Published By Mr. Verma
Mobile App Marketing Guide To Master User Retention: Reducing Uninstall Rate
Solar app is a consumer information centric application designed to help them in decision making regarding technologies, logistics details, system design presented in a very lucid manner for easy understanding.
MNRE Training is a similarly designed app but is used to specifically train and use by the MNRE team. Questions and modules are categorised accordingly.
Quokka Labs imbibed it’s app development expertise on the wordpress services to bring out another exciting mobility product to serve the commonly asked questions of different users.
What do these apps serve ?
Both the applications basically intend to serve as an FAQ (Frequently Asked Questions) related to solar energy.
What languages are supported?
The content is available in both: English and Hindi.
How is the user access designed?
For the Solar app, any international user can log in with their state, DISCOM name, email, and phone number. This is just a single-screen log-in process for easy onboarding without any need for registration.
But since the MNRE Training app is designed for internal stakeholders, it needs registration for each team member
What solar technologies are addressed in the app?
The modules regarding technological know-how (available inside “Know about Rooftop Solar” category) in classified into sections:
The “Know about Rooftop Solar” category also details the benefits and incentives regarding installation of rooftop solar.
How does the user read the modules?
After searching down to the particular question of interest, the user can tap on a small arrow on the right of the screen. This will bring the user to the page containing an answer to the related issue.
How are the modules categorised in the app?
The modules are divided into 3 categories namely:
This segmentation helps users to easily navigate to his/her enquiry.
How does the user search his questions?
A search bar is established at the top where the search will take place by smartly matching keywords typed in by the user.
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Published By Mr. Sharma