She Automated 80% of Her Job. Here's What She Kept.


Hi Reader,

What do you do when AI can handle 80% of your job?

Cien Solon found out. She was a senior product manager managing 30 engineers and data scientists when she realized AI could write her epics and user stories in minutes instead of an afternoon. Her first reaction: "I'm going to be out of my job." Her second reaction: "What else can I build?"

What we covered:

  • How a chatbot she built in 2018 improved customer service resolution rates by 20% overnight, years before anyone was talking about large language models
  • What happened when she hyper-automated her startup's content and distribution from day one: thousands of people reached with zero marketing spend, but messaging that was all over the place
  • Her 80/20 rule for automation: automate the 80% that's repeatable, but keep the 20% that requires your judgment, your voice, your taste
  • Why she believes you need to do things manually first, figure out what good looks like, then automate. Skipping that step is where things break.

Key takeaway: Cien's biggest lesson wasn't about the tools. It was about sequence. Build the playbook before you automate the playbook. Otherwise you're just doing more of the wrong thing, faster.

One question for you: What's one task you've been automating that you probably should have done manually first to understand what "good" looks like?

Want help figuring out what to automate and what to keep? Download The 30-Second Route Check: https://chill-labs.kit.com/products/the-30-second-route-checkโ€‹

๐Ÿ“บ Watch the episode:

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๐ŸŽง Listen on Spotify:

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Automate the 80%. Keep the 2...
May 11 ยท Automate Yourself
21:49
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Connect with Cien: LinkedIn | Launch Lemonadeโ€‹


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Let's Chillaborate,

Dina

Founder, Chill Labs

PS: Know someone who's automating everything but feels like the quality isn't there yet? Forward this to them. Cien's 80/20 rule might be exactly what they need. ๐Ÿ’™

Chill Labs

Chill Labs is a boutique consultancy helping companies think strategically, solve business problems, and streamline operations utilizing Product Management, Software Engineering principles and AI. Combining a decade of experience running complex, globally distributed software products with expertise in product discovery, user research, and strategy, Chill Labs helps companies build products that users want and do so in a way that supports growth and scale. Dina Levitan, Founder and Principal at Chill Labs, based out of Seattle, WA, brings over 15 years of experience as a product and technical leader ranging from startups to companies like Google.

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