Enterprise application design

i2V Analytic Manager

i2V Analytic Manager

Unifying fragmented video intelligence tools into a scalable analytics platform

Unifying fragmented video intelligence tools into a scalable analytics platform

Year :

2022

Industry :

Video management software

Client :

i2V Systems Pvt. Ltd.

Project Duration :

1 Year

Project Overview

A web-based platform that enables security teams to monitor AI-driven video analytics, investigate events, and generate insights from surveillance data across multiple locations.

Background

i2V Analytic Manager is a web-based platform that enables security teams to monitor, configure, and investigate video analytics across large surveillance networks. As products like ITMS, FRS, ICCC, and Analytic Manager evolved independently, workflows became fragmented and inconsistent.

My goal was to unify these capabilities into a structured, scalable platform that simplifies complex tasks while introducing a consistent design language. This work reduced operational friction and established a reusable design foundation for future development.

KEY FOCUS AREAS

Platform consolidation
Platform consolidation
Unified multiple analytics and surveillance applications into one platform.
Workflow simplification
Workflow simplification
Simplified tasks like applying analytics, configuring dashboards, and searching events.
Systematic structure
Systematic structure
Introduced consistent navigation, layouts, and interaction patterns.
Design system foundation
Design system foundation
Created reusable UI components to support faster and consistent development.
Enterprise usability
Enterprise usability
Designed interfaces that manage complex configurations without overwhelming users.

The Problem

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Multiple independent analytics platforms created operational friction and limited scalability.

As the surveillance ecosystem expanded with platforms like ITMS, FRS, ICCC, and Analytic Manager, each product evolved independently. This created both operational challenges for the business and usability issues for security teams, making the overall platform harder to scale and operate efficiently.

Operational complexity in distributed surveillance environments

Security teams managing multiple analytics platforms (ITMS, FRS, ICCC, Analytic Manager) encountered workflow inefficiencies and inconsistent interfaces during critical operations.

Business Challenges

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User Challenges

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Click to zoom

The Challenges

Key constraints and strategic decisions that shaped the platform architecture.

Balancing consolidation with usability

PROBLEM

Merging multiple complex systems while maintaining task clarity

APPROACH

Prioritized workflow integrity over feature density. Designed progressive disclosure patterns and contextual navigation to surface relevant tools at the right moment without overwhelming operators.

Image 1Image 2Image 3
1 / 3
Zoom

Structuring complex analytics workflows

PROBLEM

Analytics configuration involved nested settings and real-time dependencies

APPROACH

Introduced guided configuration flows with clear visual hierarchy, status indicators, and validation feedback. Separated setup, monitoring, and investigation into distinct but connected workflows.

Image 1Image 2
1 / 2
Zoom

Maintaining consistency across teams

PROBLEM

Multiple teams working on evolving modules with different timelines

APPROACH

Established design system foundation with reusable components, interaction patterns, and documentation. Created review checkpoints to ensure alignment as modules scaled independently.

Image 1Image 2
1 / 2
Zoom

Research & Insights

40%
Reduced task steps
Analytics configuration workflow simplification
50%
Reduced navigation
Module switching and context changes
35%
Faster investigation
Event investigation efficiency improvement
30%
Lower onboarding
Reduced training session dependency
How improvements were measured
The metrics presented here are based on workflow reviews, internal team feedback, and usability observations conducted during the redesign process.
These improvements reflect operational reasoning and comparative analysis between legacy and redesigned workflows, rather than formal analytics dashboards or A/B testing data.
The estimates represent realistic enterprise UX impact derived from reduced task complexity, consolidated navigation patterns, and streamlined information architecture.

How improvements were measured

The metrics presented here are based on workflow reviews, internal team feedback, and usability observations conducted during the redesign process.
These improvements reflect operational reasoning and comparative analysis between legacy and redesigned workflows, rather than formal analytics dashboards or A/B testing data.
The estimates represent realistic enterprise UX impact derived from reduced task complexity, consolidated navigation patterns, and streamlined information architecture.
40%
Reduced task steps
Analytics configuration workflow simplification
50%
Reduced navigation
Module switching and context changes
35%
Faster investigation
Event investigation efficiency improvement
30%
Lower onboarding
Reduced training session dependency
Research Method
Stakeholder interviews, system demonstrations analysis, workflow mapping, and cross-platform usability audits
Unified workflows
Multiple analytics processes consolidated into single platform structure
Reusable patterns
UI components scaled across modules for development efficiency

The Solution

A system-level approach to restructuring analytics workflows, navigation, and visual patterns.

Unified analytics ecosystem
Consolidated multiple independent platforms (ITMS, FRS, ICCC) into a single structured web application with cohesive navigation and shared component library.
Image 1Image 2Image 3
1 / 3
Click to zoom
Unified analytics ecosystem
Consolidated multiple independent platforms (ITMS, FRS, ICCC) into a single structured web application with cohesive navigation and shared component library.
Image 1Image 2Image 3
1 / 3
Click to zoom

Outcome & Impact

The redesign established a structured analytics platform that improved operational efficiency and positioned the product for sustainable growth.

Slide 1Slide 2Slide 3Slide 4
1 / 4
Click to zoom

"The unified platform approach significantly improved our ability to demonstrate analytics capabilities to enterprise clients. The structured design foundation is enabling faster feature development across modules."

Product & Engineering Leadership

i2V Systems

KEY LEARNING

Enterprise transformation requires structuring workflows, information, and patterns, not just merging features.

Enterprise transformation requires structuring workflows, information, and patterns, not just merging features.

Successful platform consolidation isn't about combining interfaces, it's about creating coherent systems that scale, patterns that persist, and foundations that enable future growth.

Successful platform consolidation isn't about combining interfaces, it's about creating coherent systems that scale, patterns that persist, and foundations that enable future growth.

Zahid Raza
Zahid Raza

Hi

Hi

Curious about the process behind the pixels?

Dive into the stories behind each project, how design decisions shaped better user experiences.

Enterprise application design

i2V Analytic Manager

i2V Analytic Manager

Unifying fragmented video intelligence tools into a scalable analytics platform

Unifying fragmented video intelligence tools into a scalable analytics platform

Year :

2022

Industry :

Video management software

Client :

i2V Systems Pvt. Ltd.

Project Duration :

1 Year

Project Overview

A web-based platform that enables security teams to monitor AI-driven video analytics, investigate events, and generate insights from surveillance data across multiple locations.

Background

i2V Analytic Manager is a web-based platform that enables security teams to monitor, configure, and investigate video analytics across large surveillance networks. As products like ITMS, FRS, ICCC, and Analytic Manager evolved independently, workflows became fragmented and inconsistent.

My goal was to unify these capabilities into a structured, scalable platform that simplifies complex tasks while introducing a consistent design language. This work reduced operational friction and established a reusable design foundation for future development.

KEY FOCUS AREAS

Platform consolidation
Platform consolidation
Unified multiple analytics and surveillance applications into one platform.
Workflow simplification
Workflow simplification
Simplified tasks like applying analytics, configuring dashboards, and searching events.
Systematic structure
Systematic structure
Introduced consistent navigation, layouts, and interaction patterns.
Design system foundation
Design system foundation
Created reusable UI components to support faster and consistent development.
Enterprise usability
Enterprise usability
Designed interfaces that manage complex configurations without overwhelming users.

The Problem

Slide 1Slide 2Slide 3Slide 4Slide 5
1 / 5
Zoom
Slide 1Slide 2Slide 3Slide 4Slide 5
1 / 5
Zoom

Multiple independent analytics platforms created operational friction and limited scalability.

As the surveillance ecosystem expanded with platforms like ITMS, FRS, ICCC, and Analytic Manager, each product evolved independently. This created both operational challenges for the business and usability issues for security teams, making the overall platform harder to scale and operate efficiently.

Operational complexity in distributed surveillance environments

Security teams managing multiple analytics platforms (ITMS, FRS, ICCC, Analytic Manager) encountered workflow inefficiencies and inconsistent interfaces during critical operations.

Business Challenges

Slide 1Slide 2Slide 3Slide 4Slide 5
1 / 5
Click to zoom

User Challenges

Slide 1Slide 2
1 / 2
Click to zoom

The Challenges

Key constraints and strategic decisions that shaped the platform architecture.

Balancing consolidation with usability

PROBLEM

Merging multiple complex systems while maintaining task clarity

APPROACH

Prioritized workflow integrity over feature density. Designed progressive disclosure patterns and contextual navigation to surface relevant tools at the right moment without overwhelming operators.

Image 1Image 2Image 3
1 / 3
Zoom

Structuring complex analytics workflows

PROBLEM

Analytics configuration involved nested settings and real-time dependencies

APPROACH

Introduced guided configuration flows with clear visual hierarchy, status indicators, and validation feedback. Separated setup, monitoring, and investigation into distinct but connected workflows.

Image 1Image 2
1 / 2
Zoom

Maintaining consistency across teams

PROBLEM

Multiple teams working on evolving modules with different timelines

APPROACH

Established design system foundation with reusable components, interaction patterns, and documentation. Created review checkpoints to ensure alignment as modules scaled independently.

Image 1Image 2
1 / 2
Zoom

Research & Insights

40%
Reduced task steps
Analytics configuration workflow simplification
50%
Reduced navigation
Module switching and context changes
35%
Faster investigation
Event investigation efficiency improvement
30%
Lower onboarding
Reduced training session dependency
How improvements were measured
The metrics presented here are based on workflow reviews, internal team feedback, and usability observations conducted during the redesign process.
These improvements reflect operational reasoning and comparative analysis between legacy and redesigned workflows, rather than formal analytics dashboards or A/B testing data.
The estimates represent realistic enterprise UX impact derived from reduced task complexity, consolidated navigation patterns, and streamlined information architecture.

How improvements were measured

The metrics presented here are based on workflow reviews, internal team feedback, and usability observations conducted during the redesign process.
These improvements reflect operational reasoning and comparative analysis between legacy and redesigned workflows, rather than formal analytics dashboards or A/B testing data.
The estimates represent realistic enterprise UX impact derived from reduced task complexity, consolidated navigation patterns, and streamlined information architecture.
40%
Reduced task steps
Analytics configuration workflow simplification
50%
Reduced navigation
Module switching and context changes
35%
Faster investigation
Event investigation efficiency improvement
30%
Lower onboarding
Reduced training session dependency
Research Method
Stakeholder interviews, system demonstrations analysis, workflow mapping, and cross-platform usability audits
Unified workflows
Multiple analytics processes consolidated into single platform structure
Reusable patterns
UI components scaled across modules for development efficiency

The Solution

A system-level approach to restructuring analytics workflows, navigation, and visual patterns.

Unified analytics ecosystem
Consolidated multiple independent platforms (ITMS, FRS, ICCC) into a single structured web application with cohesive navigation and shared component library.
Image 1Image 2Image 3
1 / 3
Click to zoom
Unified analytics ecosystem
Consolidated multiple independent platforms (ITMS, FRS, ICCC) into a single structured web application with cohesive navigation and shared component library.
Image 1Image 2Image 3
1 / 3
Click to zoom

Outcome & Impact

The redesign established a structured analytics platform that improved operational efficiency and positioned the product for sustainable growth.

Slide 1Slide 2Slide 3Slide 4
1 / 4
Click to zoom

"The unified platform approach significantly improved our ability to demonstrate analytics capabilities to enterprise clients. The structured design foundation is enabling faster feature development across modules."

Product & Engineering Leadership

i2V Systems

KEY LEARNING

Enterprise transformation requires structuring workflows, information, and patterns, not just merging features.

Enterprise transformation requires structuring workflows, information, and patterns, not just merging features.

Successful platform consolidation isn't about combining interfaces, it's about creating coherent systems that scale, patterns that persist, and foundations that enable future growth.

Successful platform consolidation isn't about combining interfaces, it's about creating coherent systems that scale, patterns that persist, and foundations that enable future growth.

Zahid Raza
Zahid Raza

Hi

Hi

Curious about the process behind the pixels?

Dive into the stories behind each project, how design decisions shaped better user experiences.

Enterprise application design

i2V Analytic Manager

i2V Analytic Manager

Unifying fragmented video intelligence tools into a scalable analytics platform

Unifying fragmented video intelligence tools into a scalable analytics platform

Year :

2022

Industry :

Video management software

Client :

i2V Systems Pvt. Ltd.

Project Duration :

1 Year

Project Overview

A web-based platform that enables security teams to monitor AI-driven video analytics, investigate events, and generate insights from surveillance data across multiple locations.

Background

i2V Analytic Manager is a web-based platform that enables security teams to monitor, configure, and investigate video analytics across large surveillance networks. As products like ITMS, FRS, ICCC, and Analytic Manager evolved independently, workflows became fragmented and inconsistent.

My goal was to unify these capabilities into a structured, scalable platform that simplifies complex tasks while introducing a consistent design language. This work reduced operational friction and established a reusable design foundation for future development.

KEY FOCUS AREAS

Platform consolidation
Platform consolidation
Unified multiple analytics and surveillance applications into one platform.
Workflow simplification
Workflow simplification
Simplified tasks like applying analytics, configuring dashboards, and searching events.
Systematic structure
Systematic structure
Introduced consistent navigation, layouts, and interaction patterns.
Design system foundation
Design system foundation
Created reusable UI components to support faster and consistent development.
Enterprise usability
Enterprise usability
Designed interfaces that manage complex configurations without overwhelming users.

The Problem

Slide 1Slide 2Slide 3Slide 4Slide 5
1 / 5
Zoom
Slide 1Slide 2Slide 3Slide 4Slide 5
1 / 5
Zoom

Multiple independent analytics platforms created operational friction and limited scalability.

As the surveillance ecosystem expanded with platforms like ITMS, FRS, ICCC, and Analytic Manager, each product evolved independently. This created both operational challenges for the business and usability issues for security teams, making the overall platform harder to scale and operate efficiently.

Operational complexity in distributed surveillance environments

Security teams managing multiple analytics platforms (ITMS, FRS, ICCC, Analytic Manager) encountered workflow inefficiencies and inconsistent interfaces during critical operations.

Business Challenges

Slide 1Slide 2Slide 3Slide 4Slide 5
1 / 5
Click to zoom

User Challenges

Slide 1Slide 2
1 / 2
Click to zoom

The Challenges

Key constraints and strategic decisions that shaped the platform architecture.

Balancing consolidation with usability

PROBLEM

Merging multiple complex systems while maintaining task clarity

APPROACH

Prioritized workflow integrity over feature density. Designed progressive disclosure patterns and contextual navigation to surface relevant tools at the right moment without overwhelming operators.

Image 1Image 2Image 3
1 / 3
Zoom

Structuring complex analytics workflows

PROBLEM

Analytics configuration involved nested settings and real-time dependencies

APPROACH

Introduced guided configuration flows with clear visual hierarchy, status indicators, and validation feedback. Separated setup, monitoring, and investigation into distinct but connected workflows.

Image 1Image 2
1 / 2
Zoom

Maintaining consistency across teams

PROBLEM

Multiple teams working on evolving modules with different timelines

APPROACH

Established design system foundation with reusable components, interaction patterns, and documentation. Created review checkpoints to ensure alignment as modules scaled independently.

Image 1Image 2
1 / 2
Zoom

Research & Insights

40%
Reduced task steps
Analytics configuration workflow simplification
50%
Reduced navigation
Module switching and context changes
35%
Faster investigation
Event investigation efficiency improvement
30%
Lower onboarding
Reduced training session dependency
How improvements were measured
The metrics presented here are based on workflow reviews, internal team feedback, and usability observations conducted during the redesign process.
These improvements reflect operational reasoning and comparative analysis between legacy and redesigned workflows, rather than formal analytics dashboards or A/B testing data.
The estimates represent realistic enterprise UX impact derived from reduced task complexity, consolidated navigation patterns, and streamlined information architecture.

How improvements were measured

The metrics presented here are based on workflow reviews, internal team feedback, and usability observations conducted during the redesign process.
These improvements reflect operational reasoning and comparative analysis between legacy and redesigned workflows, rather than formal analytics dashboards or A/B testing data.
The estimates represent realistic enterprise UX impact derived from reduced task complexity, consolidated navigation patterns, and streamlined information architecture.
40%
Reduced task steps
Analytics configuration workflow simplification
50%
Reduced navigation
Module switching and context changes
35%
Faster investigation
Event investigation efficiency improvement
30%
Lower onboarding
Reduced training session dependency
Research Method
Stakeholder interviews, system demonstrations analysis, workflow mapping, and cross-platform usability audits
Unified workflows
Multiple analytics processes consolidated into single platform structure
Reusable patterns
UI components scaled across modules for development efficiency

The Solution

A system-level approach to restructuring analytics workflows, navigation, and visual patterns.

Unified analytics ecosystem
Consolidated multiple independent platforms (ITMS, FRS, ICCC) into a single structured web application with cohesive navigation and shared component library.
Image 1Image 2Image 3
1 / 3
Click to zoom
Unified analytics ecosystem
Consolidated multiple independent platforms (ITMS, FRS, ICCC) into a single structured web application with cohesive navigation and shared component library.
Image 1Image 2Image 3
1 / 3
Click to zoom

Outcome & Impact

The redesign established a structured analytics platform that improved operational efficiency and positioned the product for sustainable growth.

Slide 1Slide 2Slide 3Slide 4
1 / 4
Click to zoom

"The unified platform approach significantly improved our ability to demonstrate analytics capabilities to enterprise clients. The structured design foundation is enabling faster feature development across modules."

Product & Engineering Leadership

i2V Systems

KEY LEARNING

Enterprise transformation requires structuring workflows, information, and patterns, not just merging features.

Enterprise transformation requires structuring workflows, information, and patterns, not just merging features.

Successful platform consolidation isn't about combining interfaces, it's about creating coherent systems that scale, patterns that persist, and foundations that enable future growth.

Successful platform consolidation isn't about combining interfaces, it's about creating coherent systems that scale, patterns that persist, and foundations that enable future growth.

Zahid Raza
Zahid Raza

Hi

Hi

Curious about the process behind the pixels?

Dive into the stories behind each project, how design decisions shaped better user experiences.