Mho and MessAI

Transforming the Indian SMS Experience

Role

Lead Product Designer

Tools Used

Adobe XD & CC

Year

2017 to 2019

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Problem

In India’s fast-moving digital world, businesses and banks rely heavily on SMS to share critical updates. Yet crowded inboxes often bury important messages, leaving users scrambling to find transaction alerts, appointment reminders, or promotional offers.
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Research

  • Industry Scan: We reviewed how leading apps handle large volumes of unstructured text and identified gaps in SMS parsing and organization.
  • Resource Constraints: With a small Hyderabad-based team in 2017, we worked in proof-of-concept mode—iterating quickly on research inputs.
  • Technology Exploration: We evaluated natural language processing (NLP) libraries and frameworks best suited for parsing diverse SMS formats.
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Strategy

1. NLP-Powered Parsing

  • Build a lightweight Android app that extracts key data—dates, amounts, sender names—from raw SMS text.

2. User-Centered Features

  • Prioritize a clear home screen, simple onboarding, and powerful search/filter tools to help users find their messages in seconds.

3. Iterative Development

  • Release early prototypes, gather feedback from real users, then refine both design and functionality in rapid cycles.
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Design Phase

  • Home Screen
    We crafted a dashboard that groups messages into categories like “Upcoming,” “Finance,” “Inbox,” and Channels.” A clean layout and clear icons guide users to the information they need at a glance.
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  • Onboarding
    A three-step flow—account setup, phone-number verification, and permission granting—welcomes users swiftly and without friction.
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  • Intuitive Search & Filtering
    We implemented full-text search and date-range filters so users can pinpoint past bills, upcoming travel alerts, or specific senders in their message history.
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Key Takeaways

  • User Testing Is Essential
    Early and frequent testing reveals usability issues before they become costly mistakes.
  • Internal Feedback Fuels Growth
    Regular design critiques and collaborative reviews strengthened both the UI and underlying features.
  • Design–Dev Collaboration
    mbedding designers into front-end development cycles ensured that the final product matched our original vision and technical goals.

Conclusion

Mho & MessAI transformed cluttered SMS inboxes into organized, searchable archives. By combining NLP technology with user-focused design and an agile, feedback-driven process, we delivered an Android app that makes critical information instantly accessible—simplifying life for thousands of users and laying the groundwork for future AI-powered messaging solutions.

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