Tokopedia New
Search Experience
Transform how you explore and uncover products on Tokopedia. Experience innovation and seamlessness in your shopping journey.
Context
Search Reimagine is a 2023 project aimed at making the search and browsing experience on Tokopedia simple, more relevant, and inspiring.
The process
Gather ideas and solutions from various perspectives and user personas.
Collecting problems from product and users perspective
Cracking the problems and exploring design solutions by analyzing data.
Analyzing performance for better next experience.
Challenges
6 months of development lifecycle.
It was handled by only 2 designers who managed the entire end-to-end experience.
Summary Result
Increasing to all search metrics including CVR, CTR, ATC, and TIV
90x more clicks on initial state and increasing 400K clicks than before
Product card help to elevate CVR and TIV and boost search app performance 70-82% reported by tech analysis
Increasing number of filter and sort filter
Project Details
🎯 Objective
Provide new experience for Tokopedia search.
Create a new design value for Tokopedia search.
🔑 Responsible
Create end-to-end experiences for Tokopedia Search.
Collaborate with product managers, designers, researchers, and engineers.
Ensure all designs are delivered effectively.
💼 Scope of works
Identify key issues and areas improvement in experience.
Define 3 new search value.
Crafting explorations and detailed specifications.
Oversee and participate in the entire development process.
We start the journey..
Design Process
In our quest to optimize user experience, the first crucial step is validation and identification of issues across all search journeys. We do a workshop to refine our problems validations process, ensuring efficiency, and precision of times.
Mark The Map
To identify and pinpoint key issues and specific challenges in our search module, my team and I implemented a method we call mark the map. The goal of this process is to uncover the actual problems and determine the potential needs of users at various stages of their search journey on Tokopedia.
What is mark the map
"Mark the map" is a method we use to help identify potential points in search and browsing experience on Tokopedia.
Mark the map work by placing sticky notes on areas of the map that have potential for improvement.
Conclusion
From this understanding stage, we got a potential problems and potential area of improvements
How Tokopedia Search can be more inspiring to users.
How Tokopedia Search can help me to guide what is the perfect products for me.
DESIGN PROCESS
Steal Like A Pro
To identify our shortcomings, we compare our progress with others', a process we call this as "stealing like a pro."
We conducted a thorough benchmarking analysis of several applications (Shopee, Lazada, Tiktok, Amazon etc) to evaluate their user experience in the following scenarios:
Typing general* keywords
Typing specific* keywords
*General keyword is type of keyword when users in browsing mode. Spesific keyword is a type of keyword when user already know what user want to buy.
In this step, we work by pick a screenshots that my team and I have prepared. Participants in the workshop are then asked to select a screenshot and describe the application based on the following criteria.
Criteria 1
What and write about what we like about these applications
Criteria 2
What and write makes our application better than theirs
Criteria 3
What we can "steal" and adapt for our application, and why.
The results of our benchmarking will serve as our baseline to moving forward. By understanding our strengths, weaknesses, and areas for improvement, we can enhance the search experience on Tokopedia.
DESIGN PROCESS
Unified Problems
This phase is all about thinking and generating brilliant ideas. However, before we can provide solutions, we need to identify the problems. Me and my teams has gathered feedback that potentially highlights an issues that need to be addressed.
Product POV
Conversion Drops. User click but does not convert.
Data Session with filter lower than overall search session.
Outdated Search Experience.
Users POV
01
User can’t get the exact match product on the SRP
02
Users want to get a recommendations same as what they search
03
Search result not show same as users keyword
04
Search result showing to much distractions for users.
The next step is collaboratively with others to determine which problems to prioritize. Goal of this step is is to pick the issues that can be resolved within a packed of time. We used dot voting to ask participants to select the issues they believe are most relevant and need immediate to solve. Based on dot voting result, the problem we will address is:
How Might We
simplify the process for buyers to consume and utilize the tools and information provided?
How Might We
make search experience have good relevancy with the keyword and easily to make decisions
How Might We
users get inspired by using search while using Tokopedia.
DESIGN PROCESS
Cracking Problems
After we get the core problems we want to solve, next is time to cracking the core problems by doing a dropping idea in each of problems.
Drop. Group. Vote.
Think. Drop idea. Then
Vote which idea are posibbles to implement.
Find our focus
The purpose of this step is to generate ideas from the identified problems. From the ideas provided, my team and I are responsible for grouping similar ideas together to facilitate the creation of cohesive solution sets.
How it works
Step 1
Participants are asked to provide ideas
Step 2
Grouping the provided ideas.
Step 3
Design and product teams collaborate to analyze which ideas posibble to implement.
After getting a handful of insight, we decide to choose, analyze, and cluster similar ones into several modules on search. After clustering all into related search module, we voted and decluttering the insight into a small focused.
From our collaborative ideation session and analyzing several ideas, we noticed most of idea are talking about new feature and also giving a recommendations, because of that we decided to differentiate them into 2 categories of focus areas.
Design Impacted
The idea that related to how Tokopedia Search presents information visually.
Experience Impacted
The idea that related to how Tokopedia Search results meet user expectations.
Find and Create New Search Value
The focus of our projects are set. Now is time for us to find our new search value. How we do to find this value is put our idea that related to our findings.
Why we do this?
We need to more sharpening our value to our users. We need to know what “value” we offer to our users. So we on search team can have a unified mindset if we want to create a products.
After evaluating the potential values, we decide chose three value that soon we will use as our new search values. The new value is..
Simplicity
To declutter things. Only show what matters for users.
Relevant
Knowing what users intention to search and find products.
To Inspire
Help users to get the best one among countless choices.
Defining our new definition
On search, if user are know what they want to buy we call it as a spesific users and if user doesn’t know what they want to buy we call it as general users. We try to changed that terms into new terms with more broad pov.
Low Intention Keyword
low intent on search mean users are in browsing mode. User that on this categories are need guide and help to narrowing their intention.
High Intention Keyword
High intention means users already know what they want to buy. They need a product recommendations that help them make decision fast.
We can conclude this definition by seeing our keyword performance by last 1 years at Tokopedia. From that we analyze the keyword, user click, and user interactions with other search components than connecting the dots to make new definition for ours.
DESIGN PROCESS
Exploring Dots
Bringing the new visual for Tokopedia Search was started from here. Because of rapid time, we focus on the area that most feasible to achieve within 6 months.
Simplicity
Initial State
It’s about back to basic.
Instead showing off with various elements, we’re going low with text as main element. This simplicity help user stay focus on their intention.
Simplicity
Autocomplete
Make the content result to be more seamless and subtle, while keep the clarity between shop and product.
Now we have more room to show autocomplete.
Relevancy
To Inspire
Product Card
We give the best option of viewing the information based on keyword and user’s intention.
Relevancy
To Inspire
Low Intent Experience
Seamlessly guide user to narrowing the result. User will be encouraged to browse the SRP anyway by not flooding the page with information and focus on product image instead.
Relevancy
To Inspire
High Intent Experience
Have a more detail in product card,
in certain categories, user might have different layout (either grid or list). By having more detailed information, user can lock their decision faster.
Simplicity
Relevancy
To Inspire
Smart Guide Widget
Comes with different option based on the keyword the user had put in.
DESIGN PROCESS
Ultimate Design
Our next step is too refine and help user how user find their products and make a decision to buy a products.
Initial State
Back to basic is a way we took. We need to declutter any distractions on this page.
Problem Solved
need recommendations and feel too much distractions is problems we trying to solve. this solution can be solve the user by declutter not important things.
Autocomplete
Seamless, subtle, and clarity is a message that we bring on this page. Why we put this message is because users on this page is not taking a long time so we need to give a new experience that give a user more straight forward.
Problem Solved
Too much disctractions, hard to get recommendations based on keyword is a focus point we’re trying to solve here by showing a blending keyword suggestions and showing a straight forward message to show more other recommendations.
Product card
Adaptive product card is become our solution for this components. Why we make the adaptive product card is because we want to help users to get an informations based on their intent.
Problem Solved
Sometimes user are in browsing mode and sometime users are in full intention to search a product.
Low Intent Experience
Help user to get more inspirations and guide users to get which product they search. Why we do this is because on this experience most of user are likely in browsing mode and we need to help them to convert from browsing to converting stage.
Goals
Help to get more inspirations when their on low intentions and less user distractions while users browsing the products.
High Intent Experience
More details informations are shown on this experience. Why we do this because on this experience we need to help decreasing user considerations when they searching a products.
Goals
Can help user to get product fast by showing more detail information on certain category
Smart Widget
Rather low on high intention user in SRP are likely to get handed to help them find their products. Why we do this is to show recommendations suggestions but the recommendations is based on user control.
Problem Solved
Reduce user feeling that the result is not relevant with their search.
More from Galuh Akhdandika
Keytakeaways and Learning
Keytakeaways
Since it as my first giant project that i handled. it become a challenging because it was a new experience. i genuinely learned a lot. I discovered how designers should manage at once a multiple stakeholder, multiple cross project, and also manage internal team. From this project to, i know how to react and taking decision by thinking with a bigger picture, see as an helicopter view, make others people clever, and supporting the business needs.
Learning
Since it was a new experience for me, we need to enjoy the process.
Although this project moved very quickly, we thoroughly enjoyed it because the results of our work can help many people.
Agile and flexible, we can't always move along the same path. We need to create alternative paths to reach the same goal in different ways.
Success Metrics
18% increase click on initial state and autocomplete by generate 90x click then previous
increase 5.06% CVR on non seasonal campaign and increase 13.8% CVR on seasonal campaign
Boost 72-82% app performance reported by tech analysis.
Quick filter now have a good usage of sort and filter.
Tokopedia New
Search Experience
Tokopedia New
Search Experience
Transform how users explore and uncover products on Tokopedia. Experience innovation and seamlessness in your shopping journey.
Transform how users explore and uncover products on Tokopedia. Experience innovation and seamlessness in your shopping journey.
Context
Context
Search Reimagine is a 2023 project aimed at making the search and browsing experience on Tokopedia simple, more relevant, and inspiring.
Search Reimagine is a 2023 project aimed at making the search and browsing experience on Tokopedia simple, more relevant, and inspiring.
The process
Gather ideas and solutions from various perspectives and user personas.
Collecting problems from product and users perspective
Cracking the problems and exploring design solutions by analyzing data.
Analyzing performance for better next experience.
Gather ideas and solutions from various perspectives and user personas.
Collecting problems from product and users perspective
Cracking the problems and exploring design solutions by analyzing data.
Analyzing performance for better next experience.
Challenges
6 months of development lifecycle.
It was handled by only 2 designers who managed the entire end-to-end experience.
6 months of development lifecycle.
It was handled by only 2 designers who managed the entire end-to-end experience.
Summary Result
Summary Result
Increasing to all search metrics including CVR, CTR, ATC, and TIV
90x more clicks on initial state and increasing 400K clicks than before
Product card help to elevate CVR and TIV and boost search app performance 70-82% reported by tech analysis
Increasing number of filter and sort filter
Increasing to all search metrics including CVR, CTR, ATC, and TIV
90x more clicks on initial state and increasing 400K clicks than before
Product card help to elevate CVR and TIV and boost search app performance 70-82% reported by tech analysis
Increasing number of filter and sort filter
Project Details
🎯 Objective
Provide new experience for Tokopedia search.
Create a new design value for Tokopedia search.
Provide new experience for Tokopedia search.
Create a new design value for Tokopedia search.
🔑 Responsible
Create end-to-end experiences for Tokopedia Search.
Collaborate with product managers, designers, researchers, and engineers.
Ensure all designs are delivered effectively.
Create end-to-end experiences for Tokopedia Search.
Collaborate with product managers, designers, researchers, and engineers.
Ensure all designs are delivered effectively.
💼 Scope of works
Identify key issues and areas improvement in experience.
Define 3 new search value.
Crafting explorations and detailed specifications.
Oversee and participate in the entire development process.
Identify key issues and areas improvement in experience.
Define 3 new search value.
Crafting explorations and detailed specifications.
Oversee and participate in the entire development process.
We start the journey..
We start the journey..
Design Process
Design Process
In our quest to optimize user experience, the first crucial step is validation and identification of issues across all search journeys. We do a workshop to refine our problems validations process, ensuring efficiency, and precision of times.
In our quest to optimize user experience, the first crucial step is validation and identification of issues across all search journeys. We do a workshop to refine our problems validations process, ensuring efficiency, and precision of times.
Mark The Map
Mark The Map
To identify and pinpoint key issues and specific challenges in our search module, my team and I implemented a method we call mark the map. The goal of this process is to uncover the actual problems and determine the potential needs of users at various stages of their search journey on Tokopedia.
To identify and pinpoint key issues and specific challenges in our search module, my team and I implemented a method we call mark the map. The goal of this process is to uncover the actual problems and determine the potential needs of users at various stages of their search journey on Tokopedia.
What is mark the map
What is mark the map
"Mark the map" is a method we use to help identify potential points in search and browsing experience on Tokopedia.
Mark the map work by placing sticky notes on areas of the map that have potential for improvement.
"Mark the map" is a method we use to help identify potential points in search and browsing experience on Tokopedia.
Mark the map work by placing sticky notes on areas of the map that have potential for improvement.
Conclusion
Conclusion
From this understanding stage, we got a potential problems and potential area of improvements
How Tokopedia Search can be more inspiring to users.
How Tokopedia Search can help me to guide what is the perfect products for me.
From this understanding stage, we got a potential problems and potential area of improvements
How Tokopedia Search can be more inspiring to users.
How Tokopedia Search can help me to guide what is the perfect products for me.
DESIGN PROCESS
DESIGN PROCESS
Steal Like A Pro
Steal Like A Pro
To identify our shortcomings, we compare our progress with others', a process we call this as "stealing like a pro."
We conducted a thorough benchmarking analysis of several applications (Shopee, Lazada, Tiktok, Amazon etc) to evaluate their user experience in the following scenarios:
Typing general* keywords
Typing specific* keywords
We conducted a thorough benchmarking analysis of several applications (Shopee, Lazada, Tiktok, Amazon etc) to evaluate their user experience in the following scenarios:
Typing general* keywords
Typing specific* keywords
*General keyword is type of keyword when users in browsing mode. Spesific keyword is a type of keyword when user already know what user want to buy.
*General keyword is type of keyword when users in browsing mode. Spesific keyword is a type of keyword when user already know what user want to buy.
In this step, we work by pick a screenshots that my team and I have prepared. Participants in the workshop are then asked to select a screenshot and describe the application based on the following criteria.
In this step, we work by pick a screenshots that my team and I have prepared. Participants in the workshop are then asked to select a screenshot and describe the application based on the following criteria.
Criteria 1
What and write about what we like about these applications
What and write about what we like about these applications
Criteria 2
What and write makes our application better than theirs
What and write makes our application better than theirs
Criteria 3
What we can "steal" and adapt for our application, and why.
What we can "steal" and adapt for our application, and why.
The results of our benchmarking will serve as our baseline to moving forward. By understanding our strengths, weaknesses, and areas for improvement, we can enhance the search experience on Tokopedia.
The results of our benchmarking will serve as our baseline to moving forward. By understanding our strengths, weaknesses, and areas for improvement, we can enhance the search experience on Tokopedia.
DESIGN PROCESS
DESIGN PROCESS
Unified Problems
Unified Problems
This phase is all about thinking and generating brilliant ideas. However, before we can provide solutions, we need to identify the problems. Me and my teams has gathered feedback that potentially highlights an issues that need to be addressed.
This phase is all about thinking and generating brilliant ideas. However, before we can provide solutions, we need to identify the problems. Me and my teams has gathered feedback that potentially highlights an issues that need to be addressed.
Product POV
Product POV
Conversion Drops. User click but does not convert.
Conversion Drops. User click but does not convert.
Data Session with filter lower than overall search session.
Data Session with filter lower than overall search session.
Outdated Search Experience.
Outdated Search Experience.
Users POV
Users POV
01
01
User can’t get the exact match product on the SRP
User can’t get the exact match product on the SRP
02
02
Users want to get a recommendations same as what they search
Users want to get a recommendations same as what they search
03
03
Search result not show same as users keyword
Search result not show same as users keyword
04
04
Search result showing to much distractions for users.
Search result showing to much distractions for users.
The next step is collaboratively with others to determine which problems to prioritize. Goal of this step is is to pick the issues that can be resolved within a packed of time. We used dot voting to ask participants to select the issues they believe are most relevant and need immediate to solve. Based on dot voting result, the problem we will address is:
The next step is collaboratively with others to determine which problems to prioritize. Goal of this step is is to pick the issues that can be resolved within a packed of time. We used dot voting to ask participants to select the issues they believe are most relevant and need immediate to solve. Based on dot voting result, the problem we will address is:
How Might We
How Might We
simplify the process for buyers to consume and utilize the tools and information provided?
simplify the process for buyers to consume and utilize the tools and information provided?
How Might We
How Might We
make search experience have good relevancy with the keyword and easily to make decisions
make search experience have good relevancy with the keyword and easily to make decisions
How Might We
How Might We
users get inspired by using search while using Tokopedia.
users get inspired by using search while using Tokopedia.
DESIGN PROCESS
DESIGN PROCESS
Cracking Problems
Cracking Problems
After we get the core problems we want to solve, next is time to cracking the core problems by doing a dropping idea in each of problems.
After we get the core problems we want to solve, next is time to cracking the core problems by doing a dropping idea in each of problems.
Drop. Group. Vote.
Think. Drop idea. Then
Vote which idea are posibbles to implement.
Think. Drop idea. Then
Vote which idea are posibbles to implement.
Find our focus
Find our focus
The purpose of this step is to generate ideas from the identified problems. From the ideas provided, my team and I are responsible for grouping similar ideas together to facilitate the creation of cohesive solution sets.
The purpose of this step is to generate ideas from the identified problems. From the ideas provided, my team and I are responsible for grouping similar ideas together to facilitate the creation of cohesive solution sets.
How it works
How it works
Step 1
Step 1
Participants are asked to provide ideas
Participants are asked to provide ideas
Step 2
Step 2
Grouping the provided ideas.
Grouping the provided ideas.
Step 3
Step 3
Design and product teams collaborate to analyze which ideas posibble to implement.
Design and product teams collaborate to analyze which ideas posibble to implement.
After getting a handful of insight, we decide to choose, analyze, and cluster similar ones into several modules on search. After clustering all into related search module, we voted and decluttering the insight into a small focused.
After getting a handful of insight, we decide to choose, analyze, and cluster similar ones into several modules on search. After clustering all into related search module, we voted and decluttering the insight into a small focused.
From our collaborative ideation session and analyzing several ideas, we noticed most of idea are talking about new feature and also giving a recommendations, because of that we decided to differentiate them into 2 categories of focus areas.
From our collaborative ideation session and analyzing several ideas, we noticed most of idea are talking about new feature and also giving a recommendations, because of that we decided to differentiate them into 2 categories of focus areas.
Design Impacted
The idea that related to how Tokopedia Search presents information visually.
The idea that related to how Tokopedia Search presents information visually.
Experience Impacted
The idea that related to how Tokopedia Search results meet user expectations.
The idea that related to how Tokopedia Search results meet user expectations.
Find and Create New Search Value
Find and Create New Search Value
The focus of our projects are set. Now is time for us to find our new search value. How we do to find this value is put our idea that related to our findings.
The focus of our projects are set. Now is time for us to find our new search value. How we do to find this value is put our idea that related to our findings.
Why we do this?
Why we do this?
We need to more sharpening our value to our users. We need to know what “value” we offer to our users. So we on search team can have a unified mindset if we want to create a products.
We need to more sharpening our value to our users. We need to know what “value” we offer to our users. So we on search team can have a unified mindset if we want to create a products.
After evaluating the potential values, we decide chose three value that soon we will use as our new search values. The new value is..
After evaluating the potential values, we decide chose three value that soon we will use as our new search values. The new value is..
Simplicity
Simplicity
To declutter things. Only show what matters for users.
To declutter things. Only show what matters for users.
Relevant
Relevant
Knowing what users intention to search and find products.
Knowing what users intention to search and find products.
To Inspire
To Inspire
Help users to get the best one among countless choices.
Help users to get the best one among countless choices.
Defining our new definition
Defining our new definition
On search, if user are know what they want to buy we call it as a spesific users and if user doesn’t know what they want to buy we call it as general users. We try to changed that terms into new terms with more broad pov.
On search, if user are know what they want to buy we call it as a spesific users and if user doesn’t know what they want to buy we call it as general users. We try to changed that terms into new terms with more broad pov.
Low Intention Keyword
low intent on search mean users are in browsing mode. User that on this categories are need guide and help to narrowing their intention.
low intent on search mean users are in browsing mode. User that on this categories are need guide and help to narrowing their intention.
High Intention Keyword
High intention means users already know what they want to buy. They need a product recommendations that help them make decision fast.
High intention means users already know what they want to buy. They need a product recommendations that help them make decision fast.
We can conclude this definition by seeing our keyword performance by last 1 years at Tokopedia. From that we analyze the keyword, user click, and user interactions with other search components than connecting the dots to make new definition for ours.
We can conclude this definition by seeing our keyword performance by last 1 years at Tokopedia. From that we analyze the keyword, user click, and user interactions with other search components than connecting the dots to make new definition for ours.
DESIGN PROCESS
DESIGN PROCESS
Exploring Dots
Exploring Dots
Bringing the new visual for Tokopedia Search was started from here. Because of rapid time, we focus on the area that most feasible to achieve within 6 months.
Bringing the new visual for Tokopedia Search was started from here. Because of rapid time, we focus on the area that most feasible to achieve within 6 months.
Simplicity
Initial State
Initial State
It’s about back to basic.
Instead showing off with various elements, we’re going low with text as main element. This simplicity help user stay focus on their intention.
Simplicity
Autocomplete
Autocomplete
Make the content result to be more seamless and subtle, while keep the clarity between shop and product.
Now we have more room to show autocomplete.
Relvancy
To Inspire
Product Card
Product Card
We give the best option of viewing the information based on keyword and user’s intention.
Relevancy
To Inspire
Low Intent Experience
Low Intent Experience
Seamlessly guide user to narrowing the result. User will be encouraged to browse the SRP anyway by not flooding the page with information and focus on product image instead.
Relevancy
To Inspire
High Intent Experience
High Intent Experience
Have a more detail in product card, in certain categories, user might have different layout (either grid or list). By having more detailed information, user can lock their decision faster.
Simplicity
Relevancy
To Inspire
Smart Guide Widget
Smart Guide Widget
Helps users find products by offering suggestions that guide them to refine or replace their keywords with more specific ones.
This approach improves search accuracy.
DESIGN PROCESS
DESIGN PROCESS
Ultimate Design
Ultimate Design
Our next step is too refine and help user how user find their products and make a decision to buy a products.
Our next step is too refine and help user how user find their products and make a decision to buy a products.
Initial State
Initial State
Back to basic is a way we took. We need to declutter any distractions on this page.
Problem Solved
Problem Solved
need recommendations and feel too much distractions is problems we trying to solve. this solution can be solve the user by declutter not important things.
Need recommendations and feel too much distractions is problems we trying to solve. this solution can be solve the user by declutter not important things.
Autocomplete
Autocomplete
Seamless, subtle, and clarity is a message that we bring on this page. Why we put this message is because users on this page is not taking a long time so we need to give a new experience that give a user more straight forward.
Seamless, subtle, and clarity is a message that we bring on this page. Why we put this message is because users on this page is not taking a long time so we need to give a new experience that give a user more straight forward.
Problem Solved
Problem Solved
Too much disctractions, hard to get recommendations based on keyword is a focus point we’re trying to solve here by showing a blending keyword suggestions and showing a straight forward message to show more other recommendations.
Too much disctractions, hard to get recommendations based on keyword is a focus point we’re trying to solve here by showing a blending keyword suggestions and showing a straight forward message to show more other recommendations.
Product card
Product card
Adaptive product card is become our solution for this components. Why we make the adaptive product card is because we want to help users to get an informations based on their intent.
Adaptive product card is become our solution for this components. Why we make the adaptive product card is because we want to help users to get an informations based on their intent.
Problem Solved
Problem Solved
Sometimes user are in browsing mode and sometime users are in full intention to search a product.
Low Intent Experience
Low Intent Experience
Help user to get more inspirations and guide users to get which product they search. Why we do this is because on this experience most of user are likely in browsing mode and we need to help them to convert from browsing to converting stage.
Goals
Goals
Help to get more inspirations when their on low intentions and less user distractions while users browsing the products.
High Intent Experience
High Intent Experience
More details informations are shown on this experience. Why we do this because on this experience we need to help decreasing user considerations when they searching a products.
Goals
Goals
Can help user to get product fast by showing more detail information on certain category
Smart Widget
Smart Widget
Rather low on high intention user in SRP are likely to get handed to help them find their products. Why we do this is to show recommendations suggestions but the recommendations is based on user control.
Rather low on high intention user in SRP are likely to get handed to help them find their products. Why we do this is to show recommendations suggestions but the recommendations is based on user control.
Problem Solved
Problem Solved
Reduce user feeling that the result is not relevant with their search.
Keytakeaways and Learning
Keytakeaways and Learning
Keytakeaways
Since it as my first giant project that i handled. it become a challenging because it was a new experience. i genuinely learned a lot. I discovered how designers should manage at once a multiple stakeholder, multiple cross project, and also manage internal team. From this project to, i know how to react and taking decision by thinking with a bigger picture, see as an helicopter view, make others people clever, and supporting the business needs.
Since it as my first giant project that i handled. it become a challenging because it was a new experience. i genuinely learned a lot. I discovered how designers should manage at once a multiple stakeholder, multiple cross project, and also manage internal team. From this project to, i know how to react and taking decision by thinking with a bigger picture, see as an helicopter view, make others people clever, and supporting the business needs.
Learning
Since it was a new experience for me, we need to enjoy the process.
Although this project moved very quickly, we thoroughly enjoyed it because the results of our work can help many people.
Agile and flexible, we can't always move along the same path. We need to create alternative paths to reach the same goal in different ways.
Since it was a new experience for me, we need to enjoy the process.
Although this project moved very quickly, we thoroughly enjoyed it because the results of our work can help many people.
Agile and flexible, we can't always move along the same path. We need to create alternative paths to reach the same goal in different ways.
Success Metrics
18% increase click on initial state and autocomplete by generate 90x click then previous
increase 5.06% CVR on non seasonal campaign and increase 13.8% CVR on seasonal campaign
Boost 72-82% app performance reported by tech analysis.
Quick filter now have a good usage of sort and filter.
18% increase click on initial state and autocomplete by generate 90x click then previous
increase 5.06% CVR on non seasonal campaign and increase 13.8% CVR on seasonal campaign
Boost 72-82% app performance reported by tech analysis.
Quick filter now have a good usage of sort and filter.
More from Galuh Akhdandika
