Yes, new software can speed up processes and contribute to greater business success. But the internal teams responsible for mastering this software aren’t always quick to learn new tools, leading to what is known as the user adoption gap. Without the right interventions, an adoption gap can trigger lower employee satisfaction and hurt efficiency.
Fortunately, artificial intelligence (AI) can make new software more accessible and easier to update. In the article that follows, we’ll outline some of the best AI strategies to reduce friction in enterprise software transitions.
Tailoring Onboarding Processes
Everyone learns differently, and AI knows this. While some team members might want to wander around the new software to become familiar with it, others want more concrete instructions. AI can intervene by evaluating how someone uses the software and adapting onboarding to a specific person’s needs.
AI can interject with tips for navigating a certain area. Or AI can spotlight relevant features and explain how they’re an improvement. Even more involved tutorials can become part of the onboarding process if they’re helpful.
Ultimately, a customized process can help employees digest software transitions more easily. And when team members feel confident, they’ll be able to tackle changes and maintain more efficient workflows.
Offering AI-Powered Guidance
Help articles can offer detailed instructions when someone is confused by software. But those articles can feel like walls of text that are too difficult to unpack. And support teams aren’t always quick to respond to questions.
With the help of AI-powered chatbots and other forms of guidance, it’s easier than ever for teams to understand new software. Chatbots can provide immediate responses, and tips can pop up on screens if AI detects hesitation. Letting user actions inform responses enables AI to lend a helping hand so team members stay engaged.
Analyzing Software Use Patterns
AI can look at software use patterns to detect problems before they get bigger. Perhaps users are avoiding a certain feature, or maybe they’re disengaging quickly. By pinpointing common problems, AI can offer more precise solutions.
AI can help teams tweak their support resources, reduce steps, or shift workflows. In short, AI helps create a more proactive approach to fixing issues with enterprise software transitions.
AI can gather data on feature use and track how long users spend on tasks. The best product analytics tools for adoption tracking can help companies keep an eye on behavior and make changes to onboarding procedures.
Turning to Automation
It can feel slow and cumbersome to learn new products and systems. But when AI can speed up processes, the efficiency can be appealing to users reluctant to embrace new software.
AI can create reports quickly and populate forms. AI can indicate the next steps for processes or explain things in more than one way.
When AI assistants can generate answers and simplify explanations, users may be more willing to invest in learning new software. Integrated well, AI can encourage team members to stay engaged and keep learning.
Creating Customized Interfaces
While some features within software will be critical for one team, they might be unnecessary for another team. Marketing and customer success, for instance, might not rely on the same tools as the accounting team.
AI recognizes that not all tools are relevant for everyone’s needs. In response, AI can remove tools from dashboards for certain teams to help avoid confusion. A pared-down set of tools helps team members focus on what they need to do so they’re not distracted.
Focusing on Successful Adoption
For any company hoping to close the adoption gap, metrics are critical. Leadership teams need to look at the data to see if strategies are working. AI can pull up that data quickly, too, leading to actionable information.
AI can assess how long it takes team members to complete tasks with the new software. Faster times could indicate that strategies are working well. But stagnant rates could suggest that the user adoption gap is still wide.
Likewise, AI can compare how different teams’ adoption rates look. And AI can track measurements over months or quarters to note changes. Gathering information regularly can help companies keep their finger on the pulse of their team members during times of change.
Enterprise software transitions can feel long and frustrating for team members. But with the help of AI, it’s possible to automate processes and help team members with the transition.
Teams can use tailored dashboards and onboarding processes. And AI can generate useful data insights to help leadership teams know what to do. The best strategies and ongoing monitoring can help companies navigate software changes successfully.
