Despite having a huge wealth of content, Indian streaming services have failed to penetrate the tier-2, and tier-3 cities of India, due to a lack of personalization and monetization of the content.
Build a streaming platform for India, with a high-paid retention model which caters for both content creators and content consumers and is affordable.
Name | Mahesh Kumar | Shakuntala Devi |
---|---|---|
Background | Shopkeeper from a tier 3 city | A grandma who lives with her family |
Aspirations | Wants to view quality regional content during his free time at his shop. | Wants to pass time and also view content related to spirituality |
Pain Points | He is not able to relate to the current content and feels he is not able to find content which represents his life and surroundings | She has not been able to find regional and also retro movies. |
Name | Priya | Alok Patel |
---|---|---|
Background | Local Influencer - Regional Storyteller | Runs a drama company with his team of content writers, directors, actors, etc. |
Aspirations | She wants to create short stories to showcase it | He wants his art form to be viewed by lots of people and generate revenue to drive his drama company. |
Pain Points | She needs more resources to be able to do it effectively. | He is not able to get a good platform wherein he can host his content and also. get a decent amount of money out of it. |
Viewers | Content Creators |
---|---|
Lack of regional and relevant content customised per users’ demographics and interests. | Lack of a bigger platform which can increase the reach of produced |
Current pricing isn't affordable. | Resources |
Viewers need to wait for a long duration for the next release of their preferred content (episodes). | Revenue |
The UI interface is not very easy and intuitive for the viewer. | Visibility |
Piracy |
Mirra is a platform which can provide solutions through features which are categorised as below per our user personas.
Feature | Description | Priority |
---|---|---|
Personalised Content | A vast bundle of content in the form of movies, short films, series which are categorised based on the regional languages. | 1 |
Affordable Packages | Curated packages which are affordable for consumption. | 2 |
Content Recommendation Engine - ML/AI | Based on the viewer activity, a backend recommendation system would prompt and highlight content that could probably be watched next. | 3 |
Interactive Features and Community Engagement | Herein, features to “upvote”, “like”, content, create polls, interactive movies and short films. | 4 |
Multilingual User Interface | The user interface would be available in regional languages which makes it easy to use. | 5 |