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Google Food Search

 

 Google’s Food Search

Within Google Search, food queries are the second highest search volume across Google’s products and make up 3% of total web queries. The goal of Food Search in 2021 was to create an entirely new immersive experience for hungry users that both reflects the vibe of food & restaurants while empowering users to make more confident food decisions. We focussed our attention on a brand new landing page for users in Google Search that fostered curiosity cross-platforms and inspired users to explore places, discover dishes and ultimately connect businesses with their local food community.

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MY ROLE

As UX Lead on this project I led various work streams, collaborated with VPs and stakeholders, managed+3 designers and over 10 engineers. This included spearheading ideation, cross-functional concepting, strategic roadmap planning, design & prototyping - keeping the team aligned and garnering trust and team buy-in as we headed into a series of staggered LEs which culminated in the final product.


User Problems

“What’s for dinner?” It’s that age old questions, the one we dread especially after a long day of work, we have no good ideas and finding inspiration for something new is hard. So…we tend to fallback on those 3-5 places we ALWAYS dine from. When it comes to food ordering alone we know that:

 
  • ~75% of orders include something from a past order

  • ~50% of users know the place they’ll order from

  • 25% know the exact dish they’ll order

 

So this confirms that there is an ease and comfort in sticking with what you know.

If we’re feeling ambitious (or are just reeeeeeally bored of our go-tos) finding key menu information required a lot of effort tapping in and out of business profiles. There leaves room for a more snackable way to get the gist of what’s good at a place.

And since menu & dish info is a top user need, these insights felt quite concerning. How could we move more crucial data and place info higher up the funnel - to reduce friction and make the food search experience more efficient?

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Product Problems

Across our Search E2E flows we uncovered key moments and opportunities to improve the experience - from entry points on the main search results page SRP to improved engagement on the local dining immersive and map view;

And while having a singular framework has benefited Google to scale for wide array of intents (from restaurants to gas stations and plumbers) we wanted to provide users with a more bespoke food search experience.

There was a strong risk for disintermediation for food queries as we’re seeing more and more users reach directly for specialty food apps (the same way users moved from Google to Amazon for shopping needs) We asked ourselves “what can we learn and leverage from these native food experiences?” Things like …


Goal

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User Intents & CUJs

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Principles & Opportunities


Final Design for Phase 1

 

A reimagined dining immersive which offers users a more visceral food-first framework. Here users will experience a single, sticky destination that reflects the vibe of food, and helps them make more confident decisions about what or where to eat through a series of projects like:

  • Fun and visual food refinements to help users get crisp and bolster excitement

  • Enhanced place tab and place card view, for more generous image-rich browsing

  • A unique and new dish tab, for food first browsing and easy comparison.

  • A powerful revamped map, with deeper place insights and traversal interaction.

 
 

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Strategic Focus

When it comes to our Phase 1 efforts we’re choosing to really nail these 3 focus areas; building a solid foundation for the immersive (table steaks, map, all entry points from SRP) , our first launch of a Dish Search experience (differentiator for Google, food search starts with a craving, find food the way you think about food), and lastly “Decide & Compare” (updating the way we present results to help users cross evaluate, break a tie, and make a confident decision.)

 

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Framework, IA & Entry Points

 

Aside from “dish search” we are also leaning deep into food refinements, these will be more visual and speak to the senses, (eventually scaling up to rerank contextually) where as the more operational refinements will live as chips.

 

ENTRY POINTS

 

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Phase 1 Impact

+143.87% ForagerRestaurantTileClicks

+15.24% Pages with Homepage Restaurant Result Clicks

+0.19% MCCFoodOrderingToGo (Session)

+1.63% ForagerHomePageImpressions

+7.33% Choose provider page impressions

4.74% Dish tile click rate

+15.9x Search this Area interactions

 

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Proposal for Phase 2

This subsequent phase, builds upon the foundational framework established in Phase 1. We sought to uncover new exploratory enhancements for Food Search, to better assist curious users who are looking for ideas and inspiration - whether from issuing broad queries or pivoting away from specific queries. Key initiatives included;

  • Make it…contextual
    Help users sift through the noise and discover food relative to their situation

  • Make it…inspirational
    Offer image-rich and snackable sets of recommendations

  • Make it…mine
    Help reduce user friction by curating personal experiences

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Make it…contextual · Time of day

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Make it…contextual · Query

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Make it…inspirational

Mashups

With around half of our users landing in Food Search via broad queries like “restaurant” or food” - is a single ranked list of places the best way to aid them in discovery? For broad queries, we can flex the framework of Food Search but displaying a heroic tout region atop results. Here we can show inspiring imagery and upsell contextual “mashup” search suggestions. These “mashups” would be a mix of curated and algorithmically generated combinations that mash together 2 filters (ie. chinese + group friendly) and slap on a pithy name (ie. Yin and Yum.) Past attempts at using a similar interaction pattern in a trial Dogfood app home screen yielded a 56% CTR. 

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Make it…mine

We’re also proposed looking into ways to fold in personalization into product. Everything as simple as warm welcome, to more involved preferences, and scaffolding easy access to go-tos.