Case study · Eventogy

Event Management Platform

I joined Eventogy as founding designer in January 2024 to redesign their web application, starting from the initial MVP.

  • SaaS
  • UX Design
  • UI Design
  • B2B

Overview

The company

Eventogy is a comprehensive platform that assists event organisers in planning, executing and analysing events. It offers a suite of tools within a smart ecosystem, enhancing documentation and AI integration for a more user-friendly experience.

Client
Eventogy
Date
Jan 2024 – Feb 2026
My Role
Founding Product Designer
Company Website
www.eventogy.com
The Attendee list screen: a searchable table of event attendees with first name, last name, email, status and last-update columns, two rows selected with a bulk-action bar for sending email or updating status The Eventogy events dashboard: 'Welcome back, Lucas' with a grid of live event cards, search and a + Event button

Brief

Core principles and future goals

My role

I led the end-to-end design process, working closely with the Product Owner and Product Manager within a cross-functional team. As the founding designer, I built the product from the ground up and delivered a robust, well-documented design system.

Problem

The existing platform was limiting the team's ability to improve functionality and was overly complex for users, as it was initially designed by developers.

Objective

Revamp the outdated platform by integrating essential features and incorporating AI capabilities for the MVP, while making sure the redesign followed UX best practice and met high accessibility standards.

Process

AI in the process

This project started when most of these tools were brand new, so I treated them as things to test and compare rather than trust outright, alongside more everyday use for the work that sits around the screens themselves.

Prototyping in Figma Make and Google AI Studio

I built interactive prototypes in Figma Make, then tried the same flows in Google AI Studio to compare how each handled turning a design into something clickable.

Research and analysis with Gemini and OpenAI

Research and analysis work ran through both Gemini and OpenAI side by side, comparing their answers against each other rather than taking either on its own.

Image generation: Midjourney and OpenAI

I tested Midjourney against OpenAI's image tools for reference and placeholder content. Midjourney came out ahead for this project, so most of the generated imagery came from there.

AI for documentation and planning

Gemini handled setting up meetings and connecting with Google Workspace, plus organising user stories and research; OpenAI covered similar ground: research, user stories and general documentation for planning.

Personas

The users

  • Super admins

    B2B user: These users have full access to multiple features with a paid license. They are responsible for managing all their corporate events.

  • Admin user

    B2B user: Assists the Super Admin user by providing support with a free license, but has restricted and limited access to the platform.

  • Support

    Internal user: They provide support as admin users to clients in planning and managing events when challenges arise.

  • Attendee

    B2B2C user: These are attendees who participate in the event, engaging in surveys and live polls.

  • Plus ones

    B2B2C user: They are guests of the attendee and can only attend the event. They do not participate in live polls or surveys.

Strategy

Process overview

  1. Exploration

    I dedicated an entire week to using the existing product, gaining expertise in its functionalities and identifying challenges.

  2. Ideation

    Once I understood the platform, I organised and documented my findings, asking numerous questions to brainstorm ideas and validate my design suggestions.

  3. Design & validation

    I collaborated with the team to develop solutions, ensuring expectations and requirements were aligned. We validated these through design reviews and real user testing.

Exploration

Original product

The interface initially felt overwhelming, lacking a clear hierarchy to indicate the most important elements. Features were scattered throughout, added over time based on client requests without a scalable plan, resulting in a messy and chaotic product.

A page-flow map of the original platform: Dashboard, Event List, Cost Centre Management and Budget Approvers, each branching into a tangle of screens and edge cases

Discover

Design workshop

After reviewing the platform, I held a workshop with the support team. They were frustrated with faulty tools, often needing workarounds or manual coding. Some features were simple but time-consuming to fix, while others, like a website builder, posed significant challenges.

The workshop's prioritisation board: four columns (Bad, Good, Must have, Nice to have), each packed with sticky notes from the support team

Studied existing products

Challenges and constraints

Navigating the project wasn't always straightforward, and we faced several constraints that required careful decision-making.

Dev constraints

A key technical constraint was the save process. The back end initially required manual saves and did not support autosave. We kept this approach temporarily to evaluate user impact, then implemented autosave once it was clear the friction justified the change.

The user impact was read qualitatively from support and usage; no before/after number was tracked for this decision.

The real form-builder question editor, with a multiple-choice question and its Save/Cancel actions

Building within time constraints

Tight time constraints across research and development meant the design had to align closely with what could realistically be built in the available window, shaped around existing patterns and components rather than anything overly complex to implement. Instead of designing highly custom components, I worked with the existing data-table component to deliver a practical, scalable solution that met user needs while staying efficient for development.

The attendee list built on the shared data-table component: 1,023 attendees, two selected, with a bulk-action bar for email and status updates

Client guidelines & user permissions

Client constraints included strict brand colour palettes that had to stay consistent across event emails, the website and the iOS app, along with dynamic content that varied by country and user permission level. The answer was a single onboarding step where a client sets their palette and footer content once, used everywhere that brand appears.

The onboarding step for choosing a client's brand colour palette and footer content

MVP priorities

We prioritised the essential features for the MVP. The support-team workshop's "Must have" column became the build list, so attendee-facing essentials like live polls and event feedback shipped first, and everything else waited its turn.

Three attendee-app screens: a live keynote poll, its results with vote percentages, and an event feedback survey

Design

I developed mock-ups informed by my research findings.

I designed screens and explored multiple solutions, ensuring each met both user needs and business requirements. We conducted user testing with the internal team and real users through an online service to observe pain points and areas of struggle. To ensure consistency and smooth collaboration with developers, I created a comprehensive design system. This also helped guarantee the product was user-friendly, accessible, and aligned with established UX standards.

The Figma file: dozens of mock-up frames for attendee management, form templates, filters, profile screens and bulk actions laid out across the canvas

Validation

How we tested?

Prioritisation workshop

The internal support team sorted the existing product's problems onto a four-column board (Bad, Good, Must have, Nice to have), which set the MVP scope.

Design reviews

Proposed screens were reviewed with the Product Owner, Product Manager and wider internal team to align requirements before build.

Remote usability testing

Real users worked through the mocked-up flows via an online testing service, so pain points and areas of struggle could be observed before development.

Only the methods actually run on this project are listed. Participant numbers and session protocols weren't documented in enough detail to restate here.

Outcome

Final product

Here are some of the key screens from the platform.

Impact

Results

To evaluate the impact of the redesigned Eventogy platform, I used a set of standard, measurable UX and product metrics. These gave a clear view of how the new interface improved efficiency, reduced friction, and supported both users and the business.

Completion Time

Before
35 min
After
under 15 min

Tracks time to create events or complete key workflows; average time dropped from 35 min to under 15.

Success Rate

Before
10%
After
80%

Measures error-free, unassisted task completion, which improved from 10% to 80%.

Error Rate

45%

Counts mistakes in key workflows, showing a 45% improvement in user reliability.

Support Tickets

−67%

Measures support requests tied to confusing interfaces or workflows, down by 67%.

Accessibility

Before
45/100
After
95/100

Automated audit score against WCAG, rising from 45/100 to 95/100.

Design System

Before
35%
After
88%

Alignment with the new design language, with design consistency increasing from 35% to 88%.

User Satisfaction

Before
4/10
After
8.5/10

Self-reported sentiment on the redesigned experience, improving from 4/10 to 8.5/10.

Designer-tracked metrics from this engagement, not a third-party study. Error rate, support tickets and satisfaction have no documented sample size or measurement window beyond "before vs. after launch"; the accessibility figure is an automated audit, not a full manual conformance review; design consistency is my own tracked measure. Two further figures (adoption and onboarding) were 1–5 ratings rather than the measures their labels implied, so they're left out.

Portfolio

Explore additional projects

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