AI Suggestions in Search Boosted Engagement by +104% Mountain View, CA

IMPACT

2X

Repeat Weekly Usage of Search

+104%

Increased Engagement with Search

TIMELINE

TEAM

3 Months

1 Product Designer (me)
Reporting to Staff Product Designer

1 Product Manager
1 Content Designer
6 Engineers

CONTEXT / PROBLEM

Intuit QuickBooks ( QuickBooks Logo ) is a financial management software that helps 6M+ businesses do accounting, payments, payrolls, timesheets etc.

it does a lot.

but to a small business owner,

accounting is hard
(and full of jargon)

Search ties it all together.

The Global Search allows customers to quickly look into their transactions and contacts

Yet: New users repeatedly claimed “feeling lost”

11%

of total search queries fail using the Global Search

13M+

weekly search queries resulting into “no results

180K

weekly search queries containing words like "how to," "how do," "delete," "undo”, etc

DATA INSIGHT

Because while Search was a great place to ‘Find’ transactions,

New users were also seeking Search for

‘navigation’

Where do I add new employees?
Where is my tax filing form?
Where is my P&L statement?

leading to dead ends.

‘help’

file my taxes with Quickbooks?
setup payroll for my employees?
get expert help for my books?

THE ASK

BUSINESS GOALS:

  • boost engagement in Search

  • push in-product upselling

  • reduce time-to-action per user

With new Natural language Search capabilities, how might we:

Make our users feel guided in Search, in simple and personalised ways

EARLY CONCEPT

To cut through the jargon --> suggest relevant actions

Like your favourite waiter suggesting what you’d like from the menu.

FREE-FORM DESIGN

I went around San Jose markets and clicked pictures of “suggestive” experiences in-real-life

+20 other signboards

So I proceeded to think:

But — What makes a good suggestion?

AHA !

It turns out,

A suggestion is only a “suggestion” if it’s relevant and not pushed too hard.

Much else is an “ad (we hate ads — they’re annoying)

ANATOMY OF A SUGGESTION

SHIPPED DESIGN

DESIGN CHALLENGES

Its expensive to keep triggering a recommender system

Solve:

Intentional skeleton delay while the user is mid-typing

  1. Save costs by not running the recommendation engine while the user is mid-typing

  2. Make recommendations feel personalized and ‘calculated’, not preloaded ads

Too many suggestions overwhelm and make upsells “feel like an ad”

Solve:

Never more than 3 suggestions in the dropdown

People can’t process much beyond 3 options.

This ensures that each suggestions provide genuine value - and helps beat the suggestions feeling like advertisement / annoying upsells.

Getting ‘expert help’ is highly correlated to long-term retention

Solve:

People like to see faces

Doing so made users more likely to click on ‘Expert Help’.

We shipped it in phases:


SHIPPING TIMELINE

Here’s the number of users this will be rollout out to:

30K customers

Nov 2024

increase in Customer Engagement Score (CES) for Search

Repeat Weekly Usage for Search

*

>

IMPACT SO FAR

104 %

~2X *

Also attributed to other major reforms in search: most notably, exposing the full search bar (previously just a button)

6.4M customers

Q2 2025

What is CES (Customer Engagement Score)?

CES is a measure of actions taken by the user in-product, linked with engagement and retention.

What is RWU (Repeat Weekly Usage)?

Repeat weekly usage indicates people who used Search once and then used it again in the next week. linked with retention.

Doubling it means double the people are using Search again (weekly) than before.

300K customers

Q1 2025

>

30M+ Weekly Search queries

a love letter to ‘Search’

Learnings from Dev walkthroughs

REFLECTIONS

Search is SO beautiful.

Working on this project had me think very deeply about Search interfaces.

We’re searching all the time. For a friend in a crowd, our car keys around, a budget meal nearby, or a photo lost to memory. Search interfaces are the ultimate capture of intent - almost like a wishbox.

With much of the future of the internet moving towards AI, it feels so fitting that people will get to express what they’re looking for in free form. Search makes our curiosities tangible. Im so glad I got to work on this, of all the things.

  • Save Devs HOURS by teaching them key Figma shortcuts

  • Once you have a design, Devs are your next customers

  • Be in their proximity. Sit with them.

FEEDBACK ACROSS PARTNERS

Jen, who I reported to (Principal Product Designer) and me 
@Figma Config 2024!