Redefining Search in Electronics
Redefining Search in Electronics
Helping users make confident high value purchases
Helping users make confident high value purchases
I contributed to the design of Smart Search for Electronics during a product exploration sprint at Flipkart.
The project focused on improving how users discover high value, non returnable electronics by introducing a guided helper within the search experience.
I contributed to the design of Smart Search for Electronics during a product exploration sprint at Flipkart.
The project focused on improving how users discover high value, non returnable electronics by introducing a guided helper within the search experience.
I contributed to the design of Smart Search for Electronics during a product exploration sprint at Flipkart.
The project focused on improving how users discover high value, non returnable electronics by introducing a guided helper within the search experience.
Product
Product
Mobile
Mobile
Timeline
Timeline
Jul 2023 - Oct 2023
Jul 2023 - Oct 2023
Skills
Skills
User Research & Testing
User Research & Testing
Product Design
Product Design
Buying expensive electronics feels
risky, confusing, and overwhelming
with little guidance or room for error.
Buying expensive electronics feels
risky, confusing, and overwhelming
with little guidance or room for error.
Buying expensive electronics feels
risky, confusing, and overwhelming
with little guidance or room for error.
Problem
Problem
Guide the user to make the right choice when choosing electronics
Guide the user to make the right choice when choosing electronics
Guide the user to make the right choice when choosing electronics
A different poll reported 48% of respondents said they ended up stuck with wrong products over the past year because of restrictive return policies.
A different poll reported 48% of respondents said they ended up stuck with wrong products over the past year because of restrictive return policies.
Recognising the gap, we saw this amazing opportunity to help our users have more confidence in the high value stuff they buy
Recognising the gap, we saw this amazing opportunity to help our users have more confidence in the high value stuff they buy
Research
Research
A survey done by me with around 60 participants, 68% of consumers reported unhappy with return and refund experiences on the platform
A survey done by me with around 60 participants, 68% of consumers reported unhappy with return and refund experiences on the platform
Confusing Choices
Confusing Choices
Confusing Choices
Users are overwhelmed by too many options, unclear product basics, and confusing comparisons.
Users are overwhelmed by too many options, unclear product basics, and confusing comparisons.
Technical Overload
Technical Overload
Technical Overload
Excessive jargon and complex specifications make it hard for beginners to understand products.
Excessive jargon and complex specifications make it hard for beginners to understand products.
Fear of Wrong Decisions
Fear of Wrong Decisions
Fear of Wrong Decisions
Concerns about making the wrong investment or buying incompatible products hold users back.
Concerns about making the wrong investment or buying incompatible products hold users back.
Limited Support
Limited Support
Limited Support
Restricted return options and lack of guidance leave users feeling uncertain and unsupported.
Restricted return options and lack of guidance leave users feeling uncertain and unsupported.
Solution
Solution
To address the challenges users face when buying electronics online, we enhanced our in-house assistant Flippi with a guided feature that asks the right questions and provides input options to filter products effectively. Each solution component was designed to be intuitive, flexible, and reusable.
To address the challenges users face when buying electronics online, we enhanced our in-house assistant Flippi with a guided feature that asks the right questions and provides input options to filter products effectively. Each solution component was designed to be intuitive, flexible, and reusable.
Guided Decision Flow
Guided Decision Flow
A simple 4 to 5 step question flow captures user intent before showing recommendations.
By clarifying purpose, performance needs and constraints early, the assistant eliminates noise and delivers precise recommendations.
A simple 4 to 5 step question flow captures user intent before showing recommendations.
By clarifying purpose, performance needs and constraints early, the assistant eliminates noise and delivers precise recommendations.
Get clarity
before you buy
Get clarity
before you buy
Compact Discoverability
Compact Discoverability
The UI element for this feature is concise and unobtrusive, appearing only when users need guidance. It doesn’t overwhelm the page or interfere with browsing, making the assistance feel natural rather than intrusive.
The UI element for this feature is concise and unobtrusive, appearing only when users need guidance. It doesn’t overwhelm the page or interfere with browsing, making the assistance feel natural rather than intrusive.
NLP Support in Vernacular Langugages
NLP Support in Vernacular Langugages
The feature leverages natural language processing to understand user inputs in multiple languages. This allows Flippi to interpret requests, answer clarifying questions, and guide users even if they use non-technical terms or mixed language phrases.
The feature leverages natural language processing to understand user inputs in multiple languages. This allows Flippi to interpret requests, answer clarifying questions, and guide users even if they use non-technical terms or mixed language phrases.
Customizable
Customizable
Since the core structure of Flippi was already developed, we could seamlessly integrate this new feature. It’s reusable across multiple categories and doesn’t require rebuilding the assistant from scratch, allowing quick deployment and consistent performance.. Built-in multiple selection options allow users to specify preferences easily. The feature is fully customizable, independent of other Flippi modules, and can adapt to different product categories or user requirements without additional coding.
Since the core structure of Flippi was already developed, we could seamlessly integrate this new feature. It’s reusable across multiple categories and doesn’t require rebuilding the assistant from scratch, allowing quick deployment and consistent performance.. Built-in multiple selection options allow users to specify preferences easily. The feature is fully customizable, independent of other Flippi modules, and can adapt to different product categories or user requirements without additional coding.
Next Steps
Next Steps
Although this feature wasn’t shipped, it laid the groundwork for enhancing Flippi’s guidance capabilities. The next steps would involve testing the prototype with real users to validate the question flow and filtering logic, refining the UI for clarity and ease of use, and integrating analytics to track user interactions. Future iterations could expand the assistant’s reach across more product categories, support richer multi-language inputs, and provide personalized recommendations based on past behavior, ensuring a more confident and seamless shopping experience.
Although this feature wasn’t shipped, it laid the groundwork for enhancing Flippi’s guidance capabilities. The next steps would involve testing the prototype with real users to validate the question flow and filtering logic, refining the UI for clarity and ease of use, and integrating analytics to track user interactions. Future iterations could expand the assistant’s reach across more product categories, support richer multi-language inputs, and provide personalized recommendations based on past behavior, ensuring a more confident and seamless shopping experience.
