Example ReportThis is a sample report with fictional data — upload your own history to see your real patterns.

The Takeaway

You click on shortcuts and stories, but you only finish the things that respect your time — and the gap between the two is costing you about a workday a month.

Your Profile

The Selective Deep-Diver

You don't watch YouTube — you study it. When something catches your eye you go all the way in: full videos, follow-up rabbit holes, the comment section. But you're ruthless about what earns that attention. Most things get 40 seconds and a back-button. The algorithm keeps showing you more of what you half-watched; you keep proving it wrong.

Selective

Viewing Style

39h

Time Watched

71%

Avg Completion

8h

on 142 videos you abandoned early

a full work day

You started 142 videos in the last 90 days and bailed within the first minute — but not before they ate roughly 8 hours of your attention in clicks, loads, and 30-second auditions. That's a full work day spent deciding things weren't worth watching.

Software & Programming

94 videos84% avg completion15.2h watched

This is your real home base. High completion, long sessions, and you regularly rewatch segments — a pattern that only shows up for content you're actively learning from, not passively consuming.

Documentary & Long-form Essays

31 videos79% avg completion10.3h watched

You finish almost everything here, often in one sitting. These appear mostly on weekends, clustered in the evening — the clearest sign of intentional, leisure-mode watching in your history.

Finance & Economics

47 videos61% avg completion8h watched

Mixed signals: strong starts, middling completion. You're drawn in by thumbnails and titles but frequently bail when the video turns into a sales pitch or padded explainer. You want the insight, not the 20-minute windup.

Music & Performances

22 videos55% avg completion3.5h watched

Short bursts — you play something, decide within a minute whether it's worth staying, and move on. This cluster is the most unpredictable in your history: the completions are either 15% or 95%, almost nothing in between.

Clicked but abandoned

  • 10 Productivity Hacks That Changed My Life
  • I Tried the Billionaire Morning Routine for 30 Days
  • Why I Quit My 6-Figure Job (Story Time)
  • Reacting to My Old Videos (cringe warning)
  • Unboxing the $3,000 Studio Setup

Quietly devoted

  • The Forgotten History of Operating Systems
  • How Compilers Work — Full Course
  • An Honest Look at Index Funds After 10 Years
  • Richard Feynman: The Pleasure of Finding Things Out
  • How to Build a Habit That Actually Sticks

There's a clear pattern here: you click on things that promise a shortcut or a story, and you finish things that respect your time. The abandoned list skews toward lifestyle and reaction content; the devoted list is almost all structured knowledge. Your actual preferences and your click behavior are quietly at war.

Pushed on you (you bail)

  • Productivity and 'morning routine' lifestyle content — you abandon 85% of it within a minute
  • Reaction and 'story time' videos — high click rate, near-zero completion
  • Finance hype ('Money Is About To Be Worthless') — you bail the moment it turns into a pitch

Starved of (you finish)

  • Long-form structured courses and documentaries — your highest completion, but a small slice of your feed
  • Calm, single-topic explainers that don't pad the runtime

Do this today

  • Hit 'Not interested' on the next three productivity/morning-routine videos in your feed — you almost never finish them and they're crowding out what you do.
  • Use 'Don't recommend this channel' on the reaction/story-time creators you keep abandoning.
  • When a finance video turns into a sales pitch, use 'Not interested' rather than just closing it — closing teaches the feed nothing.
  • Like and add to a playlist the long-form courses you finish, so the algorithm learns to surface more of them.

Your feed is optimizing for your clicks, not your attention — so it keeps serving shortcuts and reactions you bail on while under-serving the structured, long-form content you actually finish. A week of deliberate 'Not interested' taps on the abandoned categories will measurably shift what shows up.

Surprises

  • You've watched over 38 hours of programming content in 90 days — that's more than most people spend on Netflix in a month.
  • Your average session length is 47 minutes, but your median is only 9. A handful of long weekend sessions are pulling the mean way up.
  • You watched the same video about system design twice in the same week, five weeks apart. Your history suggests you were working on something both times.
  • Despite Finance being your third-biggest cluster by video count, it ranks last in total minutes — you open a lot, finish very few.
  • Sunday evenings are dramatically different from the rest of your week: longer videos, higher completion, almost no channel-hopping.

Questions worth sitting with

  • You keep starting finance videos and stopping — is it the content format you dislike, or is there something about those topics you're not ready to sit with yet?
  • Your 'quietly devoted' list is almost entirely structured learning. What would it mean to apply that same standard to what you click on in the first place?
  • Sunday evenings look like your most intentional watching. What's different about that time that the rest of the week isn't?
  • If you had to delete one of your four interest clusters entirely, which would it be — and what would you actually miss about it?