6. POA Techniques
6.5 Decision Modelling and Analysis
Guide to Product Ownership Analysis
Purpose
Decision modelling shows how repeatable business decisions are made.
Decision analysis formally assesses a problem and possible decisions to determine the value of alternate outcomes under conditions of uncertainty.
See section 10.16 and 10.17 of BABOK® Guide v3.
See section 3.8 of the Guide to Business Data Analytics.
Decision analysis formally assesses a problem and possible decisions to determine the value of alternate outcomes under conditions of uncertainty.
See section 10.16 and 10.17 of BABOK® Guide v3.
See section 3.8 of the Guide to Business Data Analytics.
In the context of product ownership analysis, product decisions are made with uncertainty on how the product will be received by customers. Three types of critical product decisions can be characterized, with decisions relating to the:
Product Features: This type of decision relates to the actual features of the product, which are the synthesis of different ideas, feature requests, and business considerations that cohesively address identified customer needs. Practitioners can use solution assessment and validation approaches to determine the benefits of each feature.
Feature Priority and Timing: This type of decision requires practitioners to decide on the order in which the features will be released to customers so that the product can generate maximum value or impact. Practitioners can use several of the prioritization techniques, as well as the value matrix, to make informed decisions.
A decision framework may be necessary, depending on the complexity and organizational processes, and may require standardization of repeatable product decisions. For example,
- Product strategy,
- Selected product features, and
- Timing of product features.
- What are the customer needs that can be pursued?
- What is the target market?
- What are the overarching goals?
- What are the Key Result Areas (KRAs) and Key Performance Indicators (KPIs) for the product?
Product Features: This type of decision relates to the actual features of the product, which are the synthesis of different ideas, feature requests, and business considerations that cohesively address identified customer needs. Practitioners can use solution assessment and validation approaches to determine the benefits of each feature.
Feature Priority and Timing: This type of decision requires practitioners to decide on the order in which the features will be released to customers so that the product can generate maximum value or impact. Practitioners can use several of the prioritization techniques, as well as the value matrix, to make informed decisions.
A decision framework may be necessary, depending on the complexity and organizational processes, and may require standardization of repeatable product decisions. For example,
- Product definition concepts (Definition of Ready, Done, Delivery) can be standardized.
- Decision modelling involves creating a framework with a blueprint on how product decisions must be made, with the aid of:
- Process flows,
- Checklists,
- Decision authority matrix, or
- QA stage gates (so that a common understanding of the decision process can be built for a product).
| POA Domain | Decision Modelling and Analysis |
| Applying Foundational Concepts |
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| Cultivate Customer Intimacy |
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| Engage the Whole Team |
|
| Make an Impact |
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| Deliver Often |
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| Learn Fast |
|
| Obsess About Value |
|