Unlock your
potential and
transform insights
into earnings
Unlock your
potential and
transform insights
into earnings
Transforming insights into earnings
Empowering freelancers for success
Unlock your
potential and
transform insights
into earnings
Unlock your potential
Transforming insights into earnings
Upwork’s mission is to empower talent and clients by providing freelancers with clear transparency on their return on investment (ROI) on the platform and enabling clients to effectively leverage paid ads to enhance talent visibility.
Due to a Non-Disclosure Agreements, the information on this project is limited. Crafting ROI visibility
The Situation: Redefining the user experience
Logged-in freelancers, regardless of their experience level, often struggle with a lack of transparency regarding effort-to-outcome metrics tied to their personal growth, diminishing trust and reducing engagement with paid services.
To address these challenges, Upwork’s vision is to empower freelancers by providing clear transparency about their return on investment (ROI) on the platform, while also enabling clients to effectively leverage paid ads to enhance talent visibility—an essential step toward improving the overall user experience.
Why this matters:
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For Customers: Helps freelancers strategize their time and resources effectively.
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For Business: Builds trust to encourage use of monetized features.
The Problem: Making data meaningful
Logged-in freelancers, regardless of their experience level, face a lack of transparency regarding effort-to-outcome metrics tied to their personal growth, which reduces trust and engagement with paid services. Freelancers struggle with limited visibility into the time and effort spent on key actions, such as job applications and profile effectiveness, while also experiencing misalignment with client expectations.
To address these challenges, the platform is evolving from static stats to actionable insights, helping freelancers optimize their efforts. However, business challenges remain, including unclear ROI for ad spend and a reliance on trust, which must be built through clear, actionable performance data.
Core areas addressed
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Platform evolution (CRAFT): Transitioning from static stats to actionable insights that help freelancers understand and optimize their efforts.
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Monetization goal: Encouraging freelancers to engage with paid promotions like badges and proposals to enhance visibility and drive revenue.
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Business Impact: By improving transparency, freelancers are motivated to optimize their profiles, which builds trust and increases revenue streams.
Hypothesis
Clear, actionable insights will drive engagement and revenue.
Responsibilities
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Led the redesign of My Stats 3.0 to improve UX and monetization.
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Managed collaboration between design, engineering, and marketing teams.
Team members involved
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Key contributors to the project included product managers, senior product designers, a principal product designer, a senior researcher, a senior data analytics partner, the UX Director, a lead engineer, the senior director of engineering, and the GM of Product for Pricing and Monetization.
Timeline & structure summary
This project adhered to Upwork’s Amazon-inspired PDLC, structured into:
- Define: Identified pain points in user research and aligned on goals.
- Plan: Developed PRDs, wireframes, and engineering specs.
- Build: Partnered with engineers to ensure fidelity in design.
- Launch: Conducted testing, readiness reviews, and iterative improvement
Skills and tools
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Figma, Miro, user testing frameworks, and analytics platforms.
What the UX org and business unit looked like
The UX organization within the Pricing and Monetization unit was strategically structured to address the complex challenges of a marketplace platform. Our cross-functional team brought together senior designers, researchers, and product and engineering leaders to ensure every perspective contributed to solving user pain points effectively.
As a Senior Product Design Manager, I worked alongside:
Two core content & product designers
Responsible for driving the design vision and architecture, delivering detailed and impactful user experiences.
Two core product managers
Each managed one of the two distinct business verticals, guiding the product strategy with input from key stakeholders.
One core engineering director:
Led technical execution and feasibility assessments, effectively coordinating efforts across the larger engineering team.
As a firm believer in Systems Thinking, I prioritize thoughtfully considering every variable within the user experience to create scalable solutions that grow alongside our product. This approach enabled us to design features that not only meet the current needs of the gig economy but also accommodate future integrations and membership tier advancements.
By aligning with our machine learning initiatives—particularly UMA, our internal AI with expanding data capabilities—we established a strong foundation for engineering partners and emerging business units to further enhance the platform. This philosophy fostered trust and shared accountability across product and engineering teams, ensuring every decision contributed to a seamless and future-ready ecosystem.
growth and client value
Collaboration & discovery process:
The findings from this phase set the foundation for our strategic direction: evolving My Stats 3.0 into an actionable, data-driven product that builds trust, drives engagement, and empowers freelancers to see value in their efforts.
To ensure both of these challenges were addressed holistically, I led:
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Workshops with our research team, data analytics partners, and leadership in Pricing and Monetization to map the gaps across the user journey.
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Marketplace mapping sessions to align dual-sided marketplace goals—connecting freelancer growth directly to client needs.
The current state:
Why change was essential
Freelancers’ dissatisfaction with the current My Stats experience highlighted an urgent need to improve information architecture, enhance UX, and incorporate AI-driven insights to deliver real, actionable outcomes.
Key pain points identified
among freelance users :
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Text-heavy experience: The page was overloaded with static cards and blocks of text, creating friction and diminishing user engagement.
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Lack of personalization: There was no customized view to meet freelancers where they needed help most.
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Unhelpful prioritization: Critical information—like proposal effectiveness and profile optimization—was buried or surfaced ineffectively.
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Data inaccuracies: Outdated backend data further eroded trust in the stats provided.
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Poor findability: My Stats was difficult to locate (Find Work → Global Nav → My Stats), leading to limited user traffic.
Through collaboration with cross-functional teams, user research, and data analysis, we identified three key opportunities where My Stats 3.0 could deliver measurable user value while driving significant business impact.
By aligning design strategy with business goals, I ensured our approach addressed these areas holistically, setting the foundation for a more intuitive, data-driven solution.
Client satisfaction card
The current stats lack clear data to illustrate the impact freelancers have on their clients’ success, such as feedback quality, project satisfaction, or repeat hires.
Opportunity :
Improving these metrics highlights freelancer contributions, strengthens freelancer-client partnerships, and boosts user confidence in the platform.
Job discovery & communication
Freelancers struggle with limited insights into job discovery, proposal views, and interview success rates, making it hard to identify areas for improvement.
Opportunity :
Expanding metrics in these areas empowers freelancers to make smarter decisions, optimize efforts, and improve their chances of success.
Analytics & monetization enhancements
Current analytics provide limited clarity on the ROI of promoted features, such as Boosted Proposals or Availability Badges. Without benchmarks or actionable insights, freelancers are hesitant to invest.
Opportunity :
Improving analytics with clear ROI benchmarks helps freelancers see tangible results, building trust and driving greater adoption of Upwork’s monetized services.
To address gaps in visibility and actionable guidance, enhancing My Stats with AI-powered tools like Upwork UMA presents an exciting opportunity. By integrating AI, we could unlock smarter data tables and personalized recommendations, empowering freelancers to align their efforts with specific goals for more impactful outcomes.
Dynamic AI insights :
Deliver personalized guidance on activities most likely to yield a positive ROI. For example:
Extend new development environments :
Develop scalable data tables and intuitive dashboards to provide freelancers with richer insights, such as:
- Highlight top-performing proposal strategies with a +25% acceptance rate compared to baseline.
- Offer profile optimization tips that increase visibility in search results by up to 30%, driving 20% more interview invitations.
- Breakdown of earnings sources by category (e.g., project-based work: 60%, recurring clients: 35%, catalog projects: 5%).
- ROI trackers showing boosted performance metrics like a 40% improvement in job application visibility when using promotional tools such as Boosted Proposals.
to execution
This strategic alignment ensured that every design decision was laser-focused on driving revenue growth while building a marketplace that freelancers and clients could trust.
To streamline collaboration, we employed a UX capacity tracker, mapping workload distribution across the team. This allowed us to prioritize critical tasks, address bandwidth challenges, and maintain alignment with product roadmaps.
The tracker also ensured transparency for senior stakeholders, giving them a real-time view of design progress and identifying potential bottlenecks early in the process.
Trusting the process
As a Senior Product Design Manager, I played a key role in driving the team’s adherence to Upwork’s Amazon-inspired PDLC framework. By breaking the project into clearly defined stages, I ensured strategic alignment across teams, enabling efficient planning, execution, and iteration.
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Define: We focused on uncovering user needs and aligning them with business objectives, documented in a comprehensive PRD.
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Plan: Designed wireframes and specs that scoped the experience across multiple touchpoints, from proposals to profile analytics.
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Build: Managed collaboration between engineering and design to ensure feature fidelity.
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Launch (Ship & Go): Conducted iterative user testing and launch readiness reviews to fine-tune deliverables.
Define: Understand the customer experience, validate market fit, assess the opportunity, align with strategy, and secure funding.
Plan: Refine the customer experience, address dependencies, assign ownership, secure resources, and outline milestones.
Build: Develop, test, and iterate while tracking metrics and engaging stakeholders.
Ship: Stage, iterate, and release while monitoring metrics and ensuring communication.
Go: Enhance user delight, monitor impact, and align with long-term goals.
I facilitated collaboration between product, engineering, and design teams during each phase, providing leadership to tackle challenges and maintain momentum. My responsibilities included defining the vision, scoping milestones, and establishing processes that kept the team focused on user-centric outcomes while meeting business goals. This structured approach allowed us to deliver solutions effectively, tackle complex challenges with clarity and consistency, and set a foundation for continuous improvements.
Building on this foundation, I guided brainstorming sessions that unlocked divergent thinking while fostering a structured path to actionable solutions. By blending creativity with rigor, I encouraged the team to explore novel ideas while ensuring that every decision was anchored in user needs and backed by data-driven reasoning. These sessions became a launchpad for innovation, tackling pressing pain points and driving alignment across all teams.
Expanding insights and visualizing user journeys
Through Design Sprint workshops, we focused on redefining My Stats’ information architecture and creating metrics that would add meaningful value for freelancers. These sessions fostered divergent ideas, followed by alignment on key actionable insights.
Image: Conceptual visualization of My Stats’ redesigned data architecture, emphasizing metrics freelancers care about most, including visibility, response time, and satisfaction.
Key areas of focus included:
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Discoverability metrics: Insights like search impressions and keywords, helping freelancers understand and improve their profile visibility.
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Response time insights: Performance data on how quickly freelancers respond to messages and proposals, which fosters trust and better client engagement.
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Client satisfaction metrics: Clear tracking of repeat hires, ratings, and feedback, highlighting how freelancers deliver value to their clients.
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Earnings transparency: A breakdown of revenue sources, giving freelancers clarity on where their efforts yield the greatest returns.
With my guidance, these workshops balanced creativity with structure, ensuring that the final solutions aligned with user needs and business objectives. The frameworks developed during this session served as a springboard for building scalable and impactful features.
Problem framing and cross-functional alignment
In Problem framing workshops, we distilled insights from user research and data analytics to clarify the most critical pain points freelancers face. These included hurdles in job discoverability, inefficiencies in performance tracking, and a lack of collaboration among internal stakeholders to address them effectively.
Image: “Key data points: Over 1.1M users begin the job hunt, but only 9.8% progress to My Stats, with 109K engaging—revealing opportunities to enhance user journeys.”
Image: User journey Design Jam depicting job search funnel metrics, highlighting opportunities to enhance conversions and drive engagement with My Stats.
To take this forward, I provided my team with the right opportunity to dive into Cross-functional debriefs with product, research, and engineering leads.
This alignment process ensured that each discipline contributed meaningfully to the prioritization of solutions. We also highlighted critical performance metrics, such as:
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Unique users beginning the job hunt: 1,112,069 via the “Find Work Home” page.
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Natural flow conversion: Only 9.8% advancing to My Stats, revealing a significant opportunity to optimize user journeys.
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Unique users engaging with My Stats: 109,326—a baseline for measuring future improvements after redesign.
In addition, I created opportunities to engage with external partners for backend enhancements and mapped a broader ownership model to improve cross-team collaboration. These steps not only helped align priorities but also set the groundwork for clear and consistent execution.
through embedded research
Research activities at a glance:
We conducted four rounds of unmoderated and moderated sessions, consisting of 9 x 30-minute interviews with a globally diverse user group that included experienced freelancers and clients to ensure comprehensive insights.
Two key focus areas:
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Comprehension: How easy is it for users to navigate and use the My Stats page?
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Action: Do freelancers have the tools and confidence to leverage promotional products like Boosted Proposals or Availability Badges effectively?
By working closely with business partners, I ensured broad organizational alignment and active participation, fostering a collaborative environment where insights were valued and shared. This approach enabled us to synthesize findings into a unified vision that addressed user needs while aligning with strategic business objectives.
Developing the research plan
Our research plan was meticulously designed to uncover the most impactful insights, blending qualitative and quantitative methods to provide actionable outcomes. The approach prioritized understanding diverse user experiences to ensure the solutions addressed a broad spectrum of needs effectively.
To achieve this, we tested a comprehensive prototype that demonstrated how My Stats 3.0 would accommodate three distinct user variables: newbie users, advanced users, and those in between. This prototype highlighted personalized paths, showcasing tailored metrics and recommendations for users at varying levels of experience with the platform.
View prototype
By integrating these user-specific insights into our design framework, the prototype served as a proof of concept for how the final product could drive engagement and align user growth with business objectives.
Image: Example list of user interviews and guided prototypes utilized during moderated sessions to uncover insights and improve designs.
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Moderated user interviews: Allowed us to gather deep qualitative feedback, understanding the motivations and frustrations of freelancers and clients.
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Usability testing: Provided insights into prototype functionality and emotional resonance, ensuring designs addressed user pain points effectively.
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Data analytics: Leveraged platform engagement metrics to identify underperforming aspects of the current My Stats experience and pinpoint areas for improvement.
This comprehensive research setup aligned seamlessly with business goals, creating a systematic roadmap to define and address user needs. It provided the foundation for insights that shaped key focus areas within our ongoing discovery process.
With a clear understanding of the challenges faced by freelancers and clients, I worked with my team to translate research findings into actionable strategies that aligned user needs with business goals. This approach ensured that our solutions addressed immediate pain points while laying the groundwork for future innovation across business units.
Aligning AI for long-term success:
To future-proof My Stats, we incorporated UMA, Upwork’s internal AI, into the strategic roadmap to deliver advanced capabilities. By embedding real-time performance analysis, personalized recommendations, and predictive analytics into the My Stats UI, we aim to empower users with actionable insights that enhance decision-making and align with growth objectives.
Image: My Stats: Embedded recommendations and real-time insights dynamically appear in the dashboard, offering users actionable guidance on optimizing their performance
Top three areas of AI integration:
Real-time performance analysis :
Embedded analytics cards provide live updates on metrics like proposal success rates, search impressions, and profile views, helping users identify areas of improvement at a glance.
Personalized recommendations :
Recommendations widgets offer tailored suggestions within the UI, such as refining response times or optimizing keywords to improve visibility and engagement.
Forecasting tools :
Predictive analytics panels display future trends, like demand shifts and ROI projections, to help users strategize effectively based on historical data and emerging patterns.
These areas of integration directly addressed user challenges and opportunities highlighted during research, transforming My Stats into a dynamic, user-first decision-making platform that blends AI insights with a seamless and forward-looking design.
This evolution redefined how users interacted with their metrics, offering intuitive experiences tailored to their growth trajectories while ensuring actionable insights were always within reach.
Understanding that innovation requires both strategy and execution, we also focused on how these improvements would integrate holistically across the customer journey. By embedding AI-driven features, such as personalized recommendations and predictive analytics, My Stats became a vital tool that empowered freelancers and clients alike to optimize their performance.
Ownership models :
Dedicated teams were identified to maintain and expand My Stats’ core features and metrics, ensuring long-term consistency.
Integration across tools :
Seamless connections between My Stats and other key initiatives like Project Catalog and Talent Scout created a unified user experience.
Holistic alignment :
System gaps were addressed by improving catalog visibility, educating users on acceptance impacts, and enhancing understanding of the platform’s value.
Fostering ownership and system thinking
As we continued to foster ownership and think through all the variables within our customer journey, we wanted to ensure these solutions were sustainable and scalable. I worked with my team to guide and drive these solutions before the build stage of our development cycle through cross-functional discussions with business partners. These conversations helped establish ownership models and align development priorities.
The outcomes provided a clear understanding of roles and expectations, allowing us to seamlessly transition from insights to action. By doing so, we not only resolved immediate challenges but also laid the foundation for AI-powered growth and system-wide innovation in the next phase of My Stats.
Vision and execution
in the Build Phase
Aligning product development with user insights and business goals.
Strategic user-centric design
Our process was informed by user insights gathered through moderated and unmoderated research sessions. Each iteration emphasized simplicity, usability, and alignment with our design principles of being focused, functional, and empowering. These principles served as the foundation of every decision, ensuring that users could easily navigate the platform while accessing actionable content tailored to their needs.
Iterative design refinement
Image 1: A collaborative view of the iterations in Miro illustrating our evolving architecture within the larger user journey. Image 2: A simplified view designed for reviews and clarity in understanding.
Our refined architecture established a multi-tiered system with multiple entry points, ensuring that freelancers (FL) at any level can access “My Stats” seamlessly through avenues such as Global nav > Find Work > My Stats and potential access via their Profile Page or Profile Drop-down.
Working closely with the Engineering and Architecture teams, we collaborated to rethink the system architecture and establish a new foundational user flow that supports these enhanced experiences while aligning with long-term platform goals. Weekly rituals in Miro allowed us to iterate quickly, ensuring all cross-functional insights were captured and integrated into evolving designs.
2
Testing the content
1
3
Newbie I :
A user who just signed up and hasn’t sent a proposal yet may still be setting up their account. An assistive UMA AI feature could guide them in building their profile and exploring the platform, providing tailored suggestions to help them get started.
Newbie II :
A user who has sent proposals but hasn’t been hired may need insights to improve their chances. We could introduce guidance through promotional monetization options or scaled membership tiers, highlighting how enhanced membership impacts their ROI.
Experienced user :
Freelancers who have sent proposals and garnered hires can benefit from personalized insights based on their activity. By leveraging more advanced linguistics in UMA AI‘s machine learning, we can provide actionable advice to help them navigate the platform effectively.
This architectural foundation paved the way for effective design iterations. Through meticulous planning and execution, we focused on creating a fluid user experience that caters to various user scenarios. Each round of design testing was informed by user feedback, enabling us to uncover better refinements and simplifications.
Image: Rapid iteration: Showcasing the various design rounds tested to enhance user experiences.
This constant cycle of feedback and improvement allowed us to move rapidly, going from zero to one in our development life cycle. In considering specific user scenarios, we effectively integrated the assistive and embedded features of UMA AI into our product development timeline, enhancing the overall user engagement and satisfaction.
By breaking down each of these areas, we ensured that the user journey was not only seamless but also deeply aligned with user needs. The ultimate goal was to refine and iterate on these critical components, providing clarity, enhancing communication, and significantly improving the overall platform experience.
Refining navigation for seamless user journeys:
This targeted effort focused on redesigning the logged-in global navigation to create a more intuitive and seamless user experience. By emphasizing specific “why” scenarios, we aligned our approach to ensure that user needs were at the forefront of our decisions. Through collaborative workshops, we engaged the entire team, helping everyone understand the underlying principles guiding our design choices and fostering a culture of ownership and accountability that reflects our values.
Image: Proposed concepts for the redesign of global navigation presented to the cross-functional team.
Clarifying new features with marketing and customer success:
Collaborating closely with marketing and customer success teams, we worked diligently to decode new features, enhancing users’ understanding of Job Success Score (JSS). By increasing visibility and credibility, we ensured freelancers could leverage their JSS effectively, thus attracting more clients and job opportunities.
New learning materials and resources on Upwork Academy for enhanced development:
The introduction of new enchanted features opened avenues for educational content on Upwork Academy. Over 119K learning paths were created, with 30K courses completed, highlighting our commitment to continuous development for freelancers.
Integrating machine learning with our Uma AI:
Incorporating insights from our UMA AI platform, we are enhancing the way freelancers and clients connect on Upwork. This integration bridges the gap between machine learning and user experience, supporting future-ready growth and paving the way for innovative features that provide personalized experiences in line with Upwork’s overarching vision and goals.
Upwork’s artificial intelligence approach leverages machine learning and natural language processing to streamline the freelance hiring process. Powered by the UMA AI system, this technology intelligently matches clients with the most relevant freelancers based on skills, project requirements, and past performance. This significant advancement reduces the time and effort needed to find suitable talent for both freelancers and clients.
For more information on the larger UMA experience and how it enhances freelance interactions, visit Upwork’s UMA AI.
How we achieved this:
- Data Insights: Utilized user analytics to inform the development of UMA AI, ensuring it accurately reflects actual user behaviors and needs.
- Personalization: Developed algorithms that generate dynamic content and tailored recommendations based on user activity, enhancing engagement and satisfaction.
- Feedback Loops: Established ongoing feedback mechanisms to continually refine UMA AI’s accuracy and effectiveness, fostering an adaptive and responsive user experience.
As we navigated through this build phase, our commitment to Upwork’s core values was paramount. We prioritized a customer-first approach, ensuring the success of both clients and freelancers.
By building great teams, we fostered collaboration toward shared goals, while our bias towards action encouraged proactive decision-making at every level.
I focused on creating a sense of ownership within my team through three key actions:
Purposeful empowerment:
Encouraging team members to take initiative in their projects, fostering a culture of accountability.
Collaborative workshops:
Facilitating regular discussions to align on goals and integrate diverse perspectives.
Feedback loops:
Establishing structured sessions to refine our designs and approaches iteratively.
Throughout this process, the team felt increasingly positioned for success and growth.
They embraced the opportunities that arose, feeling supported and inspired. Team members expressed their gratitude for a leadership style that prioritized both innovation and personal development.
Kudos from the Team:
”Being part of Eli's team has truly accelerated my growth as a product designer. He fosters a safe environment that allows me to explore my creativity while always providing the support I need. His leadership inspires me to share my authentic self and push my boundaries to excel.
Lydia K.
”His ability to connect different areas of the product has been invaluable. Eli always looks for opportunities for collaboration and encourages us to learn from one another.
Alex M.
By upholding our working principles of open communication and collaboration, we ensured a successful design process that not only met our objectives but also reinforced a positive and inclusive team culture.
Quality control and
readiness for launch
Our focus on seamless experiences empowers freelancers' earnings potential.
Final preparations for success
In my role as a leader, I guided the team through complex challenges, emphasizing the importance of developing design strategies that create seamless user experiences.
As we prepared for the launch phase, it was essential to summarize our journey and highlight the final steps taken to ensure quality control and readiness. I encouraged open dialogue within the team as we articulated our vision to executive leadership, showcasing polished design elements and integrating valuable feedback to enhance our offering.
In this phase, our focus shifted to deepening our understanding of the key metrics essential for benefiting our users post-launch. This collaborative approach was vital in enhancing the product and ensuring it resonated with users’ needs. As the team continued to learn and adapt, we recognized how these metrics aligned with our larger strategic initiatives, fostering a system-thinking mindset throughout the project.
Moving forward, we will actively monitor incoming metrics and data to guide our continued efforts and inform decision-making. By analyzing user feedback and performance indicators, we aim to refine our strategies and improve the user experience further. This foundation has allowed us to identify four key areas where the team will focus, creating a more impactful strategic path as we evolve alongside our users’ needs.
Higher job success score (JSS) in freelancing
The job success score (JSS) is one of the most critical metrics for freelancers on platforms like Upwork, serving as a key indicator of their ability to meet client expectations effectively. To enhance this experience, we introduced a total of six refined tabs designed to provide freelancers with better insights and resources. These updates significantly impact the JSS, influencing how freelancers navigate opportunities and foster relationships.
Key improvements include:
- Score requirements: Higher job success score (JSS) requirements ensure freelancers maintain high standards for performance and client satisfaction.
- Client satisfaction: JSS reflects client satisfaction by gauging how effectively freelancers meet expectations, serving as a clear performance measure.
- Long-term relationships: A strong JSS fosters trust and reliability, encouraging long-term relationships between freelancers and clients, which benefits both parties.
Image: Highlights of the guided tour experience within the app, showcasing how new features provide additional insights to enhance user engagement.
Image: Visual representation of the new features designed to enhance freelancers’ earnings potential and improve their overall experience on Upwork.
Enhancements to freelancer earnings potential
The addition of new features significantly enhances freelancers’ earnings potential by providing valuable tools that improve their overall experience on Upwork. With a focus on transparency and recognition, these updates empower freelancers to better track their progress and showcase their achievements, ultimately influencing their success in securing new contracts.
Key improvements include:
- Simplified transaction history: Freelancers can now easily track their income and financial progress, allowing for informed decision-making regarding future projects.
- Upwork badging system: The integration of a badging system highlights freelancers’ accomplishments, attaching badges to profiles upon job completion, which signals reliability and proven capabilities to potential clients.
- Increased visibility with Connects: Enhanced features allow freelancers to maximize their visibility by effectively managing their connects, providing better access to job opportunities and ensuring they can easily apply for relevant projects.
Image: Overview of how improved profile metrics and proposal visibility empower freelancers to enhance their performance and attract more clients on Upwork.
Profile metrics and proposal visibility
Improved profile metrics enable freelancers to gain valuable insights into their performance on Upwork. These metrics allow them to track key indicators such as proposal success rates, client feedback, and completion timelines, fostering a deeper understanding of their strengths and areas for improvement.
Additionally, the enhancement of proposal visibility significantly increases the chances of securing new projects. By showcasing their capabilities through a well-optimized profile, freelancers can attract potential clients more effectively. This dual focus on metrics and visibility empowers freelancers to strategically position themselves in a competitive marketplace, ultimately leading to greater opportunities for collaboration and success.
Testing the content
Image: The final design embodies a user-centered, intuitive solution achieved through strategic alignment, cross-functional collaboration, and iterative refinement.
This project reinforced the importance of detailed documentation and organization throughout the Product Development Life Cycle (PDLC). From planning and defining to building and launching, I ensured that key documents—such as Architecture Design Docs, UX Brief Decks, and Resource Capacity trackers—were well-organized and easily accessible.
I am deeply thankful for the team’s dedication to owning their destiny, playing to win as a cohesive unit, and sweating the details to get every aspect right. By fostering collaboration, empowering ownership, and embracing iteration, we transformed a critical problem into a remarkable success. The improvements in contract start rates and user satisfaction highlighted the power of user-centered design to drive meaningful business outcomes.
• Experienced user: Navigating success through insights
and user trust:
Top three areas of AI integration:
Real-time performance analysis :
Embedded analytics cards provide live updates on metrics like proposal success rates, search impressions, and profile views, helping users identify areas of improvement at a glance.
Personalized recommendations :
Recommendations widgets offer tailored suggestions within the UI, such as refining response times or optimizing keywords to improve visibility and engagement.
These areas of integration directly addressed user challenges and opportunities highlighted during research, transforming My Stats into a dynamic, user-first decision-making platform that blends AI insights with a seamless and forward-looking design.
This evolution redefined how users interacted with their metrics, offering intuitive experiences tailored to their growth trajectories while ensuring actionable insights were always within reach.
Thank You!
