I led the project's design efforts, crafting the complete user experience and collaborating with various teams to successfully implement the feature.

Figma, Miro, Sketch

UX Design, UI Design, Illustration, Prototyping

My Role

Collaboration with the product analytics, tech, business, marketing, operations teams.

Skills and Tools

Team

1 Designer

Following numerous iterations and collaboration with Product Managers, Developers, and Testing teams, the feature was ultimately launched for our users' utilization.

The feature was introduced as an experiment to 25% of users, aiming to analyze user behavior and assess the impact of our designs.

Final Designs

Result

Direct Auctions: Full Visibility of Your Car Selling Process

UX DESIGN | RESEARCH | PROTOTYPING 

SUMMARY

What is Direct Auctions?

Direct Auctions is a feature enabling car sellers to auction their vehicles directly to Car Dealers within OLX’s network. This benefits both parties involved. Dealers gain access to detailed information on cars to bid on, while sellers receive immediate visibility into the offered price. By bypassing intermediaries, this system enhances user trust in the platform.

OLX Autos is an online Car trading platform. User can sell their Car, buy one from the car listings from the platform or get their purchase financed by OLX. Selling, Buying and Finance are the three verticals OLX Autos deals with. They have Android, iOS as well as Web platforms.

About OLX Autos

Seller comes to OLX

Approximate quote provided

Final price offered

Books a car inspection

Existing process

Analysing the existing process for opportunities to increase trust and transperancy

Seller fills all the car details: Self Inspection

Let’s look at the existing flow to dig deeper and identify areas of intervention.

Identifying opportunities

  1. Users appreciate getting the chance to Negotiate, something thats missing in online experiences.

Drawing from our experience with car sellers, we endeavored to pinpoint potential areas for improvement by scrutinizing the end-to-end flow and contrasting it with on-field practices.

  1. Users show lack of trust towards the pricing models as how we arrived at the final quote is not transperant.

  1. For users the most important factor is the final price offered. Users always compare prices across different platforms and will choose the best price offered for their car.

After this, the entire process becomes offline, making it difficult to keep users engaged beyond this stage.

Users aren't certain if this is the best price available, so they might leave and check other platforms.

If users don't like the price, they're likely to leave without scheduling an inspection.

Stage: Approximate quote offered

PART 3

Let users sell directly to dealers

Give a sneak into how price is generated

We considered allowing users to express dissatisfaction with the offered price and also propose alternative offers.

Letting the users negotiate the offered quote.

PART 2

After conducting interviews with inspection engineers and dealers, we identified additional information that should be incorporated into the existing data collection:


  1. Additional car photographs from all perspectives.

  2. Comprehensive details regarding any dents and scratches.

  3. Inclusion of interior car photographs.

Adjusting the information collection flow to provide dealers with sufficient details, thereby bypassing the need for an inspection process.

Solution Ideation

PART 1

Designing for transparency of process and letting users directly auction their car

Enable users see track their entire end-to-end process

Current process: The OLX algorithm generates an approximate price, and after the inspection, the cart details are shared with the dealers' network. Dealers bid on the car, and the highest bid wins, determining the final price offered.

Approximate quote provided

Auction your car directly to dealers

Additional information capture

USER FLOW

Seller comes to OLX

Seller fills all the car details: Self Inspection

New Experimental flow

new

new

new

new

Final Price

Books a physical car inspection

Negotiate offer price

Explorations around how to capture additional photos

Explorations for different ways of introducing the auction proposition

DESIGN CHALLENGE

Low Fidelity Designs and Exploration

How do we design for a complex auctioning process?

The design challenge was to simplify the concept of auctioning a car to dealers so that users can easily grasp the process and participate effectively. Additionally, it's difficult to retain users through a slightly longer flow. To address these challenges, we implemented several design interventions.

Final Designs

Introducing the auction proposition

approximate price

value proposition of direct auctioning

clear CTA to start

explanation of the auction process to help people be informed

Additional images captured

previous image capture requirement

new image requirement

new

Designed special stencils to help users capture photos accurately

Provide end to end process tracking

Helping users have complete visibility of their car selling process

Letting users negotiate the quote online after dealers have bid on the car

if offer accepted

The expectations provided by the user are noted and visible.

A new quote is offered. They can choose to accept or reject it.

Users can provide a counter offer if they do not accept the auction offer. Use cases accounted for:


  1. If user provides a counter offer within 15% of the offered price we give positive feedback that the chances of getting the desired price are higher.

  2. If user provides a counter offer more than 15% of the offered price we give negative feedback that the chances of getting the desired price are lower.

  3. If user mistakenly provides a lower value counter offer we let the user know that.

if offer rejected

Results

After a lot of iterations, collaboration with Product Managers, Developers and Testing teams, the feature was finally launched for our users to use.


The feature was launched as an experiment to 25% users to analyse user behaviour and impact of our designs.

How might we design the flow to give users more visibility and transparency on the price offered?

How might we enable OLX to give the best and more accurate price?

How might we let the user have a chance to negotiate?

What Problem are we trying to solve?

PROBLEM STATEMENT

I believe in the enchanting power of good design, capable of weaving magic into every experience. Let's work together and make magic!


Feel free to drop an email at mrunal.dhaygude@gmail.com.


MRUNAL DHAYGUDE

Direct Auctions: Full Visibility of Your Car Selling Process

UX DESIGN | RESEARCH | PROTOTYPING 

Empowering car sellers by letting them directly auction their car to dealers and get complete visibility on car selling journey behind the scenes.

Contribution

Collaboration with the product analytics, tech, business, marketing, operations teams.

2 Designers(including me)

Figma, Miro, Sketch

UX Design, UI Design, Illustration, Prototyping

Skills and Tools

Team

SUMMARY

What is Direct Auctions?

Direct Auctions is a feature enabling car sellers to auction their vehicles directly to Car Dealers within OLX’s network. This benefits both parties involved. Dealers gain access to detailed information on cars to bid on, while sellers receive immediate visibility into the offered price. By bypassing intermediaries, this system enhances user trust in the platform.

Final Designs

Following numerous iterations and collaboration with Product Managers, Developers, and Testing teams, the feature was ultimately launched for our users' utilization.

The feature was introduced as an experiment to 25% of users, aiming to analyze user behavior and assess the impact of our designs.

Result

OLX Autos is an online Car trading platform. User can sell their Car, buy one from the car listings from the platform or get their purchase financed by OLX. Selling, Buying and Finance are the three verticals OLX Autos deals with. They have Android, iOS as well as Web platforms.

About OLX Autos

Existing process

Seller comes to OLX

Approximate quote provided

Final price offered

Books a car inspection

Seller fills all the car details: Self Inspection

Analysing the existing process for opportunities to increase trust and transperancy

Let’s look at the existing flow to dig deeper and identify areas of intervention.

Identifying opportunities

  1. Users appreciate getting the chance to Negotiate, something thats missing in online experiences.

Drawing from our experience with car sellers, we endeavored to pinpoint potential areas for improvement by scrutinizing the end-to-end flow and contrasting it with on-field practices.

  1. Users show lack of trust towards the pricing models as how we arrived at the final quote is not transperant.

  1. For users the most important factor is the final price offered. Users always compare prices across different platforms and will choose the best price offered for their car.

After this, the entire process becomes offline, making it difficult to keep users engaged beyond this stage.

Users aren't certain if this is the best price available, so they might leave and check other platforms.

If users don't like the price, they're likely to leave without scheduling an inspection.

Stage: Approximate quote offered

How might we design the flow to give users more visibility and transparency on the price offered?

How might we enable OLX to give the best and more accurate price?

How might we let the user have a chance to negotiate?

What Problem are we trying to solve?

PROBLEM STATEMENT

Let users sell directly to dealers

Give a sneak into how price is generated

Solution Ideation

PART 1

Designing for transparency of process and letting users directly auction their car

Enable users see track their entire end-to-end process

Current process: The OLX algorithm generates an approximate price, and after the inspection, the cart details are shared with the dealers' network. Dealers bid on the car, and the highest bid wins, determining the final price offered.

PART 2

After conducting interviews with inspection engineers and dealers, we identified additional information that should be incorporated into the existing data collection:


  1. Additional car photographs from all perspectives.

  2. Comprehensive details regarding any dents and scratches.

  3. Inclusion of interior car photographs.

Adjusting the information collection flow to provide dealers with sufficient details, thereby bypassing the need for an inspection process.

PART 3

We considered allowing users to express dissatisfaction with the offered price and also propose alternative offers.

Letting the users negotiate the offered quote.

Approximate quote provided

Auction your car directly to dealers

Additional information capture

Seller comes to OLX

Seller fills all the car details: Self Inspection

New Experimental flow

new

new

new

new

Final Price

Books a physical car inspection

Negotiate offer price

DESIGN CHALLENGE

How do we design for a complex auctioning process?

The design challenge was to simplify the concept of auctioning a car to dealers so that users can easily grasp the process and participate effectively. Additionally, it's difficult to retain users through a slightly longer flow. To address these challenges, we implemented several design interventions.

Explorations for different ways of introducing the auction proposition

Low Fidelity Designs and Exploration

Explorations around how to capture additional photos

Final Designs

Introducing the auction proposition

approximate price

value proposition of direct auctioning

clear CTA to start

explanation of the auction process to help people be informed

Additional images captured

new

previous image capture requirement

new image requirement

Designed special stencils to help users capture photos accurately

Provide end to end process tracking

Helping users have complete visibility of their car selling process

Letting users negotiate the quote online after dealers have bid on the car

if offer accepted

The expectations provided by the user are noted and visible.

A new quote is offered. They can choose to accept or reject it.

Users can provide a counter offer if they do not accept the auction offer. Use cases accounted for:


  1. If user provides a counter offer within 15% of the offered price we give positive feedback that the chances of getting the desired price are higher.

  2. If user provides a counter offer more than 15% of the offered price we give negative feedback that the chances of getting the desired price are lower.

  3. If user mistakenly provides a lower value counter offer we let the user know that.

if offer rejected

Results

After a lot of iterations, collaboration with Product Managers, Developers and Testing teams, the feature was finally launched for our users to use.


The feature was launched as an experiment to 25% users to analyse user behaviour and impact of our designs.

I believe in the enchanting power of good design, capable of weaving magic into every experience. Let's work together and make magic!


Feel free to drop an email at mrunal.dhaygude@gmail.com.


Mrunal Dhaygude