Project 3 | UX Portfolio

Futurenav

A Suite of Products for HR Professionals that Leverages AI Capabilities to Provide Insights into Hiring & Employee Retention

The Futurenav, HR Talent Acquisition, Talent Management, Line Manager and Employee Insights Screens.

User Research Overview

Every aspect of the design of the Futurenav project suite was informed by research. From product features and functionality, to ease of use and the overall look and feel of the visual design.

As the UI designer I worked closely with the UX researcher to implement her findings in an iterative fashion throughout the mid and hi-fi design phases of the project.

Research Conducted:

Multiple rounds of iterative unmoderated usability testing via Userzoom of all data dashboards and assessments.

Multiple rounds of user interviews with HR recruiters, talent managers and line managers.

Moderated usability testing with employee users.

Beta testing with the coded versions.

In total, we talked to over 124 users from a variety of disciplines, backgrounds and companies.

My Role

I was the Lead UX/UI designer on the Futurenav project, and was responsible for designing all of the assessment and data screens you see here. I worked with a cross-functional team consisting of UX researchers, AI engineers, assessment designers, a team of developers, and a product owner. Since this was a go-to-market product, I also worked closely with our branding, marketing and sales departments as well.

Futurenav is an evidence-based, configurable set of talent solutions that uncover actionable insights through skills assessments. The goal is to help HR Talent Managers, Recruiters and Line Managers improve talent acquisition, upskilling and reskilling within their organization.

The Futurenav product suite utilizes AI technology to:

Analyze user performance
Aggregate and summarize all assessment data
Build employee skill profiles from resume parsing and assessment data
Match employees with potential job opportunities based on their unique set of skills
Offer targeted upskilling training opportunities to address skills gaps

The Futurenav product suite consists of:

A soft skills assessment
A career matching tool
Five different hard skills assessments
Data/insights screens for employees and HR professionals

Futurenav Designs

The Data Dashboards

Skillprint Personal Dashboard

The Skillprint Personal Employee Dashboard

This is the main dashboard for the employee. We use AI technology to compile and summarize all assessment data we've gathered on them and provide a summary analysis and skill profile on the tiles within this page.

In addition to skills summary information, we leverage our AI technology to offer suggestions for job opportunities within the company, as well as recommendations around trainings, mentorships or short term projects.

A career exploration tool allows users to create linear and lateral career paths. Our AI helps them identify skills gaps they might have in moving to new positions and provides them with training opportunities to address these gaps.

HR Talent Acquisition Dashboard

The HR Talent Acquisition Dashboard

Extensive user testing with HR recruiters was conducted with the goal of designing a solution to their most common pain points. Recruiters at large companies need a way to intelligently sort through large quantities of applicants for available positions within the company.

While there is far more to this product than is displayed here, this dashboard allows the recruiter the ability to view the job applicant's fit to open positions across all departments within the company.

In addition, they can drill down to view the applicant pool for a particular position and drill into a specific applicant to see how their skill profile matches any available position within the company.

HR Talent Management Dashboard

The HR Talent Management Dashboard

Extensive user research was conducted with HR talent managers to understand what product features would best support them in their workflow and address some of their most common pain points.

Using AI to interpret our assessment data and matching them to a predetermined benchmark for their position, the talent manager can view the fit of all employees by department for their current positions. They can also see a detailed skill profile of the department's performance on each assessment.

In addition they can view performance data on the individual level and drill down into that individual to see a more detailed overview of their fit to their position and other potential positions within the company.

Lastly, training opportunities are offered on both the individual and department levels to help upskill employees for advancement within the company.

Line Manager Dashboard

The Line Manager Dashboard

The final data reporting product in the suite is for line managers. The Line Manager view allows the manager to view all individuals within their team and their fit to their current job based on our assessment results.

The manager can then drill down into an individual to see their performance profile, upskilling opportunities and internal job openings they might be good candidates for.

Suggested training opportunities for the manager's team are offered based on the skill profile of that team.

Open positions within the team are listed with a drill down to view a sorted list of potential applicants for the position.

The Adapt AI Assessment

The Adapt AI, Apply Subtest

The Apply Subtest

The Apply subtest is a short 15 minute modular test designed to evaluate an individual's AI literacy. It consists of an AI guided portion including the three activities you see here.

Activity 1

The first activity consists of a chatbot conversation where the user is asked questions about AI ethics and how to determine whether an AI generated response is legitimate.

Activity 2

In activity 2 the user is asked to use an AI text generator to create a document on employee engagement and asked to cite the sources used in the creation of the document. They work within a text generator and an editor to do this.

Activity 3

In this activity the user is asked to present their document to a group of fellow coworkers. We use MMAI to analyze speaking rate, fluency, eye contact, body posture, hand gestures etc. to assess verbal and non-verbal communication skills.

The Portfolio Overview Dashboard provides an overview of all the user's accounts in their portfolio.

Primary Navigation: To address the issue of the contextual navigation being hidden in the old version of the Investor platform we decided to move it to the primary navigation at the top of the page. The Portfolio, Accounts and Groups navigation categories allow the user to view their performance, balance, risk etc. from each of those three contexts.

Tile/Widget Concept: User testing of our existing Advisor product, which utilizes the tile concept revealed that users love this approach. They reported that it is a simple and intuitive method for grouping information within the dashboard.

Dashboard Configurability: This dashboard, as well as the Accounts and Account Groups Dashboards, are fully configurable by the user. The user has the ability to choose which tiles they want to display on each dashboard and hide the tiles they don't want. A list of their hidden tiles may be accessed by clicking the three dot dropdown in the header bar at the top of the page.

The Adapt AI, Reflect Subtest

The Reflect subtest is a standard likert scale item type consisting of 20 questions. It is a self assessment where the user rates their perceived performance on various AI related tasks.

The Adapt AI, Reason Subtest

The Reason subtest is a standard multiple choice item type consisting of 20 questions. User's are presented with a variety of different scenarios and asked to the select the answer that they feel fits them best.

Adapt AI Insights Page

Once the user has completed their assessment, they can view the insights page below that offers a performance profile, a skill level summary, and suggestions for improvement.

The Signal Career Interest Inventory

The Signal Interest Inventory consists of 50 likert style preference questions. Users are asked to indicate their preference on each question and are offered job matches based on their preferences.

The Career Interest Job Recommendations Page

Once the user has answered all the preference questions they are sent to the Results page. This page provides a performance profile and job matches based on that profile. Clicking on one of the job titles takes the user to detailed description of that job with education requirements, salary etc. Job matches can be based on either internal job postings or O*Net job descriptions.

The Code Assessment

The Code, Programming Subtest

The Programming Subtest

The Code assessment is a technical assessment for software engineers and consists of three sub tests, Programming, SQL Database and Front End Coding.

For the Programming subtest, the user is given a set of instructions and a scenario, and are told to choose a programming language. Once a language is chosen they are asked to enter code to satisfy the criteria detailed in the scenario.

They are then asked to compile and submit the code and view the output in the box below.

The Code, SQL Database Subtest

User Has Entered Code and Selected Execute Query.png

The SQL Database Subtest

Users on the SQL Database Subtest are asked to write an SQL query based on the data in the accompanying spreadsheet.

The Code, Front End Coding Subtest

The Front End Coding Subtest

The Front End Coding Subtest functions in much the same way as the Programming subtest where the user is given a scenario, told to choose a language and enter code into the editor. They are than asked to run the code to see its output and submit when they feel that they have met the criteria outlined in the scenario.

The Tech.Ready Assessment

The Tech. Ready, Common Applications & MS Office Subtest

The Common Applications & MS Office Subtest

The Tech.Ready assessment is a technical assessment for software engineers. It consists of three sub-tests, Common Applications and MS Office, Pseudo Code and Networking Security & Cloud.

It is a standard multiple choice style test consisting of 40 items.

To cut down on development time I applied the same page template to all three subtests.

The Tech. Ready, Pseudo Code Subtest

The Tech. Ready, Networking Security & Cloud Subtest

The Reason Assessment

The Reason, English Ability Subtest

The English Ability Subtest

The Reason assessment is a technical assessment that evaluates english language proficiency, and cognitive reasoning skills. It consists of three sub-tests, English Ability, Critical Reasoning & Problem Solving and Abstract Reasoning.

It is a standard multiple choice style test consisting of 50 items.

To cut down on development time I used the same page template that I created for the Tech.Ready assessment and I applied it to all three subtests.

The Reason, Critical Reasoning and Problem Solving Subtest

Critical Reasoning & Problem Solving.png

The Reason, Abstract Reasoning Subtest