Meesho is an e-commerce brand with a vision to democratize internet commerce for everyone. It empowers sellers by offering them a framework to establish and manage their online shops, enabling them to list products and maximize sales at competitive prices.

Since joining the design team in 2022, I've been instrumental in optimizing the seller panel experience, contributing to our rapid growth from 8Lakh to 18Lakh+ active sellers within 2 years.

INTRODUCING PRICING PANEL

An innovative platform designed to assist sellers in optimizing product pricing and driving maximum order growth. In 2023, we underwent a significant overhaul of the pricing panel, redefining its logic and enhancing usability through targeted nudges and enhanced functionality."

MY ROLE

Product Design, Research, Analysis, Visuals, Prototyping, Usability Testing

STATUS

Pricing panel was rolled out to 13 Lakh+ sellers on Aug’23

STAKEHOLDER COLLABORATION

Product Manager, Business, Developers, Key Account Managers

HOW IT STARTED

Listen or Die - is what we live by at Meesho. While starting my journey at meesho, I interacted with 20+ sellers over call to understand their experience of “Seller Panel/Price Recommendation”. Becoming Rockstar Rookie was first step towards solving from user-first mindset.

RESEARCH INSIGHTS

1

Need for a dedicated Pricing panel

Supplier wants visibility of all products in a single real-estate to be able to efficiently take price edit actions

2

Highlight critical recommendations

Sellers need education in accepting the high confidence recommendations that leads to maximum growth

3

Product vs catalog view of listings

There is no bulk action today. Seller needs to select catalog then products - Bulk action is critical for large

OLD DESIGNS

BRAINSTORMING WITH STAKEHOLDER

We kicked off the process with comprehensive experience review of the existing designs and competitive benchmarking session to figure out the gaps.

PROBLEM STATEMENT

Based on the learnings from seller LoDs and internal session, we figured out the below challenges and defined the scope of problem to be solved.

Lack of feedback loop and poor incentive alignment

On average, around 60% of price decrease action do not lead to order growth leading to trust issues

Suboptimal UX, price acceptance required 4 steps

~70% of recommendations are for Large scale sellers (having >5k products) who need bulk accepts

Competition realization and ineffective nudges

Usage of compare price was <20% and sellers where not convinced on why they should reduce price

DESIGN GOALS

This further helped us setting clear design goals and focus areas. We worked on versioning the solve to optimise on the release.

1) MEETING USER NEEDS

"Help seller update their price with minimal efforts and if needed in bulk as well"

2) USER PERCEPTION

"Changing the seller perception on price reduction and highlighting how their action leads to better results"

3) TRANSPARENCY

"Helping seller with competition realisation and how they can form an informed decision on price change"

PROPOSED USER FLOW

DESIGN EXPLORATIONS

While exploring the solve major focus was on how to optimise the decision making for sellers, since sellers had multiple product (5k+ in case of large scale seller). We also wanted to provide an overview without hampering the main action of accepting recommendations.
We iterated and explored in lines of segregating products at a Tab level or within column itself as tab click rate also reduces due to no. of tabs increase.

Below are final low-fi iterations of Landing page. We worked on end-to-end flows of Acceptance | Editing Price | Competitor Check and feedback realisation.

EXPLORATION 1

Moved from catalog to product level view for inline actions.

Improved overview section with product health and nudge to take action

.

Providing inline edit functionality and Accept as single primary actionable

EXPLORATION 2

Providing all actionables within single column at product level

Improved pricing information, based on LODs, Bank Transfer is a crucial decision making point for seller so kept it at L0

Categorized products as High Price Losing orders | High Price | Best price to bring out the criticality of actionables

USABILITY TESTING

To validates wireframes with sellers, we conducted ~12 UTs online by sharing prototype with seller. We had a list of questions, for which we provided sellers with a task to go through the flow and try to update price of any product. Below is a summary of all the responses.

Overview section

  • Sellers were able to comprehend High Price - Losing Order/ Views and Best Price

  • Other solve with Critical recommendation and needs update was not very clear to sellers neither acted as strong nudge

Accept Price flow

  • Sellers were happy with actionable insights and Bank Transfer information present at L0 level

  • We updated WDRP with its full-form as few sellers were confused with the term

  • Broadly sellers were aligned to accept recommendations in bulk to if prices are within margin

Pricing tabs

  • Overall comprehension for all 3 tabs and 2 sub-tab is very clear along with numbers.

  • Users are able to link between overview, tab, insights at product level based on the segregation

Edit Price flow

  • We received mixed comments here, majority of sellers were aligned to have all actionable in single column

  • Few sellers also pointed out to have it inline as in competitor websites

  • In terms of price breakdown, sellers were happy with the information and feasibility to make the change

  • All of the sellers expressed interest in editing price at product level instead of bulk actions

Insights text and tags

  • For most of the users Losing orders worked well to create FOMO and they mentioned to take action on such products first

  • Best price construct was clear that the products are now priced well on the platform

View competitor

  • Updated view competitor with views and order comparison details was appreciated by sellers

  • Using red FOMO pill along with Losing orders worked well as they were noticing it in first glance

  • Overall information and product attributes were relevant to take decision

FINAL OUTCOME : HIGHLIGHTS

✅ DESIGN GOAL : MEETING USER NEEDS

Clear segregation and prioritisation of products

User Scenario

Due to large number of recommendations, sellers were not clear on which one to take action on to avail maximum benefits.

We solved this by segregating Products into 3 buckets based on criticality High Price - Losing Orders | Losing Views and Best Price at product level and also summarized the Price Health of all products

✅ DESIGN GOAL : USER PERCEPTION

Moved to product level view showing relevant information at L0

User Scenario

Presented a holistic view of product by adding Order and Sale growth at product level to help seller trust the action. Bank Transfer (amount transferred to seller post all deductions) being a deciding factor to accept price, was introduced at L0 along with enhanced Insights information. Sellers realised the FOMO and were keen to know more about the competition.

✅ DESIGN GOAL : TRANSPARENCY

Providing critical information beyond price - Order/Views count and quality attributes

User Scenario

So far we used to provide price comparison but in LoDs sellers called out they are not clear if competition is selling quality product

To solve the same, we integrated Orders/Views along with FOMO and also provided attribute level information which are relevant to decide pricing of a product.

Sellers created youtube video sharing his experience with the new tool
(A honest experience)

IMPACT

By enhancing seller experience through user-centric design we were able to achieve: 2x increment in Direct Acceptance post launch of revamped Pricing tool. Pricing panel encountered 7% uplift in OCPD metric ( Order contribution per price drop)

A whopping 28% increment in weekly tab open rate, considering seller’s attention span and time they spend on this feature it was a good increment. From design perspective, we ensured to provide a simple, convenient and relevant experience to seller