Travel-Tech Practice · T1
Flight Booking Teardown — Journey & Funnel Map
Where the MakeMyTrip booking funnel actually leaks, which persona feels it hardest at each
stage, and which of the 10 recommendations from the teardown targets it.
Same modeled numbers as the Booking Funnel Analysis (T8) — this page
visualizes that project's stage-to-stage conversion rates (Search→Results ~92%, Results→Fare
Review ~38%, Fare Review→Traveller Info ~61%, Traveller Info→Payment ~74%, Payment→Confirmation
~88%) rather than inventing a second set of numbers for the same funnel. See
T8 for the
full funnel analysis and A/B test hypotheses.
Value Rakesh (price-sensitive)
Business Priya (reliability-focused)
Family Planner Anita (group complexity)
Rec #6: smart filter defaults
Entry point for all three personas. No major drop-off here yet — the friction starts once results load.
Filter fatigue
Rec #3, #6
12+ filter dimensions, no smart default; no persistent price comparison across dates.
hits Rakesh hardest — he's actively comparing.
Fare Review
35% (−57% — biggest leak)
Price shock
Add-on dark pattern
Baggage buried
Rec #1, #2, #4, #5
Fare inflation between search-result and fare-review price, pre-selected add-ons, buried
baggage policy.
Rakesh
(price shock) and
Anita
(unclear total-fare breakdown) both hit their worst moment here — this is why the Cut step
in the teardown prioritizes fixing this stage first.
Traveller Info
21% (−39%)
Group-entry complexity
Rec #9
Logged-out users are funnelled into account creation here, not upfront.
Anita feels this most —
entering 4+ passengers manually with no shared-itinerary shortcut.
OTP / payment retry friction
Rec #7
Priya (last-minute,
time-pressed) is most exposed — a failed payment retry costs her the fare she needs to lock in now.
Rec #8, #10
Post-purchase, not a drop-off cause — this is where the delay-risk badge and "manage trip"
nudges pick up.
Priya
relies on "My Trips" for rebooking flexibility from here on.
Reading it: Results → Fare Review is the single steepest drop in the entire
funnel (92% → 35%, a 57-point fall) — more than double the next-largest drop. That's the
concrete evidence behind the teardown's "Cut" step: fixing Fare Review's price-shock and
dark-pattern add-ons for Rakesh's segment isn't a guess, it's where the funnel data says the
leak actually is.