HMW Design A Scalable, Low-Cognitive-Load Seat Booking System for Hybrid Workplaces

Overview

When I joined LTIMindtree, the organization was in the middle of a major transition. LTI and Mindtree had recently merged into a single entity, and as part of the consolidation, several internal portals were being sunset, including Mindtree’s seat booking portal. So LTI's portal became default.

Around the same time, post-COVID work policies shifted from fully remote to hybrid. Employee strength increased significantly, offices reopened across multiple campuses, and seat booking became a frequent, everyday task.

I was asked to redesign LTI’s seat management portal, keeping both LTI and Mindtree employees in mind, and help the organization support this new way of working at scale.

Role

Senior Product designer

Team

Product managers
Engineering

Project tenure

3 months

Stakeholders

Facilities, Admin, Engineering and HR teams

TL;DR

As LTIMindtree transitioned to a hybrid work model after the LTI–Mindtree merger, employees struggled to find seats across campuses, while admins lacked visibility and control over seat allocation. I worked on redesigning the seat management system to make booking frictionless for employees and operationally scalable for admins.

The Real Problem

At first, the problem appeared to be about seat availability. But as I dug deeper, it became clear that availability wasn’t the core issue. What I noticed was decision fatigue.

Employees were expected to:

  • Understand new hybrid policies

  • Remember eligibility rules across cities and campuses

  • Interpret why seats were unavailable

  • Browse alternatives without much context

Admins and Facilities teams, on the other hand, were:

  • Manually correcting bookings

  • Managing seat segregation and BU rules

  • Updating floor maps as offices evolved

  • Working with data they didn’t fully trust

The system wasn’t broken, it was simply asking people to manage complexity it should have handled itself.

Design Goals

Before proposing solutions, I wanted to ensure my assumptions matched reality. I combined:

  • Employee surveys, to understand booking patterns, repetition, and frustration points

  • Stakeholder interviews with facilities and admin teams, to understand policies, edge cases, and operational constraints

Rather than treating employees and admins as separate audiences, I focused on how decisions made in one flow impacted the other.

Surveys

Surveys

Surveys

What Employees Shared

From survey responses, a few themes kept coming up

Booking seats felt repetitive, even for frequent office-goers

Users weren’t always sure why seats were unavailable

Browsing through alternatives took longer than expected

Many users preferred the system to guide them instead of making them search

One response captured it well and strongly influenced how I approached the solution.

I don’t want to browse seats. I just want to know what works.

I don’t want to browse seats. I just want to know what works.

I don’t want to browse seats. I just want to know what works.

Stakeholder Interviews

Stakeholder Interviews

Stakeholder Interviews

What Stakeholders Highlighted

In parallel, conversations with admin and facilities teams revealed another side of the problem.

Bookings didn’t reliably translate to actual usage

Seat segregation by BU, ODC type, and availability required constant oversight

Admin workflows were powerful but fragmented

Floor map updates were frequent and error-prone

This revealed a core tension, a simple employee experience depends on a powerful admin system behind it.

When I mapped employee feedback alongside stakeholder concerns, a clear insight emerged. So, I reframed the problem.

How might we design a system that simplifies decision-making for employees, while giving admins precise control over seat availability, management, and data?

This reframing guided every major design decision that followed.

Personas

Personas

Personas

Defining Personas

Before jumping into ideation, we defined personas based on different user needs.

Hybrid Associate

A professional who follows a hybrid work model, splitting time between remote work and office work. They book seats based on availability in their base city. This is the most common persona.

Behaviors:
  • Logs in to the portal only on specific in-office days.

  • Prefers consistency in seat location for better collaboration.

  • Might cancel and rebook frequently depending on schedule changes.

Work From Office Users

An employee with a permanently assigned seat that requires minimal changes. This is 2nd common persona as half of the employees WFO.

Behaviors:
  • Rarely interacts with the booking system unless a change is required.

  • Primarily checks seat details rather than actively booking.

  • May need occasional hot desk access but lacks an intuitive way to do so.

Hot Desk Users

An associate who does not have a fixed workspace and books seats temporarily when working away from their base location.

Behaviors:
  • Often books on short notice when needing office space.

  • May book for different locations depending on work needs.

  • Reviews and cancels bookings frequently based on availability.

Exploring Solutions

Exploring Solutions

Exploring Solutions

Crazy 8s & SCAMPER

Before settling on a direction, I collaborated with UXR team and explored multiple approaches to challenge early assumptions.

We reached out to PMs from other business units and key stakeholders to vote on the top 10 features.

Substitute manual browsing with system recommendations
  • Combine seat selection with team context and favorites

  • Adapt saved preferences across bookings and personas

  • Modify admin tables into spatial floor-map editing

  • Eliminate repeated inputs and unnecessary confirmations

These explorations helped me move beyond incremental UI tweaks and rethink how the system should behave.

Design Guidelines

Design Guidelines

Design Guidelines

Design Principles I Anchored On

Based on insights and exploration, I defined a few principles that guided the design.

System-led, user-controlled

The system should recommend, not dictate

Recognition over recall

Show context instead of making users remember it

Progressive disclosure

Advanced controls appear only when needed

Design for one, extend to many

Shared logic, role-based access. Separate flows for admins & employees in a single portal.

Design Solution

Design Solution

Design Solution

Select and manage seats with ease

I designed a three-step booking flow. Set preferences → Choose seats → Confirm booking

Preferences helps users to narrow down seats. Provided an option for auto-fill to reduce effort & time.

Preferences are remembered and reused, reducing repetition and aligning with efficiency of use.

Preferences are remembered and reused, reducing repetition and aligning with efficiency of use.

Preferences are remembered and reused, reducing repetition and aligning with efficiency of use.

Seat Selection That Explains Itself

Seats are grouped into:

  • Preferred seats, auto-assigned based on saved preferences

  • Recommended seats, shown only when preferred options aren’t available

  • My Corner, showing where teammates are seated

Made seats feel real with Floor Maps. I designed interactive floor maps that show real-time availability, integrated zoom and bird’s-eye views. I designed multiple iterations for "Choose Seats" screen, with compact cards. As the portal is new, we chose clarity over compactness.

This structure makes system logic visible and aligns with match between system and real-world behavior.

This structure makes system logic visible and aligns with match between system and real-world behavior.

This structure makes system logic visible and aligns with match between system and real-world behavior.

My Bookings & Self-Service

Employees can:

  • View bookings in table or tile view

  • Cancel bookings independently

  • Edit or remove seats before confirmation

This reduced dependency on admin intervention and supported user control and freedom.

This reduced dependency on admin intervention and supported user control and freedom.

This reduced dependency on admin intervention and supported user control and freedom.

My Corner & Favourites

I introduced My Corner, where users can:

  • See where teammates are seated

  • Manage a personal circle

  • Save favorite seats for faster future bookings

This acknowledged the social nature of office work without forcing it.

I experimented with two design approaches for this screen. The first used a modal for adding new members to “My Circle.” After evaluating usage patterns, we moved to an inline interaction to reduce cognitive load and interaction cost, aligning better with enterprise workflows.

This reduced dependency on admin intervention and supported user control and freedom.

This reduced dependency on admin intervention and supported user control and freedom.

This reduced dependency on admin intervention and supported user control and freedom.

Closing the Loop with QR-Based Check-In

Stakeholder interviews repeatedly surfaced concerns around no-shows.

I proposed a QR-based check-in flow, and we worked with engineering and facilities teams to align it with on-ground processes:

  • Users confirm physical presence by scanning a desk QR code

  • Seats not checked in can be released

This helped improve trust in utilization data without adding friction for users.

This helped improve trust in utilization data without adding friction for users.

This helped improve trust in utilization data without adding friction for users.

Admin Experience - Designing for Control & Scale

While employees interacted with a simplified interface, I designed a dedicated admin flow to absorb system complexity.

Admin Dashboard & Visibility

Admins get a high-level view of:

  • Total seats vs occupied seats

  • Booking types (Hybrid, Hot desk, Permanent)

  • Pending requests and trends over time

Filters are explicit and fetch-based to avoid performance issues.

Filters are explicit and fetch-based to avoid performance issues.

Filters are explicit and fetch-based to avoid performance issues.

Manage Campus & Configuration

I worked on flows that allow admins to:

  • Add or update campuses, buildings, and floors

  • Maintain consistency across locations

  • Support future expansion without redesigning the core flow

The floor map + side panel model allows precise control without losing context.

The floor map + side panel model allows precise control without losing context.

The floor map + side panel model allows precise control without losing context.

Seat Segregation & Floor Map Management

Admins can:

  • View and edit seat availability

  • Segregate seats by BU, ODC type, or availability

  • Update floor maps as office layouts evolve

Expandable and collapsable filters helps admin/ facilities team to use advanced filters

Expandable and collapsable filters helps admin/ facilities team to use advanced filters

Expandable and collapsable filters helps admin/ facilities team to use advanced filters

Scalability

Scalability

Scalability

Designed to Scale

While the experience feels simple for employees, it was intentionally designed to scale across organizational, operational, and technical dimensions.

Across organizational scale

Supporting LTI and Mindtree employees under a unified system

Across organizational scale

Supporting LTI and Mindtree employees under a unified system

Across organizational scale

Supporting LTI and Mindtree employees under a unified system

Across different seating policies

Hybrid, hot desk, and permanent seating rules are handled through system logic rather than separate experiences, reducing fragmentation and maintenance overhead.

Across different seating policies

Hybrid, hot desk, and permanent seating rules are handled through system logic rather than separate experiences, reducing fragmentation and maintenance overhead.

Across different seating policies

Hybrid, hot desk, and permanent seating rules are handled through system logic rather than separate experiences, reducing fragmentation and maintenance overhead.

Across a growing workforce

As employee strength increased post-merger, the system continued to support high booking volume without increasing cognitive load for users.

Across a growing workforce

As employee strength increased post-merger, the system continued to support high booking volume without increasing cognitive load for users.

Across a growing workforce

As employee strength increased post-merger, the system continued to support high booking volume without increasing cognitive load for users.

Across future change

The adaptive flow allows new policies or campuses to be introduced without redesigning the experience from scratch.

Across future change

The adaptive flow allows new policies or campuses to be introduced without redesigning the experience from scratch.

Across future change

The adaptive flow allows new policies or campuses to be introduced without redesigning the experience from scratch.

Reflection

Reflection

Reflection

What This Project Reinforced for Me

This project reinforced a few core beliefs

Systems should absorb complexity, not pass it on to users

Automation works best when it’s visible and understandable

Heuristics are most effective when applied quietly

Enterprise UX succeeds when human behavior is treated as a design input

Future Changes

Future Changes

Future Changes

What I’d Improve Next

If extended further, I’d explore

Fix all headings to Title case and improve UX writing

Smart reminders to reduce No Show: “Your booking starts in 30 mins - confirm arrival?”

Improve Admin Dashboard by providing cross-campus utilization insights

AI Booking Assistant, users just have to say - Book me a seat near my team on 25 Jan, 10 - 6.

Testimonials

Employees loved the portal so much, they started shouting it out on the company's social feed

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