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Where methodologies like SAFe and Waterfall fall short, Deterministic Agile is a schedule and cost forecasting method that complements current agile methods like scrum.
Up to 70% of IT projects fail - and lack of alignment plays a big role. Building stakeholder alignment in your IT projects can help you stay on budget and timeline, meet business goals, and build ownership and engagement in your project's outcomes.
Everyone draws conclusions based on their experiences and "Confirmation Bias." The big question is how can we prevent our confirmation bias from impacting our conclusions. There are lots of books and expert insights on how to solve this thorny question but here are some basic steps that may help along the way.
Regular one-on-one meetings are the most valuable coaching tool in a manager or servant leader's toolkit. Here are some best practices.
These five things are fundamental to getting agile to work effectively in an enterprise organization.
We often get pushback on our HCDAgile methodology. So what value does it deliver to our clients?
Citibank's accidental $500M transaction was blamed on a poor UI design. Here are the three main ways HCD could have helped prevent this problem.
Here’s one example of how I used deterministic agile to provide scheduling certainty to project stakeholders.
An overview of why technical resources should be part of a Digital Experience "design only" project to help overcome technical roadblocks.
Deterministic Agile can add an effective estimation process to Agile without sacrificing the existing benefits of Agile.
How do you apply the principles of human-centered design Agile (HCDAgile) to data projects? This recap from our October 2019 meetup discusses this question.
What happens if a company figures out how to integrate HCD and Agile?
To prepare for the Five Ss, get the right people in the room: the key people who understand the nature of the activity you are going to prototype.
As far as planning, especially in an agile world, what's your strategy to produce that roadmap?
Our definition of decision science is simple: It’s a practice in which machines help business leaders solve problems that have traditionally been solved by human judgment, intuition, and experience alone.
