Global Figma redesign and long-term product direction

Services

UX Design
Product Strategy
AI

About

Mush Social

Mush Social engagement: global-level Figma redesign, AI within the social product, and long-term application roadmap recommendations — research through product direction, not cosmetic UI tweaks.

Challenges

The social product needed a coherent global experience and a credible AI roadmap. Fragmented UI patterns and unclear long-term direction slowed engineering and confused users across markets.

Inconsistent global UX fragmented the product across surfaces and markets.
Shallow redesign briefs risked cosmetic changes without fixing structural product problems.
AI without strategy threatened feature sprawl instead of durable product value.
Unclear roadmap left engineering without a multi-year application direction.

Project Journey

1. Global Figma redesign
End-to-end UX redesign at product level across primary social journeys.
2. AI in product
AI capabilities designed into the social experience rather than bolted on as demos.
3. Product strategy
Long-term application update recommendations tied to user and business outcomes.
4. Handoff to engineering
Specs and direction engineering teams can implement without reinterpretation.

Scope

Global Figma redesign

End-to-end UX redesign at product level across primary social journeys.

AI in product

AI capabilities designed into the social experience rather than bolted on as demos.

Product strategy

Long-term application update recommendations tied to user and business outcomes.

Handoff to engineering

Specs and direction engineering teams can implement without reinterpretation.

Results

Coherent global UX direction shipped in Figma
AI positioned inside the social product with clear use cases
Long-term application roadmap stakeholders can prioritize
Engineering handoff that reduces reinterpretation waste
Foundation for follow-on intelligence and content modules

Production

Grade delivery

Phased

Rollout model

Operated

Post-launch support

Read more case studies

Check out more Aqeeq projects and success stories.

OMNICHANNEL COMMERCE

ShopLinx Omnichannel Commerce

ShopLinx is an AI-powered operating system for retail and D2C brands — social automation on WhatsApp, Instagram, and Facebook, Shopify sync, unified CRM, and commerce that holds under campaign traffic.

Read case study

COLD CHAIN

Cold Chain & Farm-to-Market Platform

Sahyadri Farms needed one dashboard for logistics and supply-chain records across sales, logistics, marketing, and admin — replacing scattered tools with a centralized React, Node.js, Express, and PostgreSQL platform, plus AI assistance through AURA.

Read case study

RETAIL ERP

Retail ERP & Inventory Platform

Multi-brand retailers needed one inventory truth across stores, warehouses, and digital channels — without ripping out existing ERP investments. The platform became the integration and operator layer that merchandising and ops could trust daily.

Read case study

EDTECH

AI Exam & Assessment Platform

Examifly is a Next.js edtech platform for AI-based student assessment — exams and mark calculation handled by AI, with query resolution so learners get answers without waiting on faculty queues.

Read case study

STUDENT AI

Student AI Platform

Student Cat is a complete school management system — academics, administration, attendance, and AI query handling with AURA — built for operators who run schools every day, not demo dashboards.

Read case study

CYBER ANALYTICS

AI-Powered Threat Intelligence

Netviss is an AI-powered cybersecurity platform for adaptive threat detection, network visibility, and security operations — signal over noise for teams drowning in alerts.

Read case study

Ready to move from pilot to production?

Start with a conversation grounded in engineering reality.

Book an AI Strategy Session