Working on an internal software training project?
Tango is a modern version of a Digital Adoption Platform (DAP).
A DAP is a tool designed to drive software adoption, proficiency, and engagement.
DAPs work in stark opposition to the traditional approach to software training—
which expects end users to memorize countless evolving processes or break flow to find answers.
Instead, DAPs help people learn software [while they use it]. This concept is called Real-Time Enablement.
From a technical standpoint:
DAPs use JavaScript and libraries like jQuery to create interactive overlays on existing software applications.
These overlays guide users through workflows with in-app instructions.
Popular features include on-screen guidance, interactive walkthroughs, simulations, hints, and nudges.
Knowledge Bases are great for centralizing reference information. Learning Management Systems are great for video training courses.
But only Digital Adoption Platforms are purpose-built to enable software process adoption.
The main goal of software training is:
By embedding how-to instructions inside the tools where people already work,
Digital Adoption Platforms require the least amount of change for end users.
The result? Higher, faster, and more successful process adoption.
Reflected in an analytics dashboard with insights into user activity and impact. 🌟
By embedding instructions inside of the tools where people work, you can help end users learn software while they use it.
Make software
easier to learn
Minimize change
for end users
Accelerate
process adoption
Decrease costly
mistakes
Reduce training
and support costs
Increase mental energy
for more strategic work
Transform new hire
time-to-ramp
Drive higher
software ROI
While DAPs offer a great experience for end users learning new software, even their biggest fans say they’re clunky to operate, difficult to integrate, and complex to deploy.
Here’s a summary of what you might experience with a traditional DAP. 👇
Building a business case and looking for a summary for your boss?
Getting faster time-to-value is just the beginning. ✨