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Marketing Academy · Field Work●Marketing Tools
MiniTeardown· 20 minutes

Session Recording Triage: What Actually Needs Fixing?

Allbirds

Objective: Given a synthetic batch of 8 session-recording notes from a checkout flow, apply the lesson's dead-click/rage-click/form-abandonment vocabulary to sort real friction from healthy behavior, and propose the first fix.

You're reviewing 8 session-recording notes from Allbirds' checkout flow after Microsoft Clarity flagged an unusual spike in dead clicks on mobile.

Classify each session note as a real friction signal or normal behavior, then propose the single highest-priority fix based on the pattern.

Before you start

What you'll need

Free path (everything below is enough to finish)

Hotjar
FreemiumFilter and watch session recordings on the checkout flow

Free tier includes session recordings, filterable by page and rage-click flag

Google Sheets(optional)
FreeLog each session's classification and severity for the triage summary

Free, simple audit trail for a small batch of sessions

The process

Specimens to review

Classify each of the 8 sessions as a real friction signal (name the type: dead click, rage click, or form abandonment) or normal behavior. Propose the highest-priority fix.

Sample output
Allbirds mobile checkout, 8 session-recording notes (synthetic, 1-week sample):

A. User taps the greyed-out 'Apply' promo code button 4 times in under 3 seconds, then abandons cart.
B. User fills in shipping address, scrolls to payment, pauses 12 seconds, then completes purchase normally.
C. User taps a static trust badge icon ('Secure Checkout') twice, nothing happens, then continues to payment normally.
D. User types a full email into the newsletter opt-in field, then deletes it and leaves the page immediately.
E. User taps the promo code field label text (not the input box itself) 3 times before finding the actual input.
F. User completes checkout in 40 seconds with zero extra taps, fastest session in the batch.
G. User taps 'Apply' promo code button 5 times rapidly on a cart worth $340, then closes the tab.
H. User scrolls up and down the shipping form twice before completing it normally.

Specimen: synthetic, realistic

Final deliverable

A triage table classifying all 8 sessions, with the single highest-priority fix named and justified by the repeated pattern.

See a reference example
Sample output
TurkNet checkout session triage (8 sessions)

Real friction:
- 2x rage click on disabled 'gift wrap' checkbox (root cause: checkbox stays greyed out until an unrelated field is filled)
- 1x dead click on a non-clickable delivery-date icon

Normal behavior:
- 3x standard-pace completions
- 1x re-read scroll on the address form
- 1x form field typed then deleted, single occurrence

Priority fix: make the gift-wrap checkbox active by default, or clearly label the dependency that unlocks it.

Success criteria

You're done when you can:

  • Correctly identifies the repeated rage-click pattern (sessions A and G) as the top-priority, checkout-blocking issue
  • Distinguishes dead clicks, rage clicks, and form abandonment using the lesson's own definitions
  • Does not flag the 4 healthy/single-occurrence sessions (B, C, F, H) as priority problems