chatbots, conversational interfaces, and the rise of messaging platforms

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The Conversational Interface

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Page 1: Chatbots, Conversational Interfaces, and the Rise of Messaging platforms

The Conversational Interface

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Partner at Digital Intent and Founder Equity. Kellogg Professor. Very pale.

Hi.

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Product strategy, user experience design, web/mobile/bot development anddigital marketing under one roof.

Over 60 team members, with offices in Chicago, Dallas and Columbus.

#620 on the 2015 Inc. 5000, with over 735% revenue growth in 3 years.

An innovation team in a box.

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What

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Us learning how to interact with computers.

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Computers learning how to interact with us.

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Conversational

Interfaces

Bots

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Conversational

Interfaces

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Retrieval based models

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Generative models

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vs.

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Why

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Messaging apps have surpassed social networks.

3 billion users

2.5 billion users

Monthly actives for big 4 social networking apps vs. big 4 messaging apps. Source.

2012 2016

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1) Feels more personal than apps.

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“Language is the most powerful, useful, effective

communication technology ever, period.”

Source

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1) Feels more personal than apps.

2) More appropriate for many interactions.

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“I like the idea of not having to download an entire app.”

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0 Apps

1 App

2 Apps

3 Apps

4 Apps

5-7 Apps

8+ Apps

Most people download 0 new apps per month.

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“I actually prefer giving my information to a bot than a person

because there’s no judgment.”

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“Sometimes I don’t want to browse - I just want you to

tell me what to get.”

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“My kids text all day, but they don’t use email at all.”

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1) Feels more personal than apps.

2) More appropriate for many interactions.

3) Available wherever a user wants.

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“Conversational commerce is about delivering

convenience, personalization, and decision

support while people are on the go, with only

partial attention to spare.”

Source

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“Alexa, ask Uber to request a ride”

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I need to return an item.

I’m looking for a black cocktail dress.

Page 33: Chatbots, Conversational Interfaces, and the Rise of Messaging platforms

1) Feels more personal than apps.

2) More appropriate for many interactions.

3) Available wherever a user wants.

4) Can make non-experts experts.

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Messaging apps become the new home screen

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How

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Building a bot is easy. Building an intelligent

one is hard.

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Use a retrieval-based model (for now).

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Narrow the domain.

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“The challenge in plugging an AI into a

'conversational' chat bot interface is that you

don't have HAL 9000 but are in some sense

pretending to the user that you do.”

Source

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Spend a lot of time error handling.

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“When it comes to interactions with bot,

alignment should be the highest-order user

experience objective.”

Source

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“With chat, the UI is the log file. Debugging

becomes very easy. And every user interaction is

product feedback.”

Source

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Acquisition Users visit the site.

Activation Users have a good first experience.

Retention Users come back.

Referral Users tell their friends.

Revenue

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We don’t know how new apps will be discovered.

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Simplify data entry.

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Avoid replicating phone trees.

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Curation appears to be more effective (for now).

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Natural language filtering.

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Image-based search.

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Bake in delighters.

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Context is huge.

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Develop a relationship with the customer over time.

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Use notifications intelligently and prudently.

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Nobody knows yet.

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Group shopping?

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When

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1) PR opportunity.

2) Capitalize on unsaturated channel.

3) Barriers to entry are lower.

4) Figure out what works faster.

5) More data = smarter bots.

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Build

Measure

Learn

Ideas

ProductData

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Build version one now. Learn what works.

Repeat.

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Let’s build something great together.

Thanks for talking today. To learn more about how DI can help with your digital innovation needs, contact Sean at 312-213-0498 or [email protected]