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Communications Console for SMS, WhatsApp, and Emails #4

@Vanshikabhatotia

Description

@Vanshikabhatotia

Ticket Contents

Communications Console
SPV and MDO be able to reach out to their 30M userbase for targeted marketing and feedback mechanism.

Feature Value
SPV/MDO will be able to connect with users, understand their issues, nudge them to enroll, complete course consumption. With the data insights, SPV/MDO be able to take decisions how to promote learning on iGOT.

Feature Vision

  • SPV/MDO be able to create user buckets based on certain criteria. E.g. users who have enrolled in at least 1 course etc.
  • SPV/MDO be able to query and create user buckets by querying in natural language (NLP and LLM). e.g., A SPV may say, “Create a list of users who have been active for at least 5 hours in past 24 hours”.
  • Upload SMS, WhatsApp Messages formats and email pre-defined templates.
  • SPV/MDO be able to enable feedback mechanism and enabling analytics and AI driven insights from the responses.

Goals & Mid-Point Milestone

  1. Develop a Communications Console integrated with iGOT Platform, enabling SPVs and MDOs to engage with a user base of 30 million through SMS, WhatsApp, and Email channels.
  2. Facilitate targeted marketing campaigns and feedback mechanisms to enhance user enrollment and course completion rates.
  3. Provide data insights to SPVs and MDOs for informed decision-making on promoting learning initiatives on iGOT.

Setup/Installation

No response

Expected Outcome

  1. Improved user engagement and communication channels between SPVs, MDOs, and the iGOT user base.
  2. Increased user enrollment and course consumption through targeted marketing campaigns and personalized communication.
  3. Enhanced data analytics capabilities to derive actionable insights from user feedback and interactions.

Acceptance Criteria

  1. Communications Console successfully integrated with iGOT Platform, allowing SPVs and MDOs to access SMS, WhatsApp, and Email channels.
  2. Ability to create user buckets based on specific criteria such as course enrollment status, activity level, etc.
  3. Natural language query capability implemented using NLP and LLM for creating user buckets.
  4. Upload functionality for SMS, WhatsApp messages formats, and email pre-defined templates.
  5. Feedback mechanism enabled with analytics and AI-driven insights derived from user responses.
  6. User feedback indicating satisfaction with communication effectiveness and responsiveness.

Implementation Details

This project has to be built from scratch and is tech stack agnostic

Mockups/Wireframes

No response

Product Name

Karmayogi

Organisation Name

MeitY

Domain

⁠Learning & Development

Tech Skills Needed

Other

Mentor(s)

@mbcse

Category

Backend

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