One of the essential things B2B software vendors must do well is convey confidence in their ability to deliver game-changing technology with as few unwanted surprises as possible.
Our customers have little room for error when they implement software because there’s a good chance that they recently convinced a team of professionals to bet on their solution as a new and better way of doing business. With ‘bet’ being the operative word.
Sure, all business decisions involve risk. However technology decisions can often involve risks that don’t reveal themselves until the attempt to integrate into the end customer’s IT environment is well underway. This is the hard work, where previously unforeseen issues arise and must be assessed and understood quickly; mostly so related project decisions can be made using the best and most current information available.
For this reason, it is important to evaluate a solution’s risk monitoring capabilities when selecting a platform for your implementation team. Only Baton, the industry’s leading implementation management platform, has incorporated sophisticated risk assessment algorithms into their platform to help project teams proactively identify implementation projects that are at risk of failure, task bottlenecks, or delays.
These genuinely useful algorithms leverage both current and historical project and task data to estimate the likelihood of delays and disruptions to the project timeline. They are also highly welcome tools, especially in a time when setting accurate expectations can do more for establishing customer confidence and ensuring a positive implementation experience than any executive conference call or long-promised feature release.
Project risk assessment is a differentiator that Baton rarely needs to explain to its customers. They already strive to communicate realistic project timelines to their clients and most have suffered the slings and arrows of outrageous misfortune when the impact of missed deadlines are notably underestimated.
At Baton, our project risk algorithms take into account past experience with similar tasks, as well as existing timelines and the level of difficulty of each required task to measure risk at both the project- and task-level. This data is then used to determine projected due dates and any adjustments or disruptions to the project timeline.
To better understand what makes up Baton’s risk algorithm and its juxtaposition to our estimated project and task due dates, head over to our knowledge base for a deeper dive.