Jake Saper, Emergence Capital @jakesaper @jakesaper, Emergence Capital 1
A Bit on Me @jakesaper, Emergence Capital 2
Emergence: A Track Record of Identifying Themes that Impact the Future of Work 2004 Today Horizontal Cloud Industry Cloud Enterprise Social > Collaboration Deskless Workforce Coaching Networks @jakesaper, Emergence Capital 3
@jakesaper, Emergence Capital 4
People doing routine jobs were a key force behind electing Trump @jakesaper, Emergence Capital 5
QUESTION: How do we scalably address the massive retraining needs that will be created by AI-driven automation? @jakesaper, Emergence Capital 6
ANSWER: AI-driven Coaching Networks @jakesaper, Emergence Capital 7
BONUS: We believe Coaching Networks will drive the next massive wave of enterprise software. @jakesaper, Emergence Capital 8
Today’s Session How Can I Build Why Should I What are a Coaching Build a Coaching Coaching Networks-Based Networks-based Networks? Company? Company? @jakesaper, Emergence Capital 9
How Can I Build Why Should I What are a Coaching Build a Coaching Coaching Networks-Based Networks-based Networks? Company? Company? @jakesaper, Emergence Capital 10
Coaching Networks use machine learning to coach workers on how to do their jobs better, as they do them. Specifically they: 1. Track how a distributed network of workers perform a specific job 2. Identify which approach works best in which context 3. Recommend a tailored approach in real-time to a given worker, then track worker behavior and outcome. 4. Data is then fed back into the network to improve outcomes for the next worker. @jakesaper, Emergence Capital 11
Coaching Networks Data Flywheel Creativity From the “Brilliant Outlier” Coaching Gathering Networks Machine Learning Data/IoT Sensors 1000s of Peers & Guiding UI Comparing Machine Learning & Algorithms @jakesaper, Emergence Capital 12
Instead of being automated away, humans are put at the center of the Coaching Networks mutation engine. @jakesaper, Emergence Capital 13
With Coaching Networks, remote workers can be trained more easily. Where you work will become less important than how quickly you learn new skills and contribute to the network . @jakesaper, Emergence Capital 14
Coaching Networks will be most useful in high value, human-to-human jobs @jakesaper, Emergence Capital 15
Augmented Writing @jakesaper, Emergence Capital 16
@jakesaper, Emergence Capital 17
Contextual Coaching for Customer-Facing Teams @jakesaper, Emergence Capital 18
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How Can I Build Why Should I What are a Coaching Build a Coaching Coaching Networks-Based Networks-based Networks? Company? Company? @jakesaper, Emergence Capital 20
@jakesaper, Emergence Capital 21
Tips to Building Great Coaching Networks 1. Start Narrow 2. It’s the data, stupid 3. Obsess over your UI to drive usage @jakesaper, Emergence Capital 22
How Can I Build Why Should I What are a Coaching Build a Coaching Coaching Networks-Based Networks-based Networks? Company? Company? @jakesaper, Emergence Capital 23
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Where will you focus to build a Coaching Network? @jakesaper, Emergence Capital 25
Appendix @jakesaper, Emergence Capital 26
Next Era of Software Forms out. Coaching in. 1.0 2.0 3.0 Horizontal Cloud Industry Cloud Coaching Networks @jakesaper, Emergence Capital 27
First Wave Harvested Us, Set Stage for Coaching Networks Consumer Internet Coaching Networks Clicks Speak Searches Write Posts Use Software Likes Do Your Job Purchases Help Harvest Behaviors Advice Behaviors Ads New model ALIGNS with the user to Core ad model NOT increase effectiveness. Employer pays in your best interest. for increased value. @jakesaper, Emergence Capital 28
Coaching Networks Gains Momentum @jakesaper, Emergence Capital 29
From Harvest to Help Post-Ad Model: Software pay-for-value meets Consumer network-effects Video Scanning Location Advertising Enterprise: Monitoring Textio Social Business Examples Chorus User Network Guru Models Engagement Consumer: Behaviors Coaching FitBit Web Clicks Networks Strava Predictive Software Workflows Web Forms >SaaS Forms Today @jakesaper, Emergence Capital 30
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Focus vs breadth Sourcing Strategy: Chase the Data How does a startup build a proprietary data set? Aggregation Creation Enhancing Creating New Scraping Publicly Getting Orgs To Give Creating New Data via Data via Joins Data via Available Data Sets Proprietary Data In Customer Behavior Trainers and/or Exchange for Network • SafeGraph workflow • CoreLogic Service/Fee • Textio (at the • Textio • X.ai beginning) • Branch Metrics • Chorus • Guru • OneSignal • Siri/Alexa • SafeGraph • FB • Textio • Google @jakesaper, Emergence Capital 34
Coaching Networks will Bring us the Next Salesforce.com Massive addressable market size : Applicable in almost every work context Focused on high value: Most valuable in the high value tasks which are unlikely to be automated Grow the Pie: Unlike automation-focused software, not a race to zero Significant Moat: Networks create formidable barrier to entry @jakesaper, Emergence Capital 35
Path to Defensible, Scalable Proprietary Data 1. Aggregating not to sell data but to sell insights from it 1. Scraping like Textio 2. Going straight to end users to understand how they use a product (Chris Keene’s idea) 2. Co-opted a cause (diversity) to get data given to her 3. Got users together 4. Collected user insights across companies @jakesaper, Emergence Capital 36
These jobs aren’t going to China or Mexico; They’re being automated away, increasingly by AI @jakesaper, Emergence Capital 37
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