You'll have the IG research system that removes guessing forever β the outlier board β and today's IG slate built from it, using inventory you already produce. Nothing new to create; everything smarter to aim.
You've been running the research system since 3-5 β the swipe file, the daily 15, the remix tools. This lesson is its Instagram tuning: the outlier board is your swipe file's IG section with the discipline turned up, because Instagram punishes randomness and rewards pattern-matching harder than anywhere. The creators who grow here aren't more creative β they're better students of what's already working, and by now that's just your morning routine pointed at one platform.
Promote the IG section of your swipe file to a proper outlier board (15 minutes). You seeded it in 3-5; now make it IG-sharp. Confirm you're tracking three creator accounts reaching the audience you want β same niche, ideally 5β20Γ her size (big enough to learn from, small enough to be relevant). For each, hold at least one current outlier: a reel or post with clearly outsized numbers versus that account's normal. (An account averaging 2k views with one reel at 40k β that's an outlier. A million-follower account getting a million views is just Tuesday.)
Decode each outlier β three notes in the workbook: the hook (what the first second shows/says) Β· the structure (what happens, in what order) Β· why it worked (your one-sentence theory). Three outliers, nine notes. That's the board.
Adapt one pattern β never copy the post. Take the strongest pattern and make her version: same hook mechanism, same structure, her face, her scenes, her voice. The pattern is transferable; the content is hers. (This is also the line between research and theft β patterns are free, posts are someone's.)
every adapted pattern tests ONE variable from your best guess (hook, scene, caption style) β post it, read the result. The board refreshes on the daily 15; outliers go stale in weeks, and at daily volume you'll ride 2β4 live patterns at once (3-5's rule).
| Post | Warm-up (wk 1β2) | Full volume (wk 3+) | Source |
|---|---|---|---|
| Reels | 1/day | 3β5/day (pattern remixes + bankers) | Next lesson makes these; Reel Studio + your keepers |
| Grid post or carousel | 2β3/week | ~1/day | Straight from the daily batch |
| Stories | most days | daily | 20-second job inside the daily ten (next lesson) |
| Trial reels | β | on top of the 3β5 | Next lesson β the testing lab |
~20 minutes; the board then lives inside the daily 15.
The outlier board exists with three decoded patterns, and today's IG slate β including an adapted-pattern reel β is on paper. You now aim before you shoot, permanently.
You're probably looking at accounts too big (everything's huge) or too small (nothing has signal). Recalibrate to 5β20Γ her size and sort their reels by views β the spikes announce themselves against the account's own average.
Test: could someone see hers and theirs side by side and call it the same post? Then it's too close β change the scene, the words, the specifics, keep only the mechanism. Hook mechanisms ("get ready with me," "things nobody tells you about ___") belong to everyone; executions belong to their makers.
One flop is one data point β the system's whole design is that a flop costs you one slot and teaches you one variable. Check the theory note: was it a reach pattern when you needed a personality pattern? Adjust one variable, run it again in the next batch. The board wins on iteration, not on first tries.
Same answer as X: a couple of relevant ones at most, zero walls. Distribution comes from the pattern and watch-time, not tag spam. (Yes, everyone's cousin disagrees. The tracker will settle it with your own numbers.)
The system knows what to make β next lesson covers making it: reels and Stories, the two IG formats that do all the heavy lifting, straight from the studio.