Free Agile Estimating Cards My T-shirt agile estimating cards have been very popular, but the price can quickly add up if ordering ten or more packs. So, I’ve created a pdf document of my T-shirt cards which allows you to build them yourself (with access to a printer and a pair of scissors). The document is arranged for US Letter but it still prints out perfectly fine on A4 I know this, because that’s exactly what I do. I’ve written a short introduction explaining the origins of Estimating Poker, how to use the cards, and some common variations that teams will often adopt. Here’s an excerpt of the introduction. “Estimating poker is a technique often used by Agile and Scrum teams to estimate work.
Estimating poker formalises the process of collaborative estimating which teams will tend to (or should) do regularly. Estimating poker is a variant of Wide Band Delphi, an estimating approach described by Barry Boehm in his book ‘Software engineering economics” (1981). The Delphi technique originated from the Rand group during the 1950’s.
The Delphi method states “Have a group of subject matter experts independently estimate a given problem. Bring the experts together to discuss their results, and differences.
Have them go away and then independently re-estimate the problem. Repeat this process until agreement is reached or you are satisfied with the result” In Scrum, this simple approach is applied on a wide band scale. Download lagu yui full album rar. The modern roots for planning poker come from James Grenning’s description of it in his paper, “”.
Agile Planning Poker Cards Pdf
Planning Poker is an agile estimating technique which has become very popular in the last few years. It is based on an estimation technique known as Wideband Delphi which was created by the RAND Corporation either in the 1940s or 1968 depending upon which sources you find credible. The technique was refined by James Grenning in 2002.
It was made much more popular when it was included in Mike Cohn’s book “Agile Estimating and Planning.” Although the basics of the technique have been around for many years the refinements by Grenning made it usable by agile teams and they have taken full advantage. Planning Poker is extremely simple to play while also being accurate enough to use for agile planning. The basic rules are as follows:. Each participant gets a deck of estimation cards representing a sequence of numbers. The most popular sequences involve doubling each card (0, ½, 1, 2, 4, 8, 16, etc.) or the Fibonacci sequence (1, 2, 3, 5, 8, 13, 21, etc.). The Fibonacci sequence is generally more popular.
![Planning poker cards printable Planning poker cards printable](/uploads/1/2/3/7/123735670/500936254.jpg)
The moderator presents one user story at a time to the team. The Product Owner (or equivalent role) answers any questions the team might have about the story. Each participant privately selects a card representing his or her estimate of the “size” for the user story. Usually size represents a value taking into account time, risk, complexity and any other relevant factors. When everybody is ready with an estimate, all cards are presented simultaneously. If there is consensus on a particular number then the size is recorded and the team moves to the next story.
Agile Fibonacci Cards
In the (very likely) event that the estimates differ, the high and low estimators defend their estimates to the rest of the team. The group briefly debates the arguments. A new round of estimation is made (steps 4 and 5 above). Continue until consensus has been reached and the moderator records the estimate. Repeat for all stories. People who promote the use of Planning Poker understand some of the main reasons why it is successful.
People like Mike Cohn have been very instrumental in pushing planning poker and even created www.planningpoker.com for people to be able to play planning poker with distributed teams. There are very good reasons why most agile trainers and coaches (myself included) promote its use. My personal top 3 reasons planning poker is great are (all of these assume the team is using planning poker appropriately):.
Fosters collaboration by engaging entire team. Creates consensus estimate rather than having a single person driving the estimate. Exposes issues early through discussion of each user story All of those are great reasons to use planning poker, but there are also some ways to help make it work even better. The three items listed above are all very obvious if you watch successful teams using planning poker. But there are small things most people miss which can be done to improve the process. Knowing of those things allows successful coaches to help teams get even better.
The beauty of it is you don’t have to be a coach, just someone the team trusts, to help the team get better. So what are these nuggets of wisdom? Those who actually could do the work are the ones that vote. Too often agile teams have everyone vote even if they have no idea about the work involved in the story.
Managers don’t vote. Managers are usually incented to have the work take less time, so they often skew the vote too low. However, managers have more experience than the average team member, so I usually give them veto power over the team consensus in one specific circumstance – they can ask the team if they have considered something which may INCREASE the size. They are never allowed to try to get the team to decrease the size.
Their opinion carries too much weight and acts as an anchor to the size, dragging it down in direct propoportion to how vigorously they defend their position. When there is a tie in the voting between two sizes which are consecutive, just pick the larger size and move on. Remember, consecutive sizes might be 5 and 8 if you are using the Fibonacci sequence for sizing (1, 2, 3, 5, 8, 13). No one should complain about using the higher number and an equal split usually takes a long time to resolve.
![Planning Poker Cards Pdf Planning Poker Cards Pdf](/uploads/1/2/3/7/123735670/413217491.jpg)
It also usually resolves to the higher number, at least in my experience, so let’s use those facts to our advantage and move on. Stop implementation discussions before they go too deep. Teams commonly drive down to the technical details when they are discussing a user story. This is fine to a certain extent, but it should be severely limited. No more than a one minute discussion.
The people doing the sizing should determine in their mind the simplest possible solution and pick a size based on that scenario. It seems like more discussion will make the size more accurate, but in reality this just isn’t true. The scale is not very granular so there is a distinct lack of precision. This is done partially to encourage teams to just make their best guess and move on. Use an “I need a break” card.
Too often teams will be working hard playing planning poker and not realize some people on the team need a break. Having the “I need a break” card allows someone to draw everyone’s attention to this. Use a timer of some sort to limit discussion. This is self-explanatory. Army drivers license program. I usually like to limit discussions to no more than one minute. If consensus cannot be reached by the end of the third round of voting pick the largest size and move on. After two rounds of discussion further discussion usually does not yield great results for the time invested.
By choosing the largest size the team has a chance to improve upon it, but they will not be in any danger of not having enough time. Not having enough time is a major problem the team is trying to avoid, so this particular short cut should not cause major issues. Have the person creating the user stories meet with QA and Development leads prior to playing planning poker to make sure the user stories have answers to the most obvious questions the team will ask. This allows the team to focus on the size, not spend time gathering information.
![Agile scrum cards Agile scrum cards](/uploads/1/2/3/7/123735670/126874286.jpg)
Remember the baseline. Whatever the team picks as a baseline needs to be consistent from iteration to iteration.
If an ideal day is a size 1 then all iterations need to use that reference point. If a particular user story is a size 1 or a size 3 then that needs to remain consistent across iterations. It can sometimes be helpful after a few stories have been sized to bring up the baseline and ask the team if they agree the sizes are truly relative to the baseline. Failure to do this could lead to what I’ll call “size creep” over time. In other words the team slowly changes their baseline mentally to be either larger or smaller than it truly is. This usually shows up as the team not being able to meet their commitment for several iterations even though everything looks more or less the same.
Playing planning poker should be a fun, collaborative exercise. Too many teams try to grind it out for an hour or two and forget to enjoy their work. There are many ways fun can be injected into the process. One I particularly like is to play real poker with the sizes.
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Every sized story counts as a poker card and every five stories makes a poker hand. Prior to starting everyone tries to pick which hand will be the best poker hand (i.e.
Planning Poker Cards Printable
Pick hand 1, hand 2, hand 3, etc.). This encourages them to look at the user stories ahead of time so they can try to make a good guess about which set of 5 will make a straight or 4 of a kind. Winners can even get a small prize. Give Planning Poker along with these tips a try and see if they help your team.
I've wanted to update the design of our Planning Poker cards for quite awhile, and we finally got the chance. The new cards feature an all-new back design to go along with the same faces we've used for years. There are 56 cards in the deck.
Thirteen estimating numbers are provided in four colors, each with a matching back as shown above. Additional cards include instructions on how to estimate with Planning Poker and feature full-color photos of goats on the back. The cards are still the same high quality we've always provided. Our cards are manufactured by the same company that provides cards for Caesar's Palace and other leading casinos. The cards come boxed as before although we've updated the art on the box cover-check out the leap of that goat! We will continue to sell our branded cards (like these) at our cost of $2.50 per deck. We also have unbranded cards for sale if you don't want to see any goats anywhere.
And we will continue to sell cards with the traditional goat photo backs as long as our inventory lasts. Let me know what you think of the new design in the comments below. About the Author Mike Cohn specializes in helping companies adopt and improve their use of agile processes and techniques to build extremely high-performance teams. He is the author of User Stories Applied for Agile Software Development, Agile Estimating and Planning, and Succeeding with Agile as well as the video course. Mike is a founding member of the Agile Alliance and Scrum Alliance and can be reached. If you want to succeed with agile, you can also have Mike email you a short tip each week.