Planning Poker Benefits

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Planning Poker Benefits
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Proponents of Planning Poker claim that the method has the benefits of multi-perspective effort forecasting, promoting group interaction and participation, while avoiding the risk of the 'anchoring' cognitive bias, leading to accurate effort forecasting without unrealistic precision. Jul 18, 2017 Planning Poker Planning Poker is a consensus-based, collaborative estimating approach. It starts when a product owner or key stakeholder reads to the team an item to be estimated. Team members are then encouraged to ask questions and discuss the item so they understand the work being estimated. Planning Poker® is Meant to Encourage Conversation and Shared Understanding. One of the main benefits of Planning Poker® is to enable members of the team that may have different skillsets to provide their perspective on the complexity of a particular story and identify gaps in understanding within the team. If someone points a story as a 1.

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Planning Poker Estimation

Planning Poker is a consensus-based technique for estimating, mostly used to estimate effort or relative size of user stories in Scrum.

Planning Poker combines three estimation techniques − Wideband Delphi Technique, Analogous Estimation, and Estimation using WBS. Is fan tan casino really.

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Planning Poker was first defined and named by James Grenning in 2002 and later popularized by Mike Cohn in his book 'Agile Estimating and Planning', whose company trade marked the term.

Planning Poker Estimation Technique

In Planning Poker Estimation Technique, estimates for the user stories are derived by playing planning poker. The entire Scrum team is involved and it results in quick but reliable estimates.

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  • Estimation Techniques Resources

Cached

Proponents of Planning Poker claim that the method has the benefits of multi-perspective effort forecasting, promoting group interaction and participation, while avoiding the risk of the 'anchoring' cognitive bias, leading to accurate effort forecasting without unrealistic precision. Jul 18, 2017 Planning Poker Planning Poker is a consensus-based, collaborative estimating approach. It starts when a product owner or key stakeholder reads to the team an item to be estimated. Team members are then encouraged to ask questions and discuss the item so they understand the work being estimated. Planning Poker® is Meant to Encourage Conversation and Shared Understanding. One of the main benefits of Planning Poker® is to enable members of the team that may have different skillsets to provide their perspective on the complexity of a particular story and identify gaps in understanding within the team. If someone points a story as a 1.

  • Selected Reading

Planning Poker Estimation

Planning Poker is a consensus-based technique for estimating, mostly used to estimate effort or relative size of user stories in Scrum.

Planning Poker combines three estimation techniques − Wideband Delphi Technique, Analogous Estimation, and Estimation using WBS. Is fan tan casino really.

See Full List On Tutorialspoint.com

Planning Poker was first defined and named by James Grenning in 2002 and later popularized by Mike Cohn in his book 'Agile Estimating and Planning', whose company trade marked the term.

Planning Poker Estimation Technique

In Planning Poker Estimation Technique, estimates for the user stories are derived by playing planning poker. The entire Scrum team is involved and it results in quick but reliable estimates.

  • Planning Poker is played with a deck of cards. As Fibonacci sequence is used, the cards have numbers - 1, 2, 3, 5, 8, 13, 21, 34, etc. These numbers represent the 'Story Points'. Each estimator has a deck of cards. The numbers on the cards should be large enough to be visible to all the team members, when one of the team members holds up a card.

  • One of the team members is selected as the Moderator. The moderator reads the description of the user story for which estimation is being made. If the estimators have any questions, product owner answers them.

  • Each estimator privately selects a card representing his or her estimate. Cards are not shown until all the estimators have made a selection. At that time, all cards are simultaneously turned over and held up so that all team members can see each estimate.

  • In the first round, it is very likely that the estimations vary. The high and low estimators explain the reason for their estimates. Care should be taken that all the discussions are meant for understanding only and nothing is to be taken personally. The moderator has to ensure the same.

  • The team can discuss the story and their estimates for a few more minutes.

  • The moderator can take notes on the discussion that will be helpful when the specific story is developed. After the discussion, each estimator re-estimates by again selecting a card. Cards are once again kept private until everyone has estimated, at which point they are turned over at the same time.

Repeat the process till the estimates converge to a single estimate that can be used for the story. The number of rounds of estimation may vary from one user story to another.

Benefits of Planning Poker Estimation

Planning poker combines three methods of estimation −

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Expert Opinion − In expert opinion-based estimation approach, an expert is asked how long something will take or how big it will be. The expert provides an estimate relying on his or her experience or intuition or gut feel. Expert Opinion Estimation usually doesn't take much time and is more accurate compared to some of the analytical methods.

Analogy − Analogy estimation uses comparison of user stories. The user story under estimation is compared with similar user stories implemented earlier, giving accurate results as the estimation is based on proven data.

Disaggregation − Disaggregation estimation is done by splitting a user story into smaller, easier-to-estimate user stories. The user stories to be included in a sprint are normally in the range of two to five days to develop. Hence, the user stories that possibly take longer duration need to be split into smaller use-Cases. This approach also ensures that there would be many stories that are comparable.





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