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Yuval Yeret

performance appraisals == waste? - 0 views

  • In a famous Leadership IQ study, we surveyed 48,012 CEOs, Managers & Employees about their performance appraisals. Here's the shocking results: Only 13% of Managers & Employees thought their performance appraisals were effective. And only 6% of CEOs thought their appraisals were effective. We also discovered that only 14% of employees say their performance appraisal conversation offered meaningful and relevant feedback.
  • Shocking Survey Results about Performance Appraisal
Yuval Yeret

James Shore: The Art of Agile Development: Stories - 0 views

  • "Non-Functional" Stories AllyPerformance OptimizationPerformance, scalability, and stability—so-called non-functional requirements—should be scheduled with stories too. Be sure that these stories have precise completion criteria. See Performance Optimization for more.
  • Spike Stories AllySpike SolutionsSometimes programmers won't be able to estimate a story because they don't know enough about the technology required to implement the story. In this case, create a story to research that technology. An example of a research story is "Figure out how to estimate 'Send HTML' story". Programmers will often use a spike solution (see Spike Solutions) to research the technology, so these sorts of stories are often called spike stories.
Yuval Yeret

Kanban development oversimplified: a simple explanation of how Kanban adds to the ever-... - 0 views

  • It’s a lot easier to estimate a story that’s small — which can lead to more accurate estimates, and better predictability.
  • It’s easier to plan with smaller stories. With big stories — stories that might take weeks for a developer to implement — it becomes difficult to plan a development time-box — particularly when the iterations are only a couple of weeks. It seems that only a couple stories fit — and there’s often room for half a story — but how do you build half a story? Splitting them into smaller stories makes it easier to plan those time-boxes.
  • Shrinking stories forces earlier elaboration and decision-making. Where product owners could write their stories fairly generally and consider many of the details later, now breaking them down into smaller stories forces more thinking earlier in a planning lifecycle.
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  • Managing little stories forces us to keep better track of how they fit together. Product owners are often asked to break down stories to a level where a single story becomes meaningless. To keep track of what’s meaningful to them and other stakeholders, they often need to keep track of bigger items such as the features of the product and how many stories contribute to building up that feature.
  • The result of these herniated time-box activities is a cycle that’s actually 3-4 times longer than our time-box. To get work done, we’ll use a time-box to elaborate stories, one to develop them, another to more thoroughly test them, and if there are bugs, possibly another to fix them.
  • During an ideal Agile time-box we’ll have frequent discussions between developers, testers, and those on a product owner team — like business analysts, user experience people, and business people. We’ll do this to understand what we need to build and describe what we’ll do to validate the story was really done. When time-boxes are short, there’s less time for this conversation. It’s common to move many of the conversations to detail the story and describe acceptance to the time-box before so we can be ready to really get moving with development when the time-box starts.
  • It’s difficult to fit thorough validation of the story into a short time-box as well. So, often testing slips into the time-box after. Which leaves the nasty problem of what to do with bugs� which often get piped into a subsequent time-box.
  • Anyone who’s attended an Agile planning meeting knows they can often last about an hour longer than you can stand it
  • As time-boxes shrink those on the product owner team and testers find themselves in a constant mode of getting ready for a next time-box and evaluating past time-boxes
  • work long hours, attend lots of meetings, and seem to have less time to be available to help developers with the current time-box. Since their focus is on a future or past time-box, questions about this time-box seem like interruptions. Collaboration decreases and tensions increase. Their work load is heavy, bumpy, not smooth or even.
  • Kanban cards are used to limit the amount of inventory the factory builds. It doesn’t do the Toyota factory any good to build doors faster then they can assemble cars. It just wastes money on excess doors, and parts of doors. Excess work in progress is considered to be waste in Lean manufacturing. (It’s probably waste in non-Lean manufacturing too.) In the above completely made up example, you’ll never have more than 15 finished doors hanging around. (Mudha is Japanese for waste. Learn it to impress your Lean friends.)
  • “Kan” means visual, and “ban” means card or board.
  • Kanban thinking in software development attempts to do a similar thing. We want to limit unnecessary work in progress to be no higher than it needs to be to match the throughput of the team.
  • In Kanban development: time-boxed development is out stories are larger and fewer estimation is optional or out completely velocity is replaced by cycle time
  • Exactly what’s left of Agile if we get rid of time-boxes, change the meaning of stories, and stop measuring velocity. And, exactly what do car doors and Kanban cards have to do with software development? Don’t get hung up on process. Remember, agile development isn’t a process.
  • You might have a column where business analysts spend time tracking down technical details that developers need to understand to write code.
  • These columns aren’t set. You should discuss with your team the phases that stories go through to be completed. Some organization may use columns for writing documentation, or preparing customer service people to support the feature in production.
  • The top is used for stories currently in progress in that phase. The bottom is the buffer. When work for that phase of the story is completed, it moves from “in progress” to the “buffer” where it’ll wait to be pulled into the next phase.
  • When we set limits for work in progress, we’ll set a total number for the process step that includes both “in process” and the “finished buffer” for that process step.
  • Stories must be minimal marketable features
  • To be marketable the feature needs to be large enough to be useful — probably larger than the teeny stories that take a couple days to build and seem to be best practice in Agile development today. A MMF may take weeks to build. But the important thing isn’t how long it takes to build, but that it be understandable and valuable to those who’ll receive it. To identify a MMF some folks ask the question “Would I announce it in my company’s product blog?” If it’s too tiny to mention, then it’s not a MMF.
  • To be lean, we’ll limit the number of stories we allow onto the board. A common formula is to add up all the members of the team in all roles and divide by two. All roles includes developers, analysts, user interfaced designers, testers, deployment people — anyone immediately responsible for getting features to market. For example, if team members total 20, we might limit the number of MMF-style stories on the board to 10.
  • Today developers have finished a story, and s they walk to the Kanban board to move it out of development, they notice their single buffer slot is full — and the “testing in progress” column is filled to its limit. What now? The developers talk to the testers. “We’re really struggling to keep up here. It’ll be till tomorrow morning before we can get some of these stories moved out.” “Hmm�” says a developer “Can we help test?” “Of course you can!” says the tester. “With your help we can get these cleared out by the end of the day.“ The tester grins “I just don’t want you validating a story you implemented.”
  • For the limits of the story process steps, the limit is often half the number of people that can perform the work for that phase of development. For instance if you have 6 developers, you might limit the development in progress column to 3. Now, this will force developers to work together on stories. I do find in practice that this may not work out for all teams — so I often see limits that equal the number of developers (or those that can perform the process step) or often 1.5 * the number of people in a role. Of course if you do this, it’ll raise the overall work in progress — and as you might expect, items will take longer to finish.
  • When a column in a Kanban board is full, we know that group is at capacity. We also know that if this keeps happening that that process step is likely where a bottleneck is.
  • If you’ve ever waited in line for the Pirates of the Caribbean in Disneyland you might remember signs along the way that say “Your wait time from here is 30 minutes” — something like that. Now you can post your own wait times on your Kanban board. At the bottom of your story queue post the average cycle time with wait time. It’ll say something like “Your wait time for a story here is approximately 18 days.” At the top of the queue post the average working cycle time. It might say “your wait time from here is 14 days.”
  • When you place focus on how quickly you can get functionality done, and have the ability to measure just that, then the estimates don’t much matter. In fact, many using a Kanban approach have simply stopped estimating at all. Yes story sizes vary, but being able to give a wait time plus or minus a few days is sufficient for many organizations’ concerns.
  • But, since there’s no development time-box in Kanban development, we’ll measure story-by-story how long they took to complete — the “cycle time” of the story.
  • Some do still estimate stories. Then use those estimates in conjunction with cycle time. Using a spreadsheet we can calculate the average cycle time for stories with a given estimate. If you do this, consider placing a handy chart next to your Kanban board showing estimate in one column, and wait times in adjacent columns. With this you’re answering the real question stakeholders are asking for when they get estimates: “when am I going to see this functionality in the software?”
  • If your stakeholders are like mine, they don’t want to know when they’re going to get this functionality, the want to know when they’re going to get all this functionality. I find that if I place stories into a spreadsheet with start and end dates, and calculate cycle time, if I select an arbitrary time period — say a two or three week time period — I can see how many stories where completed during this time period. For instance I might see the team finished 22 stories in 3 weeks — that’s about 7.3 stories per week. Given a backlog of 100 stories I can reasonably infer that it’ll take between 13 and 14 weeks (100/7.3). That’s yesterday’s weather for Kanban — at least the way I calculate it.
  • If I know that during three week time period there where 15 working days and that 5 developers worked the entire time, that’s 75 developer days. Knowing that lets me calculate the average number of developer days per story: 3.4 (75/22) — Which is darn close to pi — which makes me believe it has to be right. ;-) This number, 3.4, is what XP practitioners referred to as load factor.
  • Evaluation cycles, not development time-boxes
  • The only difference is the cycles aren’t used to plan and commit to stories any longer.
  • The daily standup or daily scrum meeting occurs as normal, but now it occurs in front of the Kanban board. Instead of the regular meeting ritual of checking in with each person to find out what they worked on yesterday and will work on today, the discussion revolves around the Kanban board and what will likely move on and off the board today, where “traffic” seems the heaviest, and what we could do to clear bottlenecks.
  • Reflect every few weeks
  • Lean practices help teams increase throughput. They don’t make developers type faster, rather they draw attention to bottlenecks that slow things down, help you see them and respond to them quicker. Using a Kanban board lets you easily visualize work in progress across different roles and lets you see when someone is taking on too much work simultaneously.
  • Demonstrate every few weeks
  • A task board as it’s commonly used in an agile approach can give you the visualization too. But, widening the task board to separate testing from development from acceptance or other process steps helps me better visualize where things are clogging up — helps me better diagnose problems. And, setting hard limits for process steps and respecting them really makes me deal with the problem in a way that dropping a pile of stories into a sprint or iteration didn’t. But, maybe it’s just me who’s lazy and avoids dealing with tough problems. I’m sure you’d never run into a situation where you and your team let lots of finished development work pile up waiting to be tested.
  • There’s no one as zealous as the newly converted There’s a lot of folks pretty excited about Kanban out there. I am too. Sometimes that zeal takes the form of telling people practicing common agile time-boxed development that they’re wrong. But, I guess I’m crusty enough to know that there’s lots of right ways to succeed and anyone who believes they’ve found the best ways is likely wrong. Don’t let those voicing opinions strongly for, or against, Kanban approaches stop you for digging in deeper and understanding the ideas behind it.
  •  
    one of the best articles about Kanban and its relation to Agile I've encountered so far - focusing on Feature development (not maintenance)
Yuval Yeret

Agile PMO Role - 0 views

  • Institute an agile transition team, and have the agile PMO play a significant role on that team. If you are starting on the journey, establishing an agile transition team can be a critical factor in your success. The agile transition team plans and implements the strategy for the organization’s agile transition (using a backlog, iterations, planning meetings, retrospectives and, in general, responding to change) This group monitors and communicates results throughout the organization, and is responsible for removing organizational level impediments. The PMO representative can act as ScrumMaster for the agile transition team. Members should be leaders representing different departments and functions that are impacted by the agile transition. For example, having leaders from development, QA, product development and the PMO is an excellent practice.
  • Establish a “Meta Scrum” that is tasked with mapping projects and features to corporate strategy. As part of optimizing the whole, it is important for there to be a big picture view across products and features. In general, product managers are tasked with defining, prioritizing and communicating the vision and features for their products. When you have a program that encompasses multiple products with multiple product owners and project teams, keeping everything in line with the corporate vision can sometimes be overlooked.   Unlike the Scrum of Scrums--which is tactical, i.e. focused on execution--the Meta Scrum is focused on the strategic planning and decisions guiding the program or programs as a whole. Establishing a Meta Scrum with the PMO representative acting as ScrumMaster to plan and facilitate meetings (as well as reporting and tracking decisions and action items) can add significant value in having a program able to rapidly respond to change while staying true to the corporate strategy and objectives.
  • I like using story points to establish the velocity of individual teams. From a program point of view, however, story points are difficult to use across multiple teams. The nut there is that one team’s story point is not equivalent to another team’s story point. To crack that nut, I use agileEVM to “normalize” to standard project management metrics like the Cost Performance Index and the Schedule Performance Index, as well as the Estimate At Complete in integrated dollars. These metrics can be aggregated across teams to establish progress against the plan for the entire program.
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  • Establish an agile CoachingCenter. It is important from an organizational perspective to continue to provide coaching and training to agile teams. Team development and facilitation needs continue after the initial shift to agile methods is completed. In addition, new team members are hired, new practices discovered and implemented. Establishing an agile coaching center of excellence can meet this need.   In order to be successful, the center needs to be a legitimate organization with an assigned budget, staff and objectives. The center can be a located within the agile PMO. The center can develop and manage a central agile library, produce various lunch ‘n’ learns and other programs to infuse agile values and knowledge across the organization, and provide proficient, independent facilitators to teams for various retrospectives and other needs. In addition, the center can help the team gather metrics on their agility and health so that the team can take action if the decide to.
Yuval Yeret

http://studios.thoughtworks.com/2007/5/10/continuous-integration-in-the-enterprise-with... - 0 views

  • One of the developers had checked in some code that failed the regression tests. The application, on which the company had spent considerable time, money and effort, was now in an uncertain state. It wasn't behaving as expected. In the past, this type of bug usually wasn't discovered for months. Usually, it wasn't discovered until the System Integration Testing cycle got underway. For this project, that wasn't scheduled for another 6 months.
  • In the past, this bug would have lingered in the code for 6 months before anyone even realized it was a problem
  • . The light had gone off only 6 minutes after the code had been committed. Notice: not 6 months...but 6 minutes!
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  • I told them I just saved them $12,535! They looked around to figure out how. The reason I was there was simple. Earlier that year, those same IT managers had performed a series of calculations to estimate how much it cost the department each time a bug made its way out of development, into SIT, into User Acceptance Testing, or all the way into production. For this IT shop, one bug into SIT cost them $12,605 (and you can imagine how much a bug into production would cost.)
Yuval Yeret

How Google Sold Its Engineers on Management - 0 views

  • A good manager: 1. Is a good coach 2. Empowers the team and does not micromanage (See the sidebar “How Google Defines One Key Behavior”) 3. Expresses interest in and concern for team members’ success and personal well-being 4. Is productive and results-oriented 5. Is a good communicator—listens and shares information 6. Helps with career development 7. Has a clear vision and strategy for the team 8. Has key technical skills that help him or her advise the team
  • Employees with high-scoring bosses consistently reported greater satisfaction in multiple areas, including innovation, work-life balance, and career development
  • high-scoring managers saw less turnover on their teams than the others did—and retention was related more strongly to manager quality than to seniority, performance, tenure, or promotions
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  • The key behaviors primarily describe leaders of small and medium-sized groups and teams and are especially relevant to first- and second-level managers. They involve developing and motivating direct reports, as well as communicating strategy and eliminating roadblocks—all vital activities that people tend to overlook in the press of their day-to-day responsibilities.
Yuval Yeret

Social, Agile, and Transformation: The ScrumMaster - A role or responsibility? - 0 views

  • So if they needed the ScrumMaster role filled, then this was something they were prepared to train and assign to either a project manager or possibly a technical lead. The consensus of this team was, if you found a project manager skilled enough to have a real technical dialog with the development team, then this person could be trained and perform the ScrumMaster role.
  • The Scrum Alliance published a survey that has some supporting evidence. Over 60% of the 1100 people that responded to the survey had nine or more years of industry experience, 15% of them had twenty or more years of experience, and 35% had Masters degrees. Also, of the people who responded, 22% were project managers and another 21% were either Managers or Directors. So my simple translation is that practicing ScrumMasters are managers (project or other) with significant (10+) years of proven experience. Training and assigning this role to experienced project managers or software development managers seems like a viable approach to have the responsibility filled and having a dedicated ScrumMaster separate from these roles may not be necessary.
Yuval Yeret

InfoQ: Opinion: Agile Coaches Frequently a Source of Adoption Problems - 0 views

  • Coaches help teams learn Agile practices get from 'Agile seems to be something we should do' to 'we are practicing Agile development and succeeding by regularly delivering business value'.
  • ncreasingly there are reports of initial success followed by failures with Agile adoption.
  • I believe that there is a problem to how current Agile coaches - especially external ones (such as the author) - have traditionally performed their jobs. In fact, I think we are part of the problem
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  • We do a very good job - in general - teaching the skills. That is, teaching the team to run an iteration with a kickoff, demo and retrospective. Teaching test driven development. Some of us even do a very good job teaching the team to be pseudo-self-organizing by taking a socratic approach to coaching and standing back and letting the teams make their own mistakes and learn from them.
  • We even do a good job - in many ways - teaching the team the values of Agile development. If we are there long enough, the values come from diligent and disciplined application of the practices.
Yuval Yeret

James Shore: The Art of Agile Development: Spike Solutions - 0 views

  • About Spikes A spike solution, or spike, is a technical investigation. It's a small experiment to research the answer to a problem. For example, a programmer might not know whether Java throws an exception on arithmetic overflow. A quick ten-minute spike will answer the question.
  • Performing the Experiment The best way to implement a spike is usually to create a small program or test that demonstrates the feature in question. You can read as many books and tutorials as you like, but it's my experience that nothing helps me understand a problem more than writing working code. It's important to work from a practical point of view, not just a theoretical one.
  • Writing code, however, often takes longer than reading a tutorial. Reduce that time by writing small, standalone programs.
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  • Design Spikes Sometimes you'll need to test some approach to your production code. Perhaps you want to see how a design possibility will work in practice, or you need to see how a persistence framework will work on your production code. In this case, go ahead and work on production code. Be sure to check in your latest changes before you start the spike and be careful not to check any of your spike code.
  • If you anticipate the need for a spike when estimating a story, include the time in your story estimate. Sometimes, you won't be able to estimate a story at all until you've done your research; in this case, create a spike story and estimate that instead
Yuval Yeret

Original Scrum-ban Article by Corey Ladas | Lean Software Engineering - 1 views

  • A problem with the basic index-card task board is that there is nothing to prevent you from accumulating a big pile of work in process. Time-boxing, by its nature, sets a bound on how much WIP that can be, but it can still allow much more than would be desirable.
  • then you need another mechanism to regulate the “money supply.” In our case, we simply write the quantity of kanban in circulation on the task board, and allocate new cards according to that limit.
  • You might have a simple principle like: prefer completing work to starting new work, or you might express that as a rule that says: try to work on only one item at a time, but if you are blocked, then you can work on a second item, but no more. In our example, that rule gives us an effective WIP limit of 6.
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  • Just because anybody can have more than one item in process doesn’t mean that everybody should have more than one item in process. A problem with our multitasking rule is that it locally optimizes with no consideration of the whole. An implicit total WIP limit of 6 is still more WIP than we should probably tolerate for our three workers. A limit of 4 of 5 total items in process at one time still allows for some multitasking exceptions, but disallows the obviously dysfunctional behavior of everybody carrying two items
  • The ready queue contains items that are pending from the backlog, but have high priority
  • Here we’ve broken down in-process into two states: specify and execute. Specify is about defining whatever criteria are necessary to determine when the work item can be considered complete. Execute is about doing the work necessary to bring that work item into a state which satisfies those criteria. We have split our previous WIP limit of 5 across these two states. Specify is considered to take less time in this case, so it is given a limit of 2. Execute consumes the remaining limit of 3. We might change this ratio as time goes on and our performance changes.
  • Adding the specify-complete column communicates to the team that a work item which was previously in the specify state is now ready to be pulled by anyone who wants to move it to the execute state. Work that is still in the specify state is not eligible to be pulled yet. If the owner of a ticket in the specify state wants to hand it off, he can put it in the complete buffer. If he doesn’t want to hand it off, he can move it directly into the execute state as long as capacity is available.
  • e will also need some agreement about what results to expect at each handoff. We can do that by defining some simple work standards or standard procedures for each state. These do not have to be complicated or exhaustive. Here, they are simple bullets or checklists drawn directly on the task board.
  • The next event we might consider for scheduling planning activities is the concept of an order point. An order point is an inventory level that triggers a process to order new materials. As we pull items from the backlog into the process, the backlog will diminish until the number of items remaining drops below the order point. When this happens, a notice goes out to the responsible parties to organize the next planning meeting. If our current backlog is 10, our throughput is 1/day, and we set an order point at 5, then this planning will happen about once a week.
Yuval Yeret

The Product Owner in the Agile Enterprise - 0 views

  • Responsibilities Vary by Software Business TypeSince the business mission, organization, operating methods, roles, titles and responsibilities differ dramatically across industry segments, it follows that the patterns of agile adoption vary across these segments as well
  • Information Systems/Information Technology (IS/IT) -teams of teams who develop software to operate the business; accounting, CRM, internal networks, sales force automation and the like. Customers are primarily internal to the enterprise.
  • Embedded Systems (embedded) - teams of teams who develop software that runs on computers embedded in other devices - cell phones, electronic braking systems, industrial controls and the like. Customers may be either internal or external to the enterprise.
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  • Independent Software Vendors (ISV) -teams of teams who develop software for sale, including products like network management, supply chain management, mobile applications, etc. This segment now also includes the rapidly emerging Software as a Service (SaaS) vendors. Customers are external to the enterprise.
  • So far, former developers/tech leads with business sense and good project management skills seem to be the best fit.
  • ultimate user (mobile device user) is fairly far removed from the major technologies
  • Ryan went on to note that the title of "Program Manager" also performed a similar role in some larger scale contexts:
  • Embedded Systems Example - Symbian Software Limited
  • Clearly, the development of a mobile phone operating system is a highly technical endeavor
  • mention this because I suspect that the Technical Marketing Specialist role, where it exists in the ISV today, could make a good role model for the Agile Product Owner in today's larger ISV
  • the development process does not lend itself quite so easily to the traditional, customer/user facing, agile Product Manager/Product Owner roles. However, the Product Owner role must still be successfully addressed in this highly technical context.
  • All our POs come from engineering teams and are senior engineers with product or customer experience.
  • one PO to two team mapping typically, rarely 3 teams, sometimes 1
  • IS/IT Examples
  • role/title of the Business Systems Analyst
  • is often a reasonably good fit for the Product Owner role.
  • In the larger IT shop, I have also seen the role filled by Project Managers
  • In many cases, the self-managing and team-based planning lightens the workload for the project manager in the agile enterprise, and they often have the domain knowledge, inclination and insights necessary to fulfill the Product Owner role. Therefore, many have the time, skills and inclination to fill this role.
  • In our case, our product owners are in IT. They are the liaison to the business and in many cases speak for the business
  • Our Business Systems Analysts in IT are filling the role of Product Owner. Their previous responsibility of documenting detailed business requirements and rules now falls to the entire team in the form of user stories and acceptance tests
Yuval Yeret

Creating an Agile Culture to Drive Organizational Change - 1 views

  • It is critical that everyone has the same understanding of, and commitment to, the desired outcome: a business that is reliable through predictable technology processes that deliver business agility. To do this, there needs to be a management commitment to develop a focused, on-going practice around the pursuit of organizational maturity. As part of this, gaps in skills and capabilities should be identified and positive action – training, coaching, process improvement and tools deployment – taken in order to close the gap
  • the work force needs to understand the business drivers for Agility. They need to be challenged to improve their quality, improve their cycle times, to improve the frequency of releases and the value they deliver to the customer. They need to know how these things fit within the bigger picture and why improvement is their responsibility.
  • To change a culture it's important to recognize that every knowledge worker makes decisions and takes actions that affect the performance of the business. The culture in the organization is the reflection of those decisions and actions.
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  • all the people understand and internalize the concepts and ideals behind the Agile movement
  • translated into concepts that can be widely applied to the many day-to-day decisions each of them will make
  • internalize and live three principles: making progress with imperfect information; existing in a high trust, high social capital culture; and shortening cycle times. These ideas need to be infused into the workforce at every opportunity.
  • it should spread virally. It can start with just one manager, who educates his immediate direct reports on the concepts and then takes the time to reflect and show how each decision is aligned the principles
  • work-in-progress as a liability rather than an asset.
  • Delivering quickly can provide immediate value while delay can result in obviated functionality of little value or missing a more lucrative opportunity while completing existing work-in-progress
  • The Agile Decision Filter
  • . Every member of the team should be educated to understand it, and to be capable of demonstrating how their decisions and actions are concomitant with it. The Decision Filter is
  • Are we making progress with imperfect information? Or are we trying to be perfect before we start? Does this decision add or maintain trust in our organization and with our partners? Or does it remove trust and breed fear? Are we treating work-in-progress as it if were a liability? Or are we treating it like an asset?
  • the team can start to modify their practices one decision at a time and drive towards a goal of business agility
  • The "transition" to Agile will happen slowly, and supporting the change will require training, coaching and tools – but change will be real and long-lasting.
  • By changing your culture using the simple principles captured in The Agile Decision Filter, teams will adopt Agile. Give it a little time and magic will happen. They will voluntarily change their behaviors and adopt Agile practices. They will behave in a fashion aligned with the principles and values behind The Agile Manifesto. They will not resist because they had a say in the changes, which are tailored specifically to their environment and their needs.
  • this approach may seem less prescriptive and straightforward than an "Agile Change Initiative" project plan. And yes, taking on a management-led Agile Transition Initiative looks faster and cheaper,
  • However, it is all wishful thinking, and the only way to get the payoff is to invest the time and show the courage to lead true Agile change. True Agile change requires you to change the culture. To change the culture, teach all your people how to use the Agile Decision Filter and hold them accountable for every decision they make.
Yuval Yeret

How Is Kanban Different From Other Approaches? « AvailAgility - 1 views

  • Scrum places more emphasis on the project management practices. Kanban, places its emphasis on business and value flow practices.
  • its all the same elephant, but each approach has a different view of it. At the end of the day, its having the most appropriate elephant for any given context that is most important.
  • Kanban can be differentiated by identifying its Primary and Corollary Practices.
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  • Map the Value Stream
  • Visualise the Work.
  • Limit Work in Progress.
  • A Kanban approach will explicitly limit work in progress. This is distinct from managing work in progress through the use if time-boxes
  • Establish a Cadence.
  • A Kanban team will almost certainly use Corollary Practices which may be considered Primary in another process. For example, a high performance Kanban team will inevitably use technical practices from XP, such as TDD and Continuous Integration.
Yuval Yeret

Permanent Link to Feature Flow - Increasing velocity using Kanban - 1 views

  • team that had some problems getting their process right
  • their velocity was decreasing and spirits were low. Luckily we managed to change our process by changing some basic Scrum practices and replacing some of them with Lean practices, inspired by the new Kanban articles and presentations. Productivity is now higher than ever and we can now focus on what really matters: product quality and customer satisfaction.
  • one major issue: getting things done. The major symptom was the frustration of management and the team with the project. The first 3-week time box (sprint) ending with about 30% (!) of all features still in progress, when, of course, they should all have been done and ready for shipment.
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  • existing solution to this problem was to lower the expected velocity each sprint, so the next sprint would be on-time. But at the end of next sprint, the same problem occurred, so the velocity was going down sprint after sprint.
  • pressure of the rest of the organisation for the team to keep up their tempo. This pressure from both sides was crushing morale.
  • The way this team reacted to pressure was to work harder. Most people would have 2 or 3 tasks in progress at the same time. When a developer would finish a task, the testers were too busy testing something else, so they could give the developer direct feedback. When the tester found an issue with a new feature, the developers were already working on something else, so the tester had to wait. Simply put, there was too much focus on working long and hard, not on cooperation and the stuff that actually matters: features.
  • most dysfunctional behaviour comes from the system people are in
  • biggest struggle of this team: pressure & predictability.
  • Most Scrum masters challenge the team to reach the same (or higher) velocity each sprint. This pressure should give a team focus to perform at its best. However, it can also go haywire if the team doesn't deliver. No focus, no pride, no happy customer
  • retrospectives were dismal and planning meetings were a huge burden. The teams' productivity dropped in the days after the sprint, finding new courage to start the next one. Because they had an ineffective work-process, the only outcome of each sprint was to lower the expected velocity, to make sure we would be predictable. Estimation and predictability are only a means to an end and since they were getting in the way of fixing the root cause (and were bringing down the team's spirit) I opted to cut out the planning sessions and sprint deadlines.
  • first change we made was to set a limit of 8 tasks on the 'in progress' column
  • We spent 3 weeks bringing the numbers of open tasks from 21 to 8, without picking up any new work. Of course the team struggled with this new limit. They were used to pick up new work whenever they were blocked somehow, this wasn't allowed any more
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