case-study
Conclusion
Why does this solution work?
It helped recruiters transition from using Google Forms or Notion to a more efficient hiring system.
Recruiters were able to identify top talent more efficiently, streamlining the hiring process, by leveraging AI-driven insights. Additionally, eliminating fragmented experiences provided a seamless upgrade that saved recruiters valuable time, enhancing overall workflow efficiency.
Takeaways
What were the key learnings from this project?
Speed matters moving fast allowed us to test, learn, and adapt while slow progress killed momentum.
UX is also education, clear design and guidance helped users trust AI and integrate it into their workflows.
Prioritization is key focusing on real problems instead of extra features made the MVP more effective.
Honest evaluation saves time recognizing gaps early helped us make better decisions and avoid wasted effort.
This is now an MIT-licensed project, and I look forward to seeing others build upon it and take it even further.
Visual design of the dashboard
Step 1: Map & Monitor the hiring pipeline
Establish a clear, real-time view of talent acquisition process using a centralized dashboard. Define stages from sourcing to offer and receive automated updates on bottlenecks or priority actions—eliminating guesswork and enabling data-driven decisions.
View hiring pipeline after posting a job
Step 2: Utilize Precision AI Search
Leverage intuitive AI prompts to surface ideal candidates instantly. Describe your needs in plain language “Find ML engineers from Boston proficient in Context Extraction” and let the system analyze your talent pool, and data to deliver tailored results. No more manual keyword tweaking; refine outcomes dynamically as priorities evolve.
Use prompt to find the best talent
Step 3: Review AI-Matched Candidate Profiles
Instantly access a curated list of qualified candidates dynamically aligned with your search criteria. The system prioritizes profiles based on skills and experience. Save candidate profiles or dive deeper with one-click access to full resumes and predictive scoring, no more manual cross-referencing or platform hopping
Candidates profile based on query
Step 4: AI Vetting of Candidate Profiles
Our AI system synthesizes data from 8+ professional sources (LinkedIn, portfolios, certifications, etc.) and applies contextual analysis to identify core competencies and career progression patterns. This approach transforms fragmented work histories into coherent talent profiles, enabling recruiters to assess qualifications holistically.
AI Vetting of candidate profile to assess qualifications
Vidur OS 1.0 is an open-source recruiting platform streamlining hiring processes through features such as AI-powered candidate search, one-click applications, and customizable plugins. As an integral contributor to its development, I led two critical initiatives for Humanitarians AI's Project ProfileCity, directly contributing to the platform's innovative foundation.
Transparent employer feature
Problem: Candidates lacked critical workplace insights, forcing them to seek third-party platforms.
AI-driven recruitment efficiency
Problem: Recruiters wasted hours while manually screening applicants across disjointed tools.
Timeline
Sep 2024 - Dec 2024
Collaborators
Responsibilities
UX Design
Visual Design
Interaction Design
Tools
Figma
Figjam
Google Docs
Discord
Ideation
How do I understand my users?
User stories for improving candidate experience
User stories for improving company profile experience
Brainstorming
Why we wanted to redesign?
The lack of actionable insights in the existing design created a gap in functionality, making it difficult for candidates to evaluate potential employers and for companies to attract the right talent. By redesigning the company overview section, we sought to bridge this gap, improving candidate decision-making and enabling companies to showcase their unique value propositions in a meaningful way.
Brainstorming and Grouping elements required for the redesign
Iterations
To address the identified pain points, I began iterating on potential solutions by outlining the necessary features and elements that would provide value to both candidates and companies. This iterative process focused on bridging the information gap, ensuring the design addressed user needs effectively while aligning with business goals.
Version 1, added information to position the company
New designs based on the feedback from the stakeholders
Final visual designs, including all the required sections
Preparing designs for production
After 4 weeks of iterative design and stakeholder testing, we finalized the feature and successfully pushed the code to production. This process ensured that the solution met user needs while aligning with business goals, marking a significant milestone in improving the company overview experience on the career site.
Justifying my design decisions before the launch of the feature
Pre-launch shenanigans
How was I able to optimize the design-to-development workflow?
Created and maintained detailed design specs (margins, padding) to ensure developer clarity and reduce implementation errors.
Partnered closely with developers through weekly meetings and iterative feedback loops to resolve issues early, cutting revision cycles and accelerating launches.
Post-launch imapct
The project succeeded with 15% faster development, smoother implementation, and high stakeholder satisfaction. Detailed specs and comprehensive documentation reduced repetitive issues and aided future work.
Helping recruiters to hire efficiently using AI
AI-driven dashboard for recruiters
Why was there a need to update?
Our HRTech platform needed a more effective recruiter dashboard. The existing version was going to be decapitated, we were on the verge of launching Version 2.0. I aimed to create a solution with measurable business impact and ship designs fast.
I ditched traditional design processes to focus on execution and timely delivery
I advocated for Lean UX to validate ideas, minimize risk, and ensure efficient solutions. This approach enabled data-driven decisions and smart pivots. This fail-fast approach made it easier to design the userflows while adhering to tight deadlines.
What was the goal?
The original recruiter workflow was fragmented and time-intensive, requiring decision-making across multiple platforms.
Original workflow for recruiters
"How might we simplify the recruiter's workflow by consolidating fragmented systems into a unified dashboard, enabling more efficient and effective candidate evaluations"
The redesigned process streamlines candidate sourcing by unifying tools into a single AI-powered interface. This integration eliminates manual cross-platform searches, reduces cognitive load, and accelerates talent matching through intelligent automation. Recruiters can now identify qualified candidates faster due to a centralized experience.
Updated workflow for recruiters using AI
Overview
Timeline
Impact
How I revamped the Company Profile feature?
User stories
the reason
the reason
the reason
p2
p2
p2
p2
p2
Project Timeline
The release of Vidur OS under Project ProfileCity involved tackling two distinct but critical projects: Project 1 - Transparent employer feature and Project 2 - AI-driven recruitment efficiency. Each project followed a structured yet adaptive approach to address unique challenges and deliver impactful solutions.
Fig-1 Timeline of the projects during my time at Humanitarians
Drag the wand to see the revamped page
What changes did we want?
We aimed to create a feature where companies could share comprehensive information about themselves. This would allow candidates to quickly assess companies at a glance, empowering them to make informed decisions while enabling companies to present their brand effectively.
"How might we redesign the company overview section to provide candidates with the essential information they need while helping companies effectively showcase their brand?"
Analyzing issues with the existing UI
What was not working?
The existing company overview section failed to provide value to users. Through secondary research, I discovered that candidates required more detailed information about companies before applying, but the current design lacked this functionality.
Existing problems with the interface
Streamlining company profile and recruiter workflows for Vidur 1.0
Vidur OS 1.0 is an open-source recruiting platform streamlining hiring processes through features such as AI-powered candidate search, one-click applications, and customizable plugins. As an integral contributor to its development, I led two critical initiatives for Humanitarians AI's Project ProfileCity, directly contributing to the platform's innovative foundation.
Transparent employer feature
Problem: Candidates lacked critical workplace insights, forcing them to seek third-party platforms.
AI-driven recruitment efficiency
Problem: Recruiters wasted hours while manually screening applicants across disjointed tools.
Timeline
Sep 2024 - Dec 2024
Collaborators
Responsibilities
UX Design
Visual Design
Interaction Design
Tools
Figma
Figjam
Google Docs
Discord
Project Timeline
The release of Vidur OS under Project ProfileCity involved tackling two distinct but critical projects: Project 1 - Transparent employer feature and Project 2 - AI-driven recruitment efficiency. Each project followed a structured yet adaptive approach to address unique challenges and deliver impactful solutions.
Fig-1 Timeline of the projects during my time at Humanitarians
Impact
Addressed feedback to align designs with business goals, increasing stakeholder satisfaction by 10%.
Used atomic components to cut development time by 15%, enabling faster feature delivery.
Designed a recruiter dashboard that improved candidate selection efficiency by 25%.
Integrated data from 8 platforms to create unified, comprehensive candidate profiles.
How I revamped the Company Profile feature?
Drag the wand to see the revamped page
What changes did we want?
We aimed to create a feature where companies could share comprehensive information about themselves. This would allow candidates to quickly assess companies at a glance, empowering them to make informed decisions while enabling companies to present their brand effectively.
"How might we redesign the company overview section to provide candidates with the essential information they need while helping companies effectively showcase their brand?"
Analyzing issues with the existing UI
What was not working?
The existing company overview section failed to provide value to users. Through secondary research, I discovered that candidates required more detailed information about companies before applying, but the current design lacked this functionality.
Existing problems with the interface
Ideation
How do I understand my users?
The user stories helped identify the key needs of each group: candidates required clear and concise company information to make informed decisions, while companies needed a structured way to showcase their brand effectively.
User stories for improving candidate experience
User stories for improving company profile experience
Brainstorming
Why we wanted to redesign?
The lack of actionable insights in the existing design created a gap in functionality, making it difficult for candidates to evaluate potential employers and for companies to attract the right talent. By redesigning the company overview section, we sought to bridge this gap, improving candidate decision-making and enabling companies to showcase their unique value propositions in a meaningful way.
Brainstorming and Grouping elements required for the redesign
Iterations
To address the identified pain points, I began iterating on potential solutions by outlining the necessary features and elements that would provide value to both candidates and companies. This iterative process focused on bridging the information gap, ensuring the design addressed user needs effectively while aligning with business goals.
Version 1, added information to position the company
New designs based on the feedback from the stakeholders
Final visual designs, including all the required sections
Preparing designs for production
After 4 weeks of iterative design and stakeholder testing, we finalized the feature and successfully pushed the code to production. This process ensured that the solution met user needs while aligning with business goals, marking a significant milestone in improving the company overview experience on the career site.
Justifying my design decisions before the launch of the feature
Pre-launch shenanigans
How was I able to optimize the design-to-development workflow?
Created and maintained detailed design specs (margins, padding) to ensure developer clarity and reduce implementation errors.
Partnered closely with developers through weekly meetings and iterative feedback loops to resolve issues early, cutting revision cycles and accelerating launches.
Post-launch imapct
The project succeeded with 15% faster development, smoother implementation, and high stakeholder satisfaction. Detailed specs and comprehensive documentation reduced repetitive issues and aided future work.
Helping recruiters to hire efficiently using AI
AI-driven dashboard for recruiters
Why was there a need to update?
Our HRTech platform needed a more effective recruiter dashboard. The existing version was going to be decapitated, we were on the verge of launching Version 2.0. I aimed to create a solution with measurable business impact and ship designs fast.
I ditched traditional design processes to focus on execution and timely delivery
I advocated for Lean UX to validate ideas, minimize risk, and ensure efficient solutions. This approach enabled data-driven decisions and smart pivots. This fail-fast approach made it easier to design the userflows while adhering to tight deadlines.
What was the goal?
The original recruiter workflow was fragmented and time-intensive, requiring decision-making across multiple platforms.
Original workflow for recruiters
"How might we simplify the recruiter's workflow by consolidating fragmented systems into a unified dashboard, enabling more efficient and effective candidate evaluations"
The redesigned process streamlines candidate sourcing by unifying tools into a single AI-powered interface. This integration eliminates manual cross-platform searches, reduces cognitive load, and accelerates talent matching through intelligent automation. Recruiters can now identify qualified candidates faster due to a centralized experience.
Updated workflow for recruiters using AI
Visual design of the dashboard
Step 1: Map & Monitor the hiring pipeline
Establish a clear, real-time view of talent acquisition process using a centralized dashboard. Define stages from sourcing to offer and receive automated updates on bottlenecks or priority actions—eliminating guesswork and enabling data-driven decisions.
View hiring pipeline after posting a job
Step 2: Utilize Precision AI Search
Leverage intuitive AI prompts to surface ideal candidates instantly. Describe your needs in plain language “Find ML engineers from Boston proficient in Context Extraction” and let the system analyze your talent pool, and data to deliver tailored results. No more manual keyword tweaking; refine outcomes dynamically as priorities evolve.
Use prompt to find the best talent
Step 3: Review AI-Matched Candidate Profiles
Instantly access a curated list of qualified candidates dynamically aligned with your search criteria. The system prioritizes profiles based on skills and experience. Save candidate profiles or dive deeper with one-click access to full resumes and predictive scoring, no more manual cross-referencing or platform hopping
Candidates profile based on query
Step 4: AI Vetting of Candidate Profiles
Our AI system synthesizes data from 8+ professional sources (LinkedIn, portfolios, certifications, etc.) and applies contextual analysis to identify core competencies and career progression patterns. This approach transforms fragmented work histories into coherent talent profiles, enabling recruiters to assess qualifications holistically.
AI Vetting of candidate profile to assess qualifications
Conclusion
Why does this solution work?
It helped recruiters transition from using Google Forms or Notion to a more efficient hiring system.
Recruiters were able to identify top talent more efficiently, streamlining the hiring process, by leveraging AI-driven insights. Additionally, eliminating fragmented experiences provided a seamless upgrade that saved recruiters valuable time, enhancing overall workflow efficiency.
Takeaways
What were the key learnings from this project?
Speed matters moving fast allowed us to test, learn, and adapt while slow progress killed momentum.
UX is also education, clear design and guidance helped users trust AI and integrate it into their workflows.
Prioritization is key focusing on real problems instead of extra features made the MVP more effective.
Honest evaluation saves time recognizing gaps early helped us make better decisions and avoid wasted effort.
This is now an MIT-licensed project, and I look forward to seeing others build upon it and take it even further.
Check out the next case study
Impact
Addressed feedback to align designs with business goals, increasing stakeholder satisfaction by 10%.
Used atomic components to cut development time by 15%, enabling faster feature delivery.
Designed a recruiter dashboard that improved candidate selection efficiency by 25%.
Integrated data from 8 platforms to create unified, comprehensive candidate profiles.
Check out the next case study
Streamlining company profile and recruiter workflows for Vidur 1.0
Vidur OS 1.0 is an open-source recruiting platform streamlining hiring processes through features such as AI-powered candidate search, one-click applications, and customizable plugins. As an integral contributor to its development, I led two critical initiatives for Humanitarians AI's Project ProfileCity, directly contributing to the platform's innovative foundation.
Transparent employer feature
Problem: Candidates lacked critical workplace insights, forcing them to seek third-party platforms.
AI-driven recruitment efficiency
Problem: Recruiters wasted hours while manually screening applicants across disjointed tools.
Timeline
Sep 2024 - Dec 2024
Collaborators
Responsibilities
UX Design
Visual Design
Interaction Design
Project Timeline
The release of Vidur OS under Project ProfileCity involved tackling two distinct but critical projects: Project 1 - Transparent employer feature and Project 2 - AI-driven recruitment efficiency. Each project followed a structured yet adaptive approach to address unique challenges and deliver impactful solutions.
Fig-1 Timeline of the projects during my time at Humanitarians
Impact
Addressed feedback to align designs with business goals, increasing stakeholder satisfaction by 10%.
Used atomic components to cut development time by 15%, enabling faster feature delivery.
Designed a recruiter dashboard that improved candidate selection efficiency by 25%.
Integrated data from 8 platforms to create unified, comprehensive candidate profiles.
How I revamped the Company Profile feature?
Drag the wand to see the revamped page
Analyzing issues with the existing UI
What was not working?
The existing company overview section failed to provide value to users. Through secondary research, I discovered that candidates required more detailed information about companies before applying, but the current design lacked this functionality.
Existing problems with the interface
What changes did we want?
We aimed to create a feature where companies could share comprehensive information about themselves. This would allow candidates to quickly assess companies at a glance, empowering them to make informed decisions while enabling companies to present their brand effectively.
"How might we redesign the company overview section to provide candidates with the essential information they need while helping companies effectively showcase their brand?"
Ideation
How do I understand my users?
The user stories helped identify the key needs of each group: candidates required clear and concise company information to make informed decisions, while companies needed a structured way to showcase their brand effectively.
User stories for improving candidate experience
User stories for improving company profile experience
Brainstorming
Why we wanted to redesign?
The lack of actionable insights in the existing design created a gap in functionality, making it difficult for candidates to evaluate potential employers and for companies to attract the right talent. By redesigning the company overview section, we sought to bridge this gap, improving candidate decision-making and enabling companies to showcase their unique value propositions in a meaningful way.
Brainstorming and Grouping elements required for the redesign
Iterations
To address the identified pain points, I began iterating on potential solutions by outlining the necessary features and elements that would provide value to both candidates and companies. This iterative process focused on bridging the information gap, ensuring the design addressed user needs effectively while aligning with business goals.
Version 1, added information to position the company
New designs based on the feedback from the stakeholders
Preparing designs for production
After 4 weeks of iterative design and stakeholder testing, we finalized the feature and successfully pushed the code to production. This process ensured that the solution met user needs while aligning with business goals, marking a significant milestone in improving the company overview experience on the career site.
Justifying my design decisions before the launch of the feature
Pre-launch shenanigans
How was I able to optimize the design-to-development workflow?
Created and maintained detailed design specs (margins, padding) to ensure developer clarity and reduce implementation errors.
Partnered closely with developers through weekly meetings and iterative feedback loops to resolve issues early, cutting revision cycles and accelerating launches.
Helping recruiters to hire efficiently using AI
AI-driven dashboard for recruiters
Why was there a need to update?
Our HRTech platform needed a more effective recruiter dashboard. The existing version was going to be decapitated, we were on the verge of launching Version 2.0. I aimed to create a solution with measurable business impact and ship designs fast.
I ditched traditional design processes to focus on execution and timely delivery
I advocated for Lean UX to validate ideas, minimize risk, and ensure efficient solutions. This approach enabled data-driven decisions and smart pivots. This fail-fast approach made it easier to design the userflows while adhering to tight deadlines.
What was the goal?
The original recruiter workflow was fragmented and time-intensive, requiring decision-making across multiple platforms.
Original workflow for recruiters
"How might we simplify the recruiter's workflow by consolidating fragmented systems into a unified dashboard, enabling more efficient and effective candidate evaluations"
The redesigned process streamlines candidate sourcing by unifying tools into a single AI-powered interface. This integration eliminates manual cross-platform searches, reduces cognitive load, and accelerates talent matching through intelligent automation. Recruiters can now identify qualified candidates faster due to a centralized experience.
Updated workflow for recruiters using AI
Visual design of the dashboard
Step 1: Map & Monitor the hiring pipeline
Establish a clear, real-time view of talent acquisition process using a centralized dashboard. Define stages from sourcing to offer and receive automated updates on bottlenecks or priority actions—eliminating guesswork and enabling data-driven decisions.
View hiring pipeline after posting a job
Step 2: Utilize Precision AI Search
Leverage intuitive AI prompts to surface ideal candidates instantly. Describe your needs in plain language “Find ML engineers from Boston proficient in Context Extraction” and let the system analyze your talent pool, and data to deliver tailored results. No more manual keyword tweaking; refine outcomes dynamically as priorities evolve.
Use prompt to find the best talent
Step 3: Review AI-Matched Candidate Profiles
Instantly access a curated list of qualified candidates dynamically aligned with your search criteria. The system prioritizes profiles based on skills and experience. Save candidate profiles or dive deeper with one-click access to full resumes and predictive scoring, no more manual cross-referencing or platform hopping
Candidates profile based on query
Step 4: AI Vetting of Candidate Profiles
Our AI system synthesizes data from 8+ professional sources (LinkedIn, portfolios, certifications, etc.) and applies contextual analysis to identify core competencies and career progression patterns. This approach transforms fragmented work histories into coherent talent profiles, enabling recruiters to assess qualifications holistically.
AI Vetting of candidate profile to assess qualifications
Conclusion
Why does this solution work?
It helped recruiters transition from using Google Forms or Notion to a more efficient hiring system.
Recruiters were able to identify top talent more efficiently, streamlining the hiring process, by leveraging AI-driven insights. Additionally, eliminating fragmented experiences provided a seamless upgrade that saved recruiters valuable time, enhancing overall workflow efficiency.
Takeaways
What were the key learnings from this project?
Speed matters moving fast allowed us to test, learn, and adapt while slow progress killed momentum.
UX is also education, clear design and guidance helped users trust AI and integrate it into their workflows.
Prioritization is key focusing on real problems instead of extra features made the MVP more effective.
Honest evaluation saves time recognizing gaps early helped us make better decisions and avoid wasted effort.