Passive Fund Intelligence

Product Type:

Web App

Roles:

Junior Product Designer

Tools Used:

Figma

Time period:

07/2023 - 08/2024

Overview

I worked on the redesign of Passive Fund Intelligence, the company flagship product used by professionals involved in Index Rebalance trading.

 

The legacy product suffered from outdated UX and UI, inconsistent user flows, and technical limitations that made it difficult to scale or introduce new features. As a Junior Product Designer, I collaborated with a Senior Product Designer, two front-end engineers, and a backend engineer to modernise the interface, rebuild the information architecture, and create a more intuitive experience. The redesign introduced new dashboards, modular components, and a cohesive design system, improving user workflows and driving adoption across clients.

Role

Junior Product Designer

Team

1x Senior Product Designer

2x Front-End Engineers

1x Backend Engineer

Users

166 users December 2024 just before the redesign was launched → 339 users as of November 2025

Project Impact

Improved adoption and sales, modernised UI, and faster user workflows

Outcome & Impact

Monthly Repeated Usage Score: August 2024 → November 2025

1

Legacy product usage before the migration to the updated product.

2

Migration begins along with a new sales push. Product usage more than doubles.

3

Usage still being calculated for this month and on track to surpassing the previous month.

Project Start

Challenge

The legacy version of Passive Fund Intelligence had become difficult to maintain and extend. Inconsistent design patterns, outdated technology, and unclear user flows created friction for both users and the development team. Adding new functionality was time-consuming due to UI limitations and technical debt. Our challenge was to rebuild the platform from the ground up, improving usability, scalability, and feature flexibility while ensuring continuity for existing users.

Goals

  • Modernise the interface with a consistent design system.
  • Improve performance and scalability for future product expansion.
  • Streamline workflows for users performing complex index rebalance tasks.
  • Increase usability, adoption, and overall product satisfaction.
  • Enable engineers to deliver new features faster through modular components.

Constraints

  • Large redesign scope with many areas to modernise simultaneously.
  • Balancing user feedback, stakeholder priorities, and technical feasibility.
  • High workload across the team.
  • Introducing a new design system while maintaining visual consistency during transition.

Legacy Product

Main Issues

Navigation and Information Hierarchy

The product relied on horizontal rows of tabs to switch between modules and filters which blurred the line between navigation and data filtering.

User Experience Flow

The “Latest Data”, “Changes”, and “Timeseries” views were treated as filters rather than distinct analytical perspectives, which confused users about whether they were changing content or state.

Cognitive Load and Learnability

Analysts relied on internal guides to remember where to find certain metrics, indicating low discoverability.

Technical & Interaction Limitations

Static layout templates limited responsiveness and scalability.

  • Navigation mixed with filters, causing confusion between modules and datasets.
  • Filters presented as tabs made workflows unintuitive and non-linear.

Research & Discovery

  • Collaboration with analysts, client team and their analytics tools, and internal stakeholders helped me understand user goals and pain points.

Rebalance Analysts / Traders

User feedback sessions

  • Reported difficulty following old navigation and inconsistent component behaviour.

Prototype testing

  • Desired displays for deeper analysis and more control of filtering data.

Internal Engineers & Client Team

Design audits

  • Engineers needed modular, reusable components compatible with React to reduce future build time.

Regular sprint handoffs

  • Client team emphasised simplifying demos and onboarding flows.

Stakeholders

Interview sessions

  • Needed scalable layouts for new feature additions.

Design review sessions

  • Requested improved visual hierarchy for complex data tables.

Information Architecture and Feature Requests

  • The Research & Discovery phase helped us put together an IA and list of new features for the product:

User Flow / Information Architecture Overview

Rebalance Analysis

All Forecasts

Changed Forecasts

New Forecasts

Expired Forecasts

Corporate Actions

All Forecasts

Changed Forecasts

New Forecasts

Expired Forecasts

Ticker Analysis

Latest Upcoming

All Latest

Timeseries

All Forecasts

Insights

Required Feature / Component

User need it solves

All Forecasts Page

  • Allow users full a starting point for full customisation of results.

Improved / Added Filters

  • Users needed more custom filters incl. around region, event type, and time of forecast.

Conviction History

  • A way to show how the conviction for a forecast changed over time.

Aggregated USD and ADV

  • Show the total USD and ADV that is potentially available given a users current filters.

Ticker Analysis Page

  • A place to search by Ticker and have all data for that ticker displayed and filterable.

Insights Page

  • Somewhere for company produced Insight articles to be accessible.

Design & Iteration

  • Working closely with the Senior Designer, I contributed to the design of key interface components, dashboard layouts, and interaction patterns.
  • We collaborated in Figma using the new design system to ensure alignment across modules, while continuously testing prototypes with stakeholders and analysts.

Iteration highlights

  • Conducted weekly review sessions with engineering to validate component feasibility.
  • Rebuilt the data tables for scalability and dark-mode compatibility.
  • Simplified filter behaviour across modules for consistent UX.
  • Designed responsive layouts optimised for large datasets.

Design System & UI Improvements

Area

Update

Outcome

Typography & Spacing

  • Defined consistent typographic styles and hierarchy.
  • Improved readability across dense data screens.

Colour & States

  • Introduced accessible contrast levels and interactive states.
  • Enabled faster design iteration and developer implementation.

Components

  • Built modular components (tables, filters, tabs, panels).
  • Enabled faster design iteration and developer implementation.

UI Patterns

  • Standardised modals, dropdowns, and tab navigation.
  • Reduced cognitive load and improved user familiarity.

Examples of components designed for the updated app

Atoms / Components for Drop Down Menus

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Drop down searchbar

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Drop down heading

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Search selected

Top Navigation Bar

All Forecasts

Rebalance Analysis

Corporation Actions

Ticker Analysis

Insights

S

Prediction Date Selector

T-1

Prediction date comparison:

Date 1:

2023-12-18

-

Date 2:

2023-02-22

Default

T-1

Hover

Unselected

Hover over dates

Dates clicked

T drop down clicked

T drop down hover

T-1

Prediction date comparison:

Date 1:

2023-12-18

-

Date 2:

2023-02-22

Clicked

Date 1

2024-04-16

Date 2

2024-04-17

April 2024

S

M

T

W

T

F

S

1

1

2

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8

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1

1

1

1

Done

Prediction date comparison:

Date 1:

2023-12-18

-

Date 2:

2023-02-22

When T- Drop down is hovered

T-1

Prediction date comparison:

Date 1:

2023-12-18

-

Date 2:

2023-02-22

When T- Drop down is clicked

T-1

T-2

T-3

T-4

T-5

Custom

Tab Component

Default

All forecasts

Changed forecasts

New forecasts

Expired forecasts

Unselected

Hover

Selected

Hovering over tab

All forecasts

Changed forecasts

New forecasts

Expired forecasts

Selected other tab

All forecasts

Changed forecasts

New forecasts

Expired forecasts

Single Buttons - Download, Fullscreen, API Link

Default

Download

Hover

Default

Fullscreen

Hover

Default

API Link

Hover

Demand and Conviction Filter

Default

Demand & Conviction

Hover

Demand & Conviction

Default

Hover

Clicked

Filter on

Selected

Demand & Conviction

Demand & Conviction Filters

Conviction

Minimum

Maximum

0.1%

99%

Aggregate Adjusted Demand

USD

Absolute value

Minimum

Maximum

$-0.08m

$3438.71m

ADV

Absolute value

Minimum

Maximum

-14.22

27.90

Expected Adjusted Passive Demand

USD

Absolute value

Minimum

Maximum

$-0.08m

$3438.71m

ADV

Absolute value

Minimum

Maximum

-14.22

27.90

Clear all

Show 54 Results

Filter applied

Demand & Conviction

1

Ticker Analysis Searchbar

Default - (Reset t when clicking outside search box)

Hover

Clicked

Clicking ‘X’

Error message when ticker not found

Searchbar Drop Down

AAPL UW

NVDA UW

AMZN UW

TSLA UW

Default

TSLA UW

TSLA UW

TSLA UW

TSLA UW

Hover over option

AAPL UW

NVDA UW

AMZN UW

TSLA UW

Clicked on option

Default

Hover

Clicked

Aggregate Value Component

Adj. USD

Supply:

-$6180m

Demand:

$6180m

Default

Supply:

-$6180m

Demand:

$6180m

Hover

Default

Hover

Clicked

Clicked

Drop down hover

Examples of redesigned responsive page screens

1440px - Rebalance Analysis All Forecasts

Example of new feature (Conviction Timeseries Modal)

  • Users needed to see how forecast convictions change over time to help better understand what drives them and create a sense of trust and transparency.
  • Integrating it into the main table made the feature easily findable and did not impede user work flows.
  • The new design system helped easily create components and a modal in Figma that the engineering team could quickly bring into production.

Conviction button

Default

Hover

Hover over over graph icon

Conviction button within row

Default

Hover

Over over button

Over over graph icon

Modal when opened after clicking the Conviction Button

Timeseries view for:

AAPL US

S&P

2024.Jun.QIR

SP500 r+

Announcement date: 2023-12-11

Trade date: 2024-06-08

Prediction date (dd/mm)

Prediction date (dd/mm)

20-07

25-07

30-07

04-08

09-08

14-08

19-08

24-08

03-09

08-09

13-09

18-09

23-09

28-09

03-10

08-10

13-10

18-10

23-10

28-10

02-11

07-11

12-11

17-11

22-11

Latest

Prediction date:

2023-11-10

ADV Multiple:

-3.49m

Adjusted Demand:

-$8888.49m

Conviction:

79%

82%

Conviction (%)

100

90

70

60

50

40

30

20

10

0

Announcement

2023-12-11

First prediction

Modal in Action

Implementation & Launch

  • As part of the cross-functional team, I worked closely with engineers during sprint planning and design handoff.
  • I contributed to writing tickets, maintaining design documentation, and ensuring smooth collaboration between design and development.
  • This process included regular QA sessions, accessibility checks, and async design updates through shared Figma libraries.

Key Learnings

  • Learned how to work effectively with senior designers and engineers through agile sprints and clear documentation.
  • Improved at writing tickets, preparing specs, and translating design intent for development.
  • Gained experience designing within a shared design system and contributing new components.
  • Learned how to present design rationale, gather feedback, and balance business goals with user needs.
  • Learned to focus on incremental improvements while maintaining long-term design direction.

Passive Fund Intelligence

Product Type:

Web App

Roles:

Junior Product Designer

Tools Used:

Figma

Time period:

07/2023 - 08/2024

Overview

I worked on the redesign of Passive Fund Intelligence, the company flagship product used by professionals involved in Index Rebalance trading.

 

The legacy product suffered from outdated UX and UI, inconsistent user flows, and technical limitations that made it difficult to scale or introduce new features. As a Junior Product Designer, I collaborated with a Senior Product Designer, two front-end engineers, and a backend engineer to modernise the interface, rebuild the information architecture, and create a more intuitive experience. The redesign introduced new dashboards, modular components, and a cohesive design system, improving user workflows and driving adoption across clients.

Role

Junior Product Designer

Team

1x Senior Product Designer

2x Front-End Engineers

1x Backend Engineer

Users

166 users December 2024 just before the redesign was launched → 339 users as of November 2025

Project Impact

Improved adoption and sales, modernised UI, and faster user workflows

Outcome & Impact

Monthly Repeated Usage Score: August 2024 → November 2025

1

Legacy product usage before the migration to the updated product.

2

Migration begins along with a new sales push. Product usage more than doubles.

3

Usage still being calculated for this month and on track to surpassing the previous month.

Project Start

Challenge

The legacy version of Passive Fund Intelligence had become difficult to maintain and extend. Inconsistent design patterns, outdated technology, and unclear user flows created friction for both users and the development team. Adding new functionality was time-consuming due to UI limitations and technical debt. Our challenge was to rebuild the platform from the ground up, improving usability, scalability, and feature flexibility while ensuring continuity for existing users.

Goals

  • Modernise the interface with a consistent design system.
  • Improve performance and scalability for future product expansion.
  • Streamline workflows for users performing complex index rebalance tasks.
  • Increase usability, adoption, and overall product satisfaction.
  • Enable engineers to deliver new features faster through modular components.

Constraints

  • Large redesign scope with many areas to modernise simultaneously.
  • Balancing user feedback, stakeholder priorities, and technical feasibility.
  • High workload across the team.
  • Introducing a new design system while maintaining visual consistency during transition.

Legacy Product

Main Issues

Navigation and Information Hierarchy

The product relied on horizontal rows of tabs to switch between modules and filters which blurred the line between navigation and data filtering.

User Experience Flow

The “Latest Data”, “Changes”, and “Timeseries” views were treated as filters rather than distinct analytical perspectives, which confused users about whether they were changing content or state.

Cognitive Load and Learnability

Analysts relied on internal guides to remember where to find certain metrics, indicating low discoverability.

Technical & Interaction Limitations

Static layout templates limited responsiveness and scalability.

  • Navigation mixed with filters, causing confusion between modules and datasets.
  • Filters presented as tabs made workflows unintuitive and non-linear.

Research & Discovery

  • Collaboration with analysts, client team and their analytics tools, and internal stakeholders helped me understand user goals and pain points.

Rebalance Analysts / Traders

User feedback sessions

  • Reported difficulty following old navigation and inconsistent component behaviour.

Prototype testing

  • Desired displays for deeper analysis and more control of filtering data.

Internal Engineers & Client Team

Design audits

  • Engineers needed modular, reusable components compatible with React to reduce future build time.

Regular sprint handoffs

  • Client team emphasised simplifying demos and onboarding flows.

Stakeholders

Interview sessions

  • Needed scalable layouts for new feature additions.

Design review sessions

  • Requested improved visual hierarchy for complex data tables.

Information Architecture and Feature Requests

  • The Research & Discovery phase helped us put together an IA and list of new features for the product:

User Flow / Information Architecture Overview

Rebalance Analysis

All Forecasts

Changed Forecasts

New Forecasts

Expired Forecasts

Corporate Actions

All Forecasts

Changed Forecasts

New Forecasts

Expired Forecasts

Ticker Analysis

Latest Upcoming

All Latest

Timeseries

All Forecasts

Insights

Required Feature / Component

User need it solves

All Forecasts Page

  • Allow users full a starting point for full customisation of results.

Improved / Added Filters

  • Users needed more custom filters incl. around region, event type, and time of forecast.

Conviction History

  • A way to show how the conviction for a forecast changed over time.

Aggregated USD and ADV

  • Show the total USD and ADV that is potentially available given a users current filters.

Ticker Analysis Page

  • A place to search by Ticker and have all data for that ticker displayed and filterable.

Insights Page

  • Somewhere for company produced Insight articles to be accessible.

Design & Iteration

  • Working closely with the Senior Designer, I contributed to the design of key interface components, dashboard layouts, and interaction patterns.
  • We collaborated in Figma using the new design system to ensure alignment across modules, while continuously testing prototypes with stakeholders and analysts.

Iteration highlights

  • Conducted weekly review sessions with engineering to validate component feasibility.
  • Rebuilt the data tables for scalability and dark-mode compatibility.
  • Simplified filter behaviour across modules for consistent UX.
  • Designed responsive layouts optimised for large datasets.

Design System & UI Improvements

Area

Update

Outcome

Typography & Spacing

  • Defined consistent typographic styles and hierarchy.
  • Improved readability across dense data screens.

Colour & States

  • Introduced accessible contrast levels and interactive states.
  • Enabled faster design iteration and developer implementation.

Components

  • Built modular components (tables, filters, tabs, panels).
  • Enabled faster design iteration and developer implementation.

UI Patterns

  • Standardised modals, dropdowns, and tab navigation.
  • Reduced cognitive load and improved user familiarity.

Examples of components designed for the updated app

Atoms / Components for Drop Down Menus

Clicked

Unselected

Hover

Drop down searchbar

Text

Drop down heading

Drop down option

Unselected

Hover

Clicked

Drop down multiple selection option

Unselected

Hover

Clicked

Hover over selected option

Drop down divider

Drop down container (please set to hug)

Series Filter

Series:

MSCI DM

Default

Series:

MSCI DM

Hover

Default

Hover

Clicked

Series:

MSCI DM

Selected

Search...

Global

FTSE GEIS

MSCI EM

MSCI EM Enhanced

MSCI DM

MSCI DM Enhanced

GLOBAL RED

AMER

RUSSELL US

S&P

US TSM

US3000

US1500

EMEA

EURONEXT PARIS

EURONEXT AMSTERDAM

DAX

SIX

STOXX

FTSE UK

UK

APAC

TOPIX

Series:

MSCI DM

Drop down hover

Search...

Global

MSCI EM

MSCI EM Enhanced

MSCI DM

MSCI DM Enhanced

GLOBAL RED

AMER

RUSSELL US

S&P

US TSM

US3000

US1500

EMEA

EURONEXT PARIS

EURONEXT AMSTERDAM

DAX

SIX

STOXX

FTSE UK

UK

APAC

TOPIX

Series:

MSCI DM

Drop down selection

Search...

Global

FTSE GEIS

MSCI EM

MSCI EM Enhanced

MSCI DM

MSCI DM Enhanced

GLOBAL RED

AMER

RUSSELL US

S&P

US TSM

US3000

US1500

EMEA

EURONEXT PARIS

EURONEXT AMSTERDAM

DAX

SIX

STOXX

FTSE UK

UK

APAC

TOPIX

Series:

MSCI DM

Search hover

Search...

Global

FTSE GEIS

MSCI EM

MSCI EM Enhanced

MSCI DM

MSCI DM Enhanced

GLOBAL RED

AMER

RUSSELL US

S&P

US TSM

US3000

US1500

EMEA

EURONEXT PARIS

EURONEXT AMSTERDAM

DAX

SIX

STOXX

FTSE UK

UK

APAC

TOPIX

Series:

MSCI DM

Search selected

I

Global

FTSE GEIS

MSCI EM

MSCI EM Enhanced

MSCI DM

MSCI DM Enhanced

GLOBAL RED

AMER

RUSSELL US

S&P

US TSM

US3000

US1500

EMEA

EURONEXT PARIS

EURONEXT AMSTERDAM

DAX

SIX

STOXX

FTSE UK

UK

APAC

TOPIX

Search...

Global

FTSE GEIS

MSCI EM

MSCI EM Enhanced

MSCI DM

MSCI DM Enhanced

GLOBAL RED

AMER

RUSSELL US

S&P

US TSM

US3000

US1500

EMEA

EURONEXT PARIS

EURONEXT AMSTERDAM

DAX

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FTSE UK

UK

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Divider

Divider

Divider

Divider

Divider

Divider

Divider

Divider

Divider

Divider

Series Drop Down Menu Rebalance Analysis + Set Default Series

Search...

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MSCI DM Enhanced

GLOBAL RED

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US1500

EMEA

EURONEXT PARIS

EURONEXT AMSTERDAM

DAX

Default

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FTSE UK

UK

APAC

TOPIX

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Default

Search...

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FTSE GEIS

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MSCI DM

MSCI DM Enhanced

GLOBAL RED

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RUSSELL US

S&P

US TSM

US3000

US1500

EMEA

EURONEXT PARIS

EURONEXT AMSTERDAM

DAX

Default

SIX

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FTSE UK

UK

APAC

TOPIX

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Hover

Search...

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Top Navigation Bar

All Forecasts

Rebalance Analysis

Corporation Actions

Ticker Analysis

Insights

S

Prediction Date Selector

T-1

Prediction date comparison:

Date 1:

2023-12-18

-

Date 2:

2023-02-22

Default

T-1

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Unselected

Hover over dates

Dates clicked

T drop down clicked

T drop down hover

T-1

Prediction date comparison:

Date 1:

2023-12-18

-

Date 2:

2023-02-22

Clicked

Date 1

2024-04-16

Date 2

2024-04-17

April 2024

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Prediction date comparison:

Date 1:

2023-12-18

-

Date 2:

2023-02-22

When T- Drop down is hovered

T-1

Prediction date comparison:

Date 1:

2023-12-18

-

Date 2:

2023-02-22

When T- Drop down is clicked

T-1

T-2

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T-4

T-5

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Single Buttons - Download, Fullscreen, API Link

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API Link

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Demand and Conviction Filter

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Demand & Conviction

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Demand & Conviction

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Demand & Conviction

Demand & Conviction Filters

Conviction

Minimum

Maximum

0.1%

99%

Aggregate Adjusted Demand

USD

Absolute value

Minimum

Maximum

$-0.08m

$3438.71m

ADV

Absolute value

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Maximum

-14.22

27.90

Expected Adjusted Passive Demand

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Demand & Conviction

1

Ticker Analysis Searchbar

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AAPL UW

NVDA UW

AMZN UW

TSLA UW

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Aggregate Value Component

Adj. USD

Supply:

-$6180m

Demand:

$6180m

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Supply:

-$6180m

Demand:

$6180m

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Examples of redesigned responsive page screens

1440px - Rebalance Analysis All Forecasts

Example of new feature (Conviction Timeseries Modal)

  • Users needed to see how forecast convictions change over time to help better understand what drives them and create a sense of trust and transparency.
  • Integrating it into the main table made the feature easily findable and did not impede user work flows.
  • The new design system helped easily create components and a modal in Figma that the engineering team could quickly bring into production.

Conviction button

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Hover

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Conviction button within row

Default

Hover

Over over button

Over over graph icon

Modal when opened after clicking the Conviction Button

Timeseries view for:

AAPL US

S&P

2024.Jun.QIR

SP500 r+

Announcement date: 2023-12-11

Trade date: 2024-06-08

Prediction date (dd/mm)

Prediction date (dd/mm)

20-07

25-07

30-07

04-08

09-08

14-08

19-08

24-08

03-09

08-09

13-09

18-09

23-09

28-09

03-10

08-10

13-10

18-10

23-10

28-10

02-11

07-11

12-11

17-11

22-11

Latest

Prediction date:

2023-11-10

ADV Multiple:

-3.49m

Adjusted Demand:

-$8888.49m

Conviction:

79%

82%

Conviction (%)

100

90

70

60

50

40

30

20

10

0

Announcement

2023-12-11

First prediction

Modal in Action

Implementation & Launch

  • As part of the cross-functional team, I worked closely with engineers during sprint planning and design handoff.
  • I contributed to writing tickets, maintaining design documentation, and ensuring smooth collaboration between design and development.
  • This process included regular QA sessions, accessibility checks, and async design updates through shared Figma libraries.

Key Learnings

  • Learned how to work effectively with senior designers and engineers through agile sprints and clear documentation.
  • Improved at writing tickets, preparing specs, and translating design intent for development.
  • Gained experience designing within a shared design system and contributing new components.
  • Learned how to present design rationale, gather feedback, and balance business goals with user needs.
  • Learned to focus on incremental improvements while maintaining long-term design direction.