Making Ola the Default Daily Commute App

Ola has a strong hook, and I think a hidden gap right behind it. Getting a ride fast is table stakes at this point across the category, but keeping a rider coming back every weekday is a completely different problem. My working assumption, and I want to be clear this is an estimate based on how these marketplaces typically behave rather than data I've seen, is that a meaningful share of riders who try Ola once don't stick around long enough to form a daily habit, and the reason isn't the app itself, it's what happens at exactly the moments people need reliability most: peak-hour cancellations and unpredictable surge pricing. The idea I'm proposing, a Commute Pass paired with a scheduled-route system, tries to convert those unpredictable, one-off bookings into something closer to a standing arrangement, pre-committed timing, pre-committed pricing, with a real guarantee behind it if something goes wrong. If it works, more riders would form an actual weekday habit instead of shopping between three apps every morning.

Here's what I think is happening. Someone tries Ola for their commute, has an experience that's mostly fine, and then hits a bad morning, driver cancels after accepting, or the fare has doubled because of rain, and that one bad morning outweighs several good ones. In a habit-forming product, consistency at the moments of highest stress matters more than average quality, and commuting is inherently high-stress: people are on a clock every single day. I'd guess this shows up as several distinct problems stacked together, cancellations that break trust disproportionately compared to their frequency, surge pricing that makes it impossible to budget a daily expense, and the simple fact that there's no concept of "my regular route" in the product, so every single day requires re-deciding whether to open Ola, Uber, or Rapido and compare.

Not every rider needs this. Someone hailing a cab home from a wedding once a month doesn't care about habit formation, they care about safety and comfort for that one trip. The riders I'd build this for are the daily office commuters, the people making the same trip eight, ten, twenty times a month, where reliability and predictable cost matter more than anything else. There's a second tier of more price-sensitive, flexible riders who'll switch between apps and modes depending on the day, and I wouldn't try to force them into a commute product they don't actually want. The core need, underneath all of it, is something like: when I need to get to work or home on time, I want a ride I can count on without having to think about which app has the best price today, because my day is already on a schedule I don't control.

I want to be upfront that the specific percentages I've used in early drafts of this, the exact share of churn caused by cancellations versus surge versus lack of a routine, were estimates I made up to have something concrete to reason with, not numbers I pulled from real data. If I were doing this for real, the first thing I'd do is go get the actual funnel numbers and run structured interviews with riders who churned, riders who stuck around, and riders who use multiple apps, and let their answers replace my guesses. My working hypotheses, going in, are that a cancellation right after acceptance breaks trust far more than its frequency would suggest, that the unpredictability of surge pricing bothers people more than the absolute price does, and that a lot of riders simply never form a routine because the app doesn't give them anywhere to put one, so the trip defaults to whichever app has the best coupon that day.

The day starts with an alarm and, often, a quick check of the weather and how bad the surge might be, that's already friction before the person has opened any app. Then comes the part where they're comparing two or three apps to see who has availability without a big multiplier, which is exhausting to do daily. Once they book, the biggest risk moment is right after a driver accepts, if that driver cancels, the rider is now late and scrambling. During the ride itself, ordinary traffic and routing issues matter, but they're not the retention problem, the retention problem is that tomorrow morning, the entire process resets to zero with no memory of yesterday's choice.

If I ask why riders don't just default to Ola for their commute, the answer isn't that the product is bad, it's that peak-hour trips feel unreliable and financially unpredictable at exactly the moments that matter most. Tracing that back further, it's because Ola currently treats every single trip as an independent real-time auction rather than recognizing that a huge share of demand is the same person making the same trip every weekday. And underneath that, there's simply no habit-forming surface in the product, no concept of "this is my route, treat it differently."

Four areas kept surfacing as the highest-leverage places to intervene: a real guarantee for peak-hour cancellations so a scheduled rider never gets stranded, a Commute Pass that locks in predictable pricing for a recurring route, a daily scheduler that removes the need to re-decide every morning, and incentives on the driver side to make sure supply actually shows up for these committed slots, since none of this works if drivers don't participate.

Uber has more global trust and a subscription product already in Uber One, but from what's publicly known, auto and bike density in Indian cities is a relative weak spot, which is exactly where Ola could differentiate with a broader Commute Pass. Rapido wins on price and speed for short bike trips but isn't really built for someone who wants a comfortable, reliable full commute. Namma Yatri has strong driver-side trust through its zero-commission model, but supply can be patchy outside dense zones, which is a real opening for Ola to compete on scheduling reliability instead. And the metro is the baseline every ride-hailing product is quietly competing against on cost predictability, with the obvious gap being first- and last-mile connection, which a Commute Pass could actually bundle in.

I ran the main ideas through a RICE score to keep myself honest about impact versus effort rather than just building whatever seemed most exciting. The daily scheduler came out ahead mostly because it's relatively cheap to build and hits the core habit-formation problem directly. The cancellation guarantee scored close behind since it addresses the single most trust-damaging moment in the journey. The Commute Pass scored lower on pure RICE terms, mostly due to effort, but I'd still build it early because it's the piece that actually creates pricing predictability and revenue lock-in, which the scheduler alone doesn't provide.

Kept deliberately narrow: a daily scheduler that lets someone save their home and work locations and get a simple night-before confirmation, a cancellation guarantee that reassigns instantly and issues a credit if a driver cancels on a scheduled trip, and a basic Commute Pass with capped fares, launched in a couple of cities rather than everywhere at once. The goal of this MVP isn't to be feature-complete, it's to test whether removing the daily re-decision point and adding a real reliability guarantee actually changes rider behavior.

The number that matters most is 30-day rider retention, specifically whether more riders are still active a month after their first ride. I'd also track what share of riders form something I'd call a genuine weekday habit, meaning a real recurring pattern rather than sporadic use, and how quickly cancellation rates and driver acceptance change once corridor incentives are in place. None of the specific target percentages I've floated here should be read as commitments, they're placeholders for what I'd actually measure once real data exists.

The first and most important experiment is simple: does a proactive night-before confirmation, instead of making someone open the app cold every morning, actually increase how often they ride during the following two weeks. If that doesn't move the needle, the rest of this concept needs rethinking before I'd invest further in the Pass or the guarantee.

I'd start by making sure driver supply is actually primed in a handful of office-dense corridors before ever showing this to a rider, since promising a scheduled ride that nobody shows up for is worse than not promising it at all. Then a small soft launch to a limited set of riders in one city, testing the scheduler and guarantee before ever introducing pricing. Only once that holds up would I expand cities and introduce the Pass itself.

The most serious risk is promising scheduled reliability that the supply side can't actually back up, that would do more damage to trust than the current unpredictable status quo. Second, the cancellation-credit cost could spiral if it's not tightly scoped to genuinely scheduled trips with real fraud checks. Third, if the Pass mostly gets used by people who were already going to ride that often anyway, it just quietly reduces revenue without creating new habitual riders, so cannibalization is a real concern to test for, not assume away.

If there's one honest takeaway here, it's that a habit isn't built by discounting the existing product, it's built by removing the decision point entirely. The trade-off I'd accept knowingly is that prioritizing scheduled commuters probably makes on-demand ETAs slightly worse for everyone else during the morning peak, and I think that's a defensible trade if the retention gain is real. What I'd actually want to check before going further is whether drivers are willing to accept scheduled rides without demanding surge-level pricing, because if they aren't, this entire concept falls apart on the supply side before it ever reaches riders.