Yieldmo

Yieldmo : YM Platform

A NET NEW industry-leading AI-based multi-user web platform allowing users to optimize under-performing inventory to gain higher KPIs and revenue.

DURATION: 8 months to Seller Whitelist Beta

Value-add tasks:

cookieless ad-serving
promote recommended deals
deal creation
deliver ai-driven insights
troubleshooting
supports Seller, Buyer, & Agency tasks
real-time performance results
state-tracking

Some work cannot be shown due to IP restrictions and/or potential future implementation strategy.

Director of Product Design

Duration: 8 months to Whitelist Beta

Ownership:

UX
UI
Product Research (VP of Product handled user research as they are am SME as well)
Content (co-owner with Sales and VP of Product)
Strategy (co-owner with VP of Product)

Stakeholders

Internal user groups / SMEs
Engineering (FE / BE / Architect) / QA / Test, multi-geo teams)
Product Owners
Data Sciences
Managers
Directors & VPs

I had many challenges and a very short runway to manage.

Resources

Human resources were tight so we had to make sure we took a thoughtful phased-in approach that weighed prioritized user tasks, shared components, and common task flows.

Release schedules

We had 8 months to create a working alpha.

Evaluations

Quickly and efficiently evaluate products, users, tasks, structure, and strategy

Communications

Ensure all Stakeholders are available to review milestone stages.

Create a unified platform suite approach for home-grown tooling serving both internal and external users, addressing the foundational user pain points identified.

Live asset (ad) performance
Ease of asset creation
Inventory assessment based on timely trends and assets
Ease of real-time asset adjustments based on real-time performance
Surfacing curated deals based on goals, assets, and projected performance.

1. Understand the e2e process

At the highest level, an asset is created based on specific data points, served into an availability (DSP) environment, is bid on, is served to consumers for impressions, and performance analyzed.

2. Map the internal and external systems involved

There are a number of external data repos and data transforms that need to be ported into the platform's overall performance analytics.

3. Identify Users and tasks

We had 2 user groups: Sellers and Buyers.

For V1 we targeted Yieldmo Admins and Sellers and their roles and tasks. V2 would be building out the Buyer platform.

Seller:

Admin
User

Yieldmo:

Admin (Account Rep)

Buyer:

Admin
User

3. Wireframe brainstorming

We needed to be both fast and agile based on the short runway. The CPO focused on the Seller Users, while I focused on the products and architecture with Engineering.

We had wireframing brainstorming sessions that drew on both her SME experience as well as her key user interviews. We also had to grok the information architecture in order to start developing the navigation that would govern the flows.

Marketing demo flow

This represents a small part of the full complement of functionality of the Seller Platform.

Yieldmo Admin overlay (purple background) on Seller screens allowing for account administration without excessive Engineering labor, and represinting data in context. (static screen)

Sellers can create their own ads in a matter of minutes, based on company goals and real-time exchange performance.

In the past, it could take a week or more to request an ad and have it delivered from Development (based on request volume).

Yieldmo : YM Platform

A NET NEW industry-leading AI-based multi-user web platform allowing users to optimize under-performing inventory to gain higher KPIs and revenue.

DURATION: 8 months to Seller Whitelist Beta

Value-add tasks:

cookieless ad-serving

promote recommended deals

deal creation

deliver ai-driven insights

troubleshooting

supports Seller, Buyer, & Agency tasks

real-time performance results

state-tracking

Director of Product Design

Duration: 8 months to Whitelist Beta

Ownership:

UX

UI

Product Research (VP of Product handled user research as they are am SME as well)

Content (co-owner with Sales and VP of Product)

Strategy (co-owner with VP of Product)

Resources

Release schedules

Evaluations

Communications

1. Understand the e2e process

At the highest level, an asset is created based on specific data points, served into an availability (DSP) environment, is bid on, is served to consumers for impressions, and performance analyzed.

2. Map the internal and external systems involved

3. Identify Users and tasks

Seller:

Admin

User

Yieldmo:

Admin (Account Rep)

Buyer:

Admin

User

3. Wireframe brainstorming

The launch was very well received by the Sellers.

Enabling Sellers to curate their own inventory, coupled with real-time industry movement and trends to deliver better impression metrics was a game-changer. Whitelist users helped us massage the platform to release a next-level platform for our users.

Yieldmo : YM Platform

A NET NEW industry-leading AI-based multi-user web platform allowing users to optimize under-performing inventory to gain higher KPIs and revenue.

​

DURATION: 8 months to Seller Whitelist Beta

Value-add tasks:

cookieless ad-serving

promote recommended deals

deal creation

deliver ai-driven insights

troubleshooting

supports Seller, Buyer, & Agency tasks

real-time performance results

state-tracking

Director of Product Design

Duration: 8 months to Whitelist Beta

Ownership:

UX

UI

Product Research (VP of Product handled user research as they are am SME as well)

Content (co-owner with Sales and VP of Product)

Strategy (co-owner with VP of Product)