A look back at the best from a year ago.
Outsourcing Debate – Two Guys Talk it Out
Bill Miller, who writes You Want it When?, a blog focused on improving the way you manage software development and I had a debate over email about outsourcing. We looked at pro’s and con’s, and our discussion centered around the best outsourcing model, and what the ramifications of outsourcing really […]
Glossary of Terms
Some books on how to write and manage requirements mention using a glossary. Most books on requirements don’t go into enough detail about either the importance of a glossary of terms, or the precise use of the glossary of terms. Or if they do, they under-emphasize the benefits of a […]
Flashback: A Year Ago This Week on Tyner Blain [2006-10-27]
A look back at the best from a year ago.
Stakeholder Value-Delivery Matrix
Roger Burlton, of the Process Renewal Group, gave an excellent presentation Monday morning at the 10th annual International Business Rules Group: Developing a Business Process Architecture and Program of Change. A lot of good stuff about how to define, develop, and manage processes. One idea in his presentation was particularly […]
Why Prioritization Matters
I am a big fan of boxes and arrows, but this time, Jeffrey Davidson found a great article by Dan Willis before I did, and told me about it. Thanks Jeffrey! The article is about how to deal with the what and how of requirements and design – and it […]
Flashback: A Year Ago This Week on Tyner Blain [2006-10-20]
A look back at the best from a year ago.
Stakeholder Goals: Principal vs. End User
In our earlier article about managing stakeholder goals, we looked at the relationships between principal stakeholder goals and end-user stakeholder goals. We also showed a way to trace those dependencies. But that approach does not provide us with any insight about the alignment (or lack thereof) between differing goals. This […]
Foundation Series: The Difference Between Correlation and Causality
One of the most common mistakes people make when looking at data is to jump to conclusions about the data. We all live in a world of cause and effect. It is only natural that when we see data that appears to show cause and effect, we assume that it […]