Live Shopping HELLO App

I led the design of HELLO, a social commerce platform built from zero for a TV-first retailer. It reached 60M+ viewers in Germany, 5,000+ live shows, and 300+ creators. The brand was discontinued after three years. The behavioral loop it proved is still running inside HSE's core platforms.

Overview

HELLO was built to help a TV-first retailer become creator-led and mobile-first. I led Design from concept to scale across three teams: the consumer app, the creator streaming app, and the service partner platform.

Live Shopping HELLO App
Consumer app, creator app, and partner portal: one behavioral loop across three products.

My direct contribution: hands-on Designer

Discovery + Conception + V1

  • Sole designer from day 0: owned the full concept
  • Ran discovery: user interviews, competitive analysis, behavioral hypothesis
  • Designed the navigation and core UI for V1
  • Built and tested prototypes with real users to validate the creator discovery loop
  • Created scenario-based concepts and trade-off presentations for board approval
  • Made the build vs buy recommendation for the livestream player, with UX and technical rationale

Team & collaboration

Scale + Post-launch

  • Led design strategy across 3 product teams: consumer app, creator app, and partner portal
  • Set direction and owned cross-team trade-offs and high-risk decisions
  • Ran weekly critique cadence and quality gates across teams
  • Maintained consistency across all three products: consumer app, creator app, and partner portal
  • Tracked adoption, engagement, and retention: follow rate, stream frequency, and return visits

Duration: 2020 to 2024. Products: consumer app, creator streaming and academy app, service partner management app.

Impact

I led the design of HELLO, which scaled to:

60M+ viewers reached in Germany
5,000+ live shows shipped on the platform
2.3× higher return likelihood for creator followers

The Problem

HSE relied heavily on teleshopping, serving a loyal but aging audience. TV viewing was declining, younger audiences discovered products via creators, and HSE’s web and app were conversion-focused, not engagement-focused.

The question was simple: could we translate live selling into a digital-native product that drives repeat usage without damaging the core business?

TV viewership is declining
TV viewing time has been declining for years, making a digital-first growth model critical. Source: Statista

The Hypothesis

If we combined creator-led entertainment with clear commerce intent, users would build habits around specific creators and return for their streams.

Two competing assumptions shaped early decisions. The first: that content volume alone would drive return behavior. The second: that HSE's existing audience wanted product-first browsing, not creator-led entertainment. Both turned out to be partially wrong. Users returned for creators they trusted, not for content in general, and not for product discovery. That finding reshaped what we optimized for: follow became the metric, not time-in-app.

How I Led

This project had two distinct modes. Pre-launch, I worked as the sole designer: individual contributor, hands-on, accountable for every pixel and decision. Post-launch, I shifted to design lead across three product teams.

Pre-launch: hands-on design

Post-launch: Led the team

Key Decisions

1. Recorded replays instead of a delayed launch

Early livestream supply was limited. Empty sessions kill first-time experience. Two options were on the table: delay the launch until creator supply was higher, or fill gaps with recorded replays. We chose replays. Delaying would have pushed the learning timeline back by months with no user data. Replays kept the experience usable while supply ramped up, and let us learn which content types users returned for on their own.

Recorded replays to prevent empty sessions
Recorded replays reduced dead hours and protected first-use quality.
2. Follow as the retention metric, not repeat purchase

The early assumption was that repeat purchase would be the retention signal. The data said otherwise. Users who followed at least one creator were 2.3 times more likely to return than users who bought but did not follow. That finding reframed the product. We were not optimizing for conversion rate; we were optimizing for habit. We redesigned creator profiles, added follow entry points at every logical moment in the journey, and made follow the primary metric the team reported against.

Follow feature
Follow became the main adoption signal and retention loop.
3. Livestream player evolution, build vs buy

We launched with a third-party player to learn fast. After validating demand, we built a custom player to enable better performance, multiple products, vouchers, and integrated follow.

Build vs buy trade-offs and player evolution
Build vs buy sequencing reduced risk and unlocked long-term capabilities.

How I Measured Success

Outcome

I led the design of HELLO, which proved the behavioral loop. Users who followed creators returned at 2.3 times the rate of those who did not. The UX assumption was correct.

The brand was discontinued in 2024. Marketing investment and assortment breadth did not scale to match what the product required. HSE’s brand perception set a ceiling on how far creator-led expectations could stretch. Leadership integrated the strongest features into the core HSE platforms. The social commerce capability continued without the HELLO brand.

Reflection

The behavioral loop worked. The commercial ecosystem around it did not scale in time. Those are two different problems, and only one of them was mine to own.

What I would do differently: treat the commercial commitments as a launch condition, not a post-launch assumption. A creator-led platform needs creator supply, category depth, and brand positioning to match the product experience. We validated the UX. We did not validate whether the rest of the business would follow. I should have named those dependencies explicitly in the C-level approval and forced a decision on them before we scaled.

The discontinuation was not a design failure. It was an ecosystem failure at scale. Naming that risk earlier, and making it a blocking condition rather than a stated hope, is what I would change.

Takeaway

A 0-to-1 product teaches you what you can and cannot control. I could design a behavioral loop that worked. I could not design the commercial ecosystem that needed to surround it. Both matter equally. Naming that gap earlier, and making it a condition rather than a hope, is what I would do differently.