1. A technique for agile estimation Francy Rodríguez Javier Diez

2. Outline  Estimation  Agile estimation  Planning Poker Preparing the meeting The meeting Variations Example Advantages and disadvantages

3. Estimation (I)  Estimation is one of the harder parts of a software project.  Some data: Nearly ⅔ of projects significantly overrun their cost estimates. 64% of the features included in products are rarely or never used. The average project exceeds its schedule by 100%.

4. Estimation (II)

5. Agile estimation  2 levels of estimation: Version estimation Iteration estimation  Focused in features and not in activities.  Everybody in the team helps in estimating.  Estimations tend to be in the left side of the graph we have just seen.

6. Planning Poker  The best way I’ve found for agile teams to estimate is by playing planning poker (Grenning 2002)  This method tries to make the meetings more short and productive, by making them more fun and dynamic.

7. Preparing the meeting (I)  The “requirements experts” must know perfectly each of the user stories.  Each user story should have a granularity of no more than 10 days of job.  A deck of cards is prepared for each member of the team.  The deck is composed of a few cards, each of them representing a estimation.

8. Preparing the meeting (II)  Examples of estimation values for the cards: 0, 1, 2, 3, 5, 8, 13, 20, 40, 100. 1, 2, 3, 5, 8, 13, BIG. ½, 1, 2, 3, 4, 5, 6, 7, ∞

9. The meeting (I) 1. A deck is given to each of the members. 2. The moderator exposes a user story in no more than 2 minutes. 3. Time for questions about the user story. 4. Each of the members choose a card privately. 5. Once everybody has chosen, all the cards are turned over at the same time. 6. In this first round, it’s probably that the estimations will differ significantly.

10. The meeting (II) 7. In case the estimations differ, the high and low estimators expose their reasons. 8. A few minutes for the team to discuss about the story and the estimation. 9. Again, each member thinks privately a estimation, and they show the cards simultaneously. 10. If the estimations still differ, the same process can be repeated.

11. The meeting (III) 11. When the estimations converge, the process finishes and the next user story is estimated. 12. In case the estimations don’t converge by the 3 rd round, there are some options: Left the user story apart and try again later. Ask the user to decompose the story in smaller parts. Take the highest, lowest or average estimation.

12. Variations  Of course, it’s an open method.  There are some variations that can be applied: Use 2 cards instead of 1. Ask any member about his estimation, not necessarily the highest and lowest. Use more or less rounds. …

13. Example (I)  User story: PCGEEK wants to be able to create sell orders.  Team of 7 members.  First round:

14. Example (II)  3 rd and 6 th members expose their reasons for their estimations.  2 nd round:

15. Example (III)  All members have converged except for the 3 rd  A new round of expositions and voting can be made.  It’s also possible to take 3 or 5 as the estimation.

16. Advantages  Multiple expert opinions.  The dialogue between the members result in more accurate estimations.  Studies have shown that averaging estimations and group discussion lead to better results.  It’s fun!

17. Disadvantages  Meetings with all the team are expensive.  The moderator needs to be careful and control the meeting so it doesn’t get too long.  Some factors can interfere in the estimations: dominant personalities, company politics…  Discussions can end in polarized estimations.

18. Thank you!