Friendorsements

Friendorsements

In alcohol, preferences are highly personal and increasingly savvy shoppers are side-eyeing unsolicited recommendations if not paired with trustworthy endorsements. When spending their hard-earned coin for a tried and true libation, sans “tried”, the #1 factor in purchase decisions for casual night-cappers was a trusted source’s co-sign, “Friendorsements”, if you will.

More fun on desktop

Type:

Product Design, UX Strategy

Role:

Lead Product Designer

Timeline:

6 weeks

Team:

UX, Growth, Eng, Data Analytics

Read time:

4m

More fun on desktop

This tiny component is a Friendorsement…

It's essentially social proof with an ABV.

Just prior to this project I had undertaken a massive UI overhaul and a meaty algorithm-driven personalization, recommendations, and reviews feature launch.

So, be forewarned, there is not a lot of "design" in this project. Just incremental iteration via a social experiment. But there's certainly some discovery, deep diving, and excruciating alcohol puns.

It's just social proof with an ABV.

Prior to this project I had undertaken a massive UI overhaul and a meaty algorithm-driven personalization, recommendations, and reviews feature launch.

So, be forewarned, there is not a lot of "design" in this project. Just incremental iteration via a social experiment. But there's certainly some discovery, deep diving, and excruciating alcohol puns.

It's essentially social proof with an ABV.

Just prior to this project I had undertaken a massive UI overhaul and a meaty algorithm-driven personalization, recommendations, and reviews feature launch.

So, be forewarned, there is not a lot of "design" in this project. Just incremental iteration via a social experiment. But there's certainly some discovery, deep diving, and excruciating alcohol puns.

Breaking assumptions

Breaking assumptions

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Here's a brief SOTU: It's 2019, sales are flat, marketing costs are high, and vendors are grumbling about a low variance in product SKU's moving off their shelves.

Cute promos and social content about "interesting pairings" meant to be tongue in cheek likely weren't going to cut it.

But that was the ask.

I took a step back to ask some questions of my own, hoping to find out what truly underpinned user shopping behavior in the Saucey platform.

Via surveying and data digging, we debunked some closely held assumptions about how people seek and discover alcohol.

The best insight? Turns out they like their tried-and-true libations tried by friends or other trusted sources.

Recommendation engines were great at showing options that match purchases, but we wanted to replicate the social connective tissue that drives IRL discovery.

We refer friends to our favorite eateries, look to co-workers for new wines to sip, we let bartenders – the ultimate influencers – hold our sippable fates… If the paradigm not only exists in real life, but is the primary means of discovery – isn’t the natural solution obvious?


The concept itself is not new. We see it everywhere “likes”, “claps”, “Friends are listening to”, “ -– Apple Music, Medium, Facebook – they all leverage social proof expand engagement with content.

Why not consume-able products?

Beverage discovery is ripe for this kind of pattern because of its inherently social nature IRL, so I saw an opportunity to explore.

Enter friendorsements…

Here's a brief SOTU: It's 2019, sales are flat, marketing costs are high, and vendors are grumbling about a low variance in product SKU's moving off their shelves.

Cute promos and social content about "interesting pairings" meant to be tongue in cheek likely weren't going to cut it.

But that was the ask.

I took a step back to ask some questions of my own, hoping to find out what truly underpinned user shopping behavior in the Saucey platform.

Via surveying and data digging, we debunked some closely held assumptions about how people seek and discover alcohol.

The best insight? They like their tried-and-true libations tested by friends or other trusted sources.

Recommendation engines were great at showing options that match purchases, but we would have to replicate the social connective tissue that drives IRL discovery.

We refer friends to our favorite eateries, look to co-workers for new wine to sip, we let bartenders – the ultimate influencers – hold our sippable fates… If the paradigm not only exists in real life, but is the primary means of discovery – isn’t the natural solution obvious?


The concept itself is not new. We see it everywhere “likes”, “claps”, “Friends are listening to”, “ -– Apple Music, Medium, Facebook – they all leverage social proof and approval of friends to expand engagement with content.

Why not consume-able products?

In app beverage discovery is ripe for this kind of pattern because of its inherently social nature IRL, so I saw an opportunity to explore.

Enter friendorsements…

Here's a brief SOTU: It's 2019, sales are flat, marketing costs are high, and vendors are grumbling about a low variance in product SKU's moving off their shelves.

Cute promos and social content about "interesting pairings" meant to be tongue in cheek likely weren't going to cut it.

But that was the ask.

I took a step back to ask some questions of my own, hoping to find out what truly underpinned user shopping behavior in the Saucey platform.

Via surveying and data digging, we debunked some closely held assumptions about how people seek and discover alcohol.

The best insight? Turns out they like their tried-and-true libations tried by friends or other trusted sources.

Recommend–ation engines were great at SHOWING options that match purchases, but we wanted to replicate the social connective tissue that drives IRL discovery.

We refer friends to our favorite eateries, look to co-workers for new wine to sip, let bartenders – the ultimate influencers – hold our sippable fates… If the paradigm not only exists in real life, but is the primary means of discovery – isn’t the natural solution obvious?


The concept itself is not new. We see it everywhere “likes”, “claps”, “Friends are listening to”, “ -– Apple Music, Medium, Facebook – they all leverage social proof and approval of friends to expand engagement with content.

Why not consume-able products?

In app beverage discovery is ripe for this kind of pattern because of its inherently social nature IRL, so I saw an opportunity to explore.

Enter friendorsements…

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Connection & Control

Connection & Control

Initial efforts would focus feature explorations in four core areas:

Contextual Info Display

Face piles

"Recommended" text

In-flow
Guidance

Modals

Coaches

Surface Persuasive Activity

"Suli recommended…" "Davina likes"…

Users Given Control

Recommendation sharing controls

Anatomy of a Friendorsement; Only a single component needed to be created with 4 of 5 key ingredients to Friendorsements already implemented, requiring minimal refactoring.

Leave no design debt behind…

Minimum acceptance criteria for a social proof component: Be obvious, do not distract from product tiles, and since this was a test – mitigate the need for engineering to unravel recent work on recs and reviews.

Minimum acceptance criteria for a social proof component were: Be obvious, do not distract from product tiles, and since this was a test – mitigate as much as possible the need for engineering to unravel recent work on recs or reviews.

Minimum acceptance criteria for a social proof component were: Be obvious, do not distract from product tiles, and since this was a test – mitigate as much as possible the need for engineering to unravel recent work on recs or reviews.

Permission
Connection
Product
Review
Friendorsement

Anatomy of a Friendorsement; Only a single component needed to be created with 4 of 5 key ingredients to Friendorsements already implemented, requiring minimal refactoring.

Measure
& Test

Building test groups

  • Users who were active on the platform in the last 60 days

  • Had sent a gift or SAR to another Saucey user or someone who had become user as a result of receiving a gift.

  • Made a purchase that resulted in review. In order to satisfy the full anatomy of the Friendorsement.

A

Same Ol’ Saucey


This group given the unamplified Saucey experience

Same Ol’ Saucey


This group given the unamplified Saucey experience

B

Friend Boosted


Feature intro + Friendorsements on 3 key surfaces

Friend Boosted


Feature intro + Friendorsements on 3 key surfaces

Did we boost confidence w/ trusted sources?

• Adds to cart

• Conversions

Exploratory behaviors?

Compare purchase activity of A/B groups

Did we cover more SKU's in orders?

Measure variance of SKU’s viewed and purchased 

Expand cart value w/o cannibalizing.

Measure average cart values of A and B groups

Results

+9%

Increase in SKU

purchase variance

+11%

Increase in

Average Order Volume or + $16.96 in USD

+16%

Increase in conversions over a 28 day period

SOLUTION

Let's

📟

Talk

© 2088 Nayzak Design

Let's

📟

Talk

© 2088 Nayzak Design

Let's

📟

Talk

© 2088 Nayzak Design

SOLUTION