OpenX Method Explained in AI Projects
OpenX Method is our way to enhance traditional project approaches and make them perfectly suitable for remote development.
It is intended in particular for small and medium-sized companies, which need to be updated with regular reports on the progress of their projects.
At the same time, it streamlines the bureaucratic complications that normally affect large companies.
So, what is it all about?
How it all started
Talking with various clients in outsourcing, I noticed a common pattern.
They were usually satisfied with their remote software vendors for the final result, but kind of uneasy with their way of updating them about how the project was going on.
You know, people are usually thousands of kilometers away and traditional methods do not consider these fears.
To solve this problem, we took traditional SCRUM that almost all companies use, but we spiced it up and that is how the OpenX method was born.
Traditional approaches are the past, we work in the future
We are living in the age of flexibility and Agile. The most known Agile methodology is SCRUM, which was able to easily displace the entire set of rules of the legendary PMBOK.
You could tell us: “Why don’t you like PMBOK? It is the cornerstone of project management!”.
Yes, it is. But it’s also too formal, too complicated and too big for us.
We are a small, dynamic company and we love to do things fast: it is simply unacceptable to use formal and overly complex approaches in our business. Formal approaches are the past.
Specialized approaches are better, but not enough for us
What about SCRUM or CRISP-DM, pseudonym of “Cross-Industry Standard Process for Data Mining”?
Well, CRISP-DM does not have the flexibility and predictability of SCRUM.
But SCRUM methodology focuses too much on Project teams and Project flow (the program of a project’s life cycle).
On the other hand, there is almost no place for transparent communication. For many managers and Product Owners, SCRUM creates the illusion of control.
They see “sprints”, “story points”, dutiful “burn down” diagrams, and all the other mysterious terminology and images, but the actual project flow is still a black box for them.
They know something… or nothing.
How can OpenX solve your problems?
AI projects are a special category of projects. An AI project involves a long work of research.
And it is not possible to predict the results with 100% accuracy during the planning before the project research part will be completed.
This is the second black box.
So, it is like a black box inside a black box.
SCRUM cannot solve this issue and bring light into AI’s dark matter.
It needs the help of OpenX.
And OpenX can do it!
We took the best and made it even better
We took all the most suitable things from PMBOK, CRISP-DM, and SCRUM.
We used a process-based approach from PMBOK: this guarantees the solid structure of our processes and pipelines for projects.
Then, we mixed CRISP cycles and a research-oriented approach with SCRUM sprints (the different steps of the project), measurements, and predictability.
Finally, we spiced up everything with something new: communication and openness.
The result is the OpenX method, which helps us to make our clients and partners happy.
Communication is what we believe in
But how can we solve the “Black box” issue with OpenX?
Well, it’s simple.
- We are open.
- We proactively communicate with our clients and partners.
- We explain the flow, the state, and even the subject area of their project simply and intuitively, without any weird SCRUM terminology.
We do it with our clients and even with Business Owners because every AI project always reaches the point in which our team understands the project itself and its subject area better than our clients.
And we want to share this knowledge with them!
The key points of OpenX
OpenX is really a cool thing!
Let’s make a comparison between ordinary SCRUM and Agile, which was enhanced with the help of OpenX: