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Every deck gets a score, prioritized fixes, and the pass reasons investors would never send. Below is an actual Brief review for a Series A travel insurance deck.
Faye
Series A · Travel Insurance · 19 slides
Scores benchmarked against 12,847 decks with outcomes
Investor Attention
From 28,614 investor viewing sessions
Drop risk · Slide 9
Investors lose interest here. Slides 7–11 repeat product features without showing traction — by slide 9, most VCs have already moved on.
Suggested fix
Consolidate into two slides: lead with key differentiators (60-sec coverage, Faye Wallet, proactive monitoring), then show the app in action. Move the feature grid to appendix.
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Overall Score
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Overall score, 7-dimension breakdown, slide-by-slide investor attention signals, and prioritized fixes, all backed by real data.
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Every score, weight, and recommendation in your review is anchored in three proprietary datasets: 5,237 expert references from 326 investors and founders, 12,847 pitch decks tied to their raise outcomes, and 28,614 real investor viewing sessions. Here's exactly how each one makes your review more accurate.
Grounded in how investors actually evaluate decks.
Interviews, live teardowns, essays, and post-raise retrospectives — each one coded to the seven rubric dimensions in your review. When Brief flags a slide, you see the named investor and the exact quote behind the call.
“You need to be able to say what your company does in two sentences… your goals should be 80% accurate 100% clear, not 100% accurate 50% clear.”
Michael Seibel
Y Combinator Partner
Benchmarked against what actually raises — not a template.
Every deck is tied to a real outcome: who raised, from whom, at what valuation, and who got passed on. That ground truth tunes your review's scoring weights to your exact stage and vertical, so you're benchmarked against the decks that closed rounds.
See where attention drops before you send the deck.
Every session captures dwell time per slide, skip patterns, re-opens, and the exact point readers quit. That behavior trains the attention model that projects onto your deck slide-by-slide — so you see where investors will disengage, and which slides to rewrite, before you ever hit send.
After the fix
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Viewed all slides · Came back twice
Viewing now · Slide 7 of 9
Stopped at slide 3 · 47s total
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When investors skip slides or lose attention, Brief feeds that engagement data back into your review — so your next round of fixes targets exactly what’s not landing.
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