Roles

Design Venture Fellow

Timeline

July to August 2025

Skills

Design Systems + User Research

Product Strategy + Scoping

End-to-End Venture Creation

Summary

At Times Network, I was brought in to analyze monetization data. That work uncovered a major blind spot: despite massive legacy reach, 99.5–99.9% of the company’s addressable 18-24 y/o audience was effectively untouched.


That insight reframed the problem from “content optimization” to relevance gap. I led the conception of SoWhatNow, a full-stack digital product designed to translate news into perspective-driven, creator-native formats built for social feeds (snackable, conversational, and fast) while unlocking monetization models beyond impressions.

What I did


Quantified Times Network’s Gen Z gap and diagnosed tone, visual, and format mismatches across existing content.


Designed SoWhatNow, an anchor-free show structure combining news + non-news verticals optimized for Reels, TikTok, and Shorts.


Produced a full pilot episode storyboarding, scripting, visual direction, host framing, pacing, and editing, to demonstrate feasibility and tone.


Built a 208-piece/week content architecture including shows, snackables, infographics, memes, and weekend recaps.


Developed the operational model: staffing, production workflow, creator integration, and lightweight studio setup.


Created the growth + KPI framework and a multi-stream revenue model across ads, sponsorships, affiliate commerce, events, and syndication.

Results


Modeled a 78× expansion in Gen Z reach, moving Times from 0.127% capture to a projected ~10%.


Delivered a ready-to-launch pilot + P&L + GTM blueprint that executives could implement immediately.


Surfaced a 78% / 22% male–female skew in Gen-Z reach, informing format and tone decisions in the SoWhatNow pilot


Roles

Design Venture Fellow

Timeline

July to August 2025

Skills

Design Systems + User Research

Product Strategy + Scoping

End-to-End Venture Creation

Summary

At Times Network, I was brought in to analyze monetization data. That work uncovered a major blind spot: despite massive legacy reach, 99.5–99.9% of the company’s addressable 18-24 y/o audience was effectively untouched.


That insight reframed the problem from “content optimization” to relevance gap. I led the conception of SoWhatNow, a full-stack digital product designed to translate news into perspective-driven, creator-native formats built for social feeds (snackable, conversational, and fast) while unlocking monetization models beyond impressions.

At Times Network, I was brought in to analyze monetization data. That work uncovered a major blind spot: despite massive legacy reach, 99.5–99.9% of the company’s addressable 18-24 y/o audience was effectively untouched.


That insight reframed the problem from “content optimization” to relevance gap. I led the conception of SoWhatNow, a full-stack digital product designed to translate news into perspective-driven, creator-native formats built for social feeds (snackable, conversational, and fast) while unlocking monetization models beyond impressions.

What I did



Quantified Times Network’s Gen Z gap and diagnosed tone, visual, and format mismatches across existing content.


Designed SoWhatNow, an anchor-free show structure combining news + non-news verticals optimized for Reels, TikTok, and Shorts.


Produced a full pilot episode storyboarding, scripting, visual direction, host framing, pacing, and editing, to demonstrate feasibility and tone.


Built a 208-piece/week content architecture including shows, snackables, infographics, memes, and weekend recaps.


Developed the operational model: staffing, production workflow, creator integration, and lightweight studio setup.


Created the growth + KPI framework and a multi-stream revenue model across ads, sponsorships, affiliate commerce, events, and syndication.

Results

Results


Modeled a 78× expansion in Gen Z reach, moving Times from 0.127% capture to a projected ~10%.


Delivered a ready-to-launch pilot + P&L + GTM blueprint that executives could implement immediately.


Surfaced a 78% / 22% male–female skew in Gen-Z reach, informing format and tone decisions in the SoWhatNow pilot