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Scott Witt

Founder & Chief Brand Officer of Parlance

Scott Witt is a seasoned professional known for his role as a Mentor at First Round Fast Track, where he provides guidance and support to emerging entrepreneurs and startups. His expertise lies in brand strategy and creative operations, making him a valuable asset to the First Round Capital community. In addition to his mentoring role, he is also recognized as a Photographer in Residence and has a background that combines creative pursuits with business acumen.12

Witt emphasizes the importance of mentorship in his professional journey, reflecting on how it has shaped his approach to leadership and team development. He actively engages in fostering relationships that help individuals and teams grow within their respective fields.1 His commitment to mentoring is evident in his contributions to the First Round Fast Track program, which aims to accelerate the growth of startups through tailored support and resources.2

Highlights

Aug 27 · linkedin

Don't Automate Your Way to Average

You’re at the airport. You need a sandwich. So you stand in line at a kiosk with an unfriendly and not fully intuitive UI to place your order. It offers no customization options, language toggle or alerts in the case an item is out of stock. And the attendant is neither empowered or compelled to provide a modicum of service. When something doesn’t work they blame the screen and offer no remedy to the growing queue of intolerant travelers. We’ve all been there.

Zero star sandwich aside, this is a top to bottom failure of imagination, retail experience and commercial decency — and the predicable result of accountants subverting CX. The arithmetic is couldn’t be more clear: Offload the work, automate the repetitive, and capture the margin. In these “trapped with no viable alternatives” scenarios like airports, LTV resets the second your flight boards — and the cycle of lowered expectations with increased prices continues. And this same scenario is playing out everywhere.

Standing in stark relief to this is CafeX (a robotic barista), where automation and specifically, robotics enhance the service rather than merely replace it. Their tech is the experience, and the product is every bit as good as its analog counterpart (plus there’s virtually no wait). It's an commercial exchange that provides the product utility I need, and a positive experience I'm compelled to share. This is what true automation should be—elevating the entire customer experience, not just digitizing the pursuit of reduced overhead.

In a world where brands can either optimize for tolerance or strive for exceptional, too many are choosing the former. Automation should make life easier, not just serve as a blunt instrument to cut costs while masquerading as innovation.

#cx #automation

Mar 4 · linkedin

Happy Monday. Let’s start the week with a provocation.

The wind-up:  After another big week of AI news re: training models / licensing deals / “woke AI” / Oh my!...it occurred to me that one company we don’t speak about nearly enough when it comes to AI, is Apple.

Privacy is (still) the ultimate luxury. And no company has leveraged this proposition more effectively than Apple. The value of trust and privacy is baked into the devices we buy and subscriptions we ‘rundle’ monthly. Admittedly, this higher elevation is more easily achieved when there are so many other bad actors in the market — but it’s good for customers, for the brand and for the market, writ large.

Apple is sitting on a wonderful trove of customer data, of arguably the highest quintile of affluence globally. The company has successfully (and correctly) wrapped Privacy around:

Content: Music, News, Podcasts, Books, TV, Games Activity: Search, App Usage, Navigation  Connection: Messages, Mail Commerce: Pay, Wallet  …You get the idea.

After Google, there is perhaps no better, or no more hygienic trove of first party data in existence. Imagine this corpus being used to train a Siri-based model….and the value - both financial and cultural - that could be unlocked.

As long as the odds may be, what if Apple played the counter-intuitive card?

Could the Apple customer participate in some of this value exchange, and win in the process?

What if your One subscription had the option to selectively opt your activity data into a training corpus in exchange for subsidized subscription costs, or ‘cash’ to be used in Apple Stores?

Is there enough participatory scale in the Apple system to train a more meaningful and by extension, valuable language model?

Thoughts?

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Scott Witt
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Location

Menlo Park, California, United States