Prime Video

Helping partners achieve lower operational dependence through self-service tooling

My Role
Design & Strategy Lead
thanks To
UX Designer 2 PMs 3 SDMs POM and many more
Timeline
Apr 2023 - Jan 2024

Context

Prime Video’s content partners were split across two fragmented portals, Video Central (1,651 managed partners) and Prime Video Direct (14,619 self-service partners). While these systems supported a rapidly growing global supplier base, they delivered an inconsistent and operator-heavy experience, earning only a 6% favorability score in a survey of 2,300+ partners, significantly trailing industry benchmarks.

My focus

End-to-end design strategy across partner content operations and self-service tooling, research, design system governance, roadmap influence and cross-org stakeholder alignment across 12+ product areas.

End-to-end design strategy across partner content operations and self-service tooling, research, design system governance, roadmap influence and cross-org stakeholder alignment across 12+ product areas.

this is a test

Results

Revisiting the success metrics

+6

Successful completion of six sessions mobile during testing.

4.7

Achieved a T4W CSAT of 4.7 post launch.

Outcomes

Success metrics

-67%

Goal: -50%
Average list price of $16.58.

+203

Goal: +150%
Additional group experiences added.

+38bps

Goal: +28bps
Increase in traffic and booked sessions

86 NPS

Goal: +150%
Enhanced customer experience

Outcome

50K+

global content partners consolidated onto one scalable partner experience.

43%

decrease in partner over-reliance on POMs.

~95M

annual savings by reducing duplicated workflows and support escalations.

1.2

increase in CSAT score from partner satisfaction surveys after launch.

Outcome for IES for Amazon

fill in metric

global content partners consolidated onto one scalable partner experience.

fill in metric

over-reliance on POMs.

fill in metric

annual savings by reducing duplicated workflows and support escalations.

fill in metric

increase in CSAT score from partner satisfaction surveys after launch.

Success Criteria

There will be two key criteria to measure the success of this feature.

1+

Successful completion of more than one session on mobile.

4.5

Achieving a T4W CSAT of 4.5 in 3 months post launch.

Defining Goals

Measuring our success with group experiences

50%

Price reduction for experiences.

+150

Additional group experience

+280bps

Increase in traffic and booked sessions

80nps

Enhanced customer experience

The Journey

I will take you through my design process for:
1. Detail Pages
2. In-Session Experience:
  • Desktop (customer)
  • App (host)

Final Designs

Homepage
Catalog Management

Areas of Ownership

this is a test

Explore Marketplace

This included the Explore storefront, search, filters and detail pages.

Pre-Session

Helping customers get ready for their livestream with a dedicated detail page.

In-Session

Entering into a livestream via mobile device browser from the detail page.

Post-Session

Storing customers photos and purchased items after their live session.

Problems

this is a test

Customer Survey

From a launch survey, 78% of customers would "love to experience this. with friends and family"

Price

Private experiences have also come at a premium price, making them too expensive for customers (62% of responses).

Seller Growth

The 1:1 nature of Explore has also restricted seller growth

Why?

1. Low Conversion on Mobile

Conversion on mobile was .56% compared to 1.71% on Desktop. A key reason is not being able to consume experiences on mobile devices.

2. Traffic

76%+ of all Explore traffic came from mobile (mWeb and mShop).

3. Post-session survey

58% of survey respondents indicated they would like to consume experiences on a mobile device.

Understanding the problem

1. LEARN
Find out how customers use and interact virtually

Seeing the both the issues and stresses related to virtual dating will help provide insight into problems and possible solutions.

2. DEFINE
Understanding target market

This will help find what motivates and frustrates users. By identifying the target market will help to better understand and deliver a tool to fill users needs.

3. DESIGN
Building a solution

From our findings we can start to evaluate and build a product to fill those needs.

4. TEST
Validating the designs

Determining the success of the tasks that will include defining certain metrics(KPIs).

The Problem(s)

Prime Video had two partner portals(VC and PVD) that didn't talk to each other, served different partners in different ways and left a very frustrating experience. Managed partners relied on Amazon operators for basic data requests. Self-service partners worked around the platform rather than through it. These gaps included (but are not limited to):
Partner Satisfaction

In a survey participants favored Netflix (30%) and iTunes Connect (28%). We lag competitors in reporting, real-time publishing status, and self-service troubleshooting. YoY: portal tech capabilities (-6.6%), reporting (-6%), tech support (flat).

Disparate Partner Portals

There exists limited feature parity between the two portals forcing VC partners to create and manage a separate PVD account to meet their business needs.

Over-Reliance on Operators

Managed partners primarily rely on Partner Operations Managers (POMs) to retrieve data on the health and publishing status of their PV catalog. A study survey indicated that 28.1% of POM’s time was spent on title level escalations

Video Central(VC)
Prime Video Direct(PVD)

Business Opportunity

With 16K+ partners generating $14B annually, unifying the legacy platforms into Prime Video Slate represents an estimated ~$130M opportunity by reducing duplicated workflows, minimizing support escalations and decreasing over-reliance on POMs across the partner ecosystem.

Issues

Limitations for mobile consumption.

Amazon App (mShop)

  • Cannot launch an Explore experience directly from the Amazon App (mShop).
  • Cannot link directly to outside browser or give direct content redirecting customer from browser to mShop (legal).

Supported Devices

  • Operating Systems Supported - iOS & Android.
  • Browsers Supported - Chrome and Safari.
  • Tablet Models and Makes Supported (future).

Partner Ecosystem

Constraints

Fragmented Vision

Six-plus engineering teams with separate roadmaps and OKRs, and no single accountable thread for the new partner experience roadmap.

Misaligned Experiences

Two portals on separate tech stacks with different data sources running 5 different design systems. Partners and internal operators weren't seeing the same information.

Limited Visibility

Almost no insight into the competitor platforms partners were actively benchmarking us against.

What I did

This was an opportunity to help align teams, so I organized a two-day workshop in New York with our MGM+ partners. The insights we gathered helped us test assumptions, uncover opportunities and benchmark against competitors. Ultimately shaping our vision and laying the groundwork for the Voice of the Partner (VP) program.

Adding Structure

Leveraging the data gathered from partner research, I collaborated with internal teams and stakeholders to design a sitemap for the redesigned partner experience.

Adding Structure

Leveraging the data gathered from partner research, I collaborated with internal teams and stakeholders to design a sitemap for the redesigned partner experience.

Strategic Decisions

Three paths were evaluated:
1. Improve each portal independently
2. Merge into one
3. Build a unified platform with adaptive experiences by partner type

Working with stakeholders, and after some iterations, I redesigned a north star vision around the third option. One platform, one data source, one design system, but experiences that flex based on partner preferences.

Problem Focus

Following the initial partner working group, I conducted workflow analysis and identified a systemic bottleneck: the “Add Title” ingestion flow accounted for the majority of partner time expenditure and disproportionate POM involvement. Based on these findings and cross-functional alignment, we prioritized re-designing this experience as a core focus area in the new platform consolidation roadmap.

Add Title Explorations

Partners experienced severe frustration within the add title workflow, with unclear system state and fragmented navigation across legacy surfaces, resulting in increased task time and support dependency. To address this, I designed and iterated multiple directions with engineering and product, evaluating platform constraints and technical debt and narrowed to two viable approaches for partner testing and validation.

Exploration 1 - Inset Steps
Exploration 2 - Hub

Failed Assets

Within this workflow, I dove deeper into failed asset ingestion issues, identifying a lack of clear error states, root causes and notifications that drove heavy reliance on POMs. I explored and designed in-context error surfacing and remediation patterns to improve transparency without increasing cognitive load while keeping scalability in mind.

Exploration 1 - Hub Message Center
Exploration 2 - Hub Notifications

Failed Consensus

During early validation, I identified cross-team misalignment introducing fragmentation into the MLP roadmap. I established a cross-functional team(composed of stakeholders across the relevant orgs) as a structured feedback loop to centralize input, align on direction, validate assumptions and accelerate coordinated testing with PV partners.

Testing Results

Cognitive Overload

Testing revealed notification overload in the Hub Message Center, where high-volume uploads generated stacked, non-prioritized alerts, obscuring critical errors versus warnings and increasing partner time-on-task and remediation friction.

Poor Transparency

Error notifications surfaced highly technical system states without actionable remediation guidance, creating ambiguity and driving partner dependency on manual support for content clarification.

Workflow Friction

Issues arose when failure notifications are disconnected from the core task flow, increasing fragmentation, time-on-task and support dependency.