Optimising Pharmacy Prescription Flow

Objective 🎯


As part of an ideal check exercise, we aimed to optimize our prescription

(RX) flow to increase the conversion rate.


A basic understanding of ideal checkout

To assess how well our pharmacy checkout flow meets user expectations

and,based on observations,to restructure the checkout flow experience

architecturally and visually.


What is RX flow?

When a user purchases any prescribed medicine, they need to upload

a prescription (Rx) before placing the order.


What if a user doesn’t have a prescription?

We allow our users to consult with one of our doctors for free, which we

call e-consult.

The doctor will then prescribe the necessary medicine and provide a

prescription.


Before proceeding with the problem, let's review how our RX flow page

looks so you can understand the sections we are referring to. 🎯

How We Approached the Problem ?πŸ€”

How We

First, we analysed all available data from the past 15 days.

Here are the key insights the Problem ?πŸ€”

Increasing complexity to capture explicit consent (e.g., introducing an

invoice sub-flow bottom sheet) increases drop-offs.

  • The interaction pattern of new and repeat users with the Rx page

    differs only

  • marginally

  • (although the difference increases substantially in subsequent steps).

  • This drop-off is ~1 percentage point higher for new users compared to

    repeat users.

User Segmentation for better understanding

Hypotheses πŸ€”



The need for a prescription and its impact on orders is not prominently

displayed.Lack of awareness that medicines are Rx and require a

prescription before adding to the cart.

Clarity regarding what a prescription entails is lacking.

Excessive permission requests (e.g., access to gallery) during photo

uploads. Important information such as which medicines require

prescriptions is not upfront.Too much hidden information

Uploading via gallery leads to confusion with files and other

unfamiliar options.The timing for e-consult is unclear.

User interview πŸ‘¨πŸ»

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Insights

Now that we have data and initial hypotheses, what's next?

We reached out to some users to comprehensively list problems and

UX issues for validation with the data

and to create a holistic view for all 1mg users.

I won't delve deeply into the research but will provide insights into

what we discovered during interviews and

task performance. Based on the tasks, we had specific questions for users.

New RX flow πŸ†•


After collecting all the insights, we sat together can plotted a new architure for

the RX flow.







Users are not prepared or aware that the medicines they add to the cart are

Rx medicines and that they will need to upload a prescription.


Providing information about both options is overwhelming as users will

choose only one.


Information provided about the options is unclear and insufficient, making it difficult

for users to understand them.


Additional clicks to access important information increase cognitive load.


There's no option to book e-consult when ordering for someone else. Hierarchy in

information provided on the page is lacking.



After user research, we attempted to place orders with different competitors

to see how they address these problems.




From the competitor analysis, we found that Flipkart Health addresses point number

3 to some extent, but we aim to make it even easier for users.

We tried to move all the pages to a bottom sheet. In the past, we learned

that moving a page to a bottom sheet reduces drop-offs (perceived feeling of

reduced steps). We provided clear communication about which medicines require

a prescription and why a prescription is necessary to purchase a medicine.

Providing an entry point for their actions also reduces what needs to be

shown to the user and what doesn't. Previously, users were presented with both options:

uploading a prescription and opting for e-consult. As we observed

from the data, ~3 pp of users try out both options.

Previously, the upload prescription options were one level deep, which

we brought upfront to establish better context for the user on what to

do here.

We discovered that new users have many queries related to e-consults, mainly about

whether e-consults are free, when they will receive the call,and who will attach their

prescription. We attempted to address allof these issues and simplify them by

using better copy than before.