commitment accordingly to compensate for this team member being out. They communicate about this prior to the next planning meeting so they can make this impact visible to the product owner.

If the team member has an unexpected capacity reduction such as sickness or other life trauma; the team uses the idea of “first responsible moment” to make this impact visible and communicate impact to the commitment to the product owner. It has become generally accepted in our organizational culture that in doing this, they provide insight as soon as they are aware of impact which builds trust and openness between the teams and product owners. It also provides the product owner an opportunity in the face of impact to have a conversation with the team to determine if any value can be salvaged from the commitment impact and provides them insight early to review release plans and manage stakeholders.

Pros and Cons of this Cycle


  • It provides a given horizon for the teams and the product owners.
  • It allows the teams to control and adjust the work based on impact. It reinforces the agile values of self-organization, self-management as well as transparency.
  • It gives team space to ask questions before beginning a sprint cycle in a larger context before commitment to create shared understanding or if necessary split stories, etc.
  • Through building in slack time within the standard sprint cycle, we foster the value of learning and provide the space to do this on a regular basis.It also allows for team building and to “level set” for the next sprint.
  • For our organization, this sprint cycle appears to be a “sweet spot” of predictability and maintaining a small enough horizon to effectively manage risk.


  • Using such a long cycle only allows roughly two sprint cycles per month.
  • The horizon of the “lab day” is very small in scope and therefore no in-depth learning can occur.
  • I have been challenged by purists that this is not a typical scrum sprint cycle as I have purposefully pushed the beginning and ending “rituals” outside of what people think the sprint should be. What we discovered was that the teams sought more time to prepare for the work and therefore made a conscious effort to give them this space. We also felt that the review and retrospective should have its own horizon for effectiveness. I do think we are following the base scrum guidance of a sprint being 1-4 weeks and performing the rituals prescribed. We just feel that they needed more focus outside of delivery to heighten effectiveness.
  • This cycle relies a lot on emergent design from both an architectural and product design sense. Finding ways to place this better into the context of product planning so the team could have wireframes and user experience for guidance (and refine during the sprint) as well as base architectural guidance would be helpful. We are presently evaluating how to best facilitate this.

So, this is how we build products at my company and what has worked for us. This may not be the end result of where we land but we’ve been using this approach effectively over the past 2-3 years. As most everything we do, we see this as an experiment, open for refactoring, destruction or re-envisioning. The process doesn’t make us special, it’s the people and the fact that we know that the process just helps keep us on the rails.