Weploy

Creating a self-service recruitment platform

BUSINESS ANALYSIS/PRODUCT DESIGN

Weploy is an innovator in the recruitment space, providing contingent staff through its technology platform, as well as providing white-labelled recruitment technology to other organisations to power their recruitment processes.

The company has traditionally offered a 'white-glove' service model, with its talent team facilitating client-'Weployee' matching. To increase efficiency, expand services and enter new markets, Weploy is shifting to a self-service model. Clients now independently request job placements and the tech platform automates matching with pre-vetted Weployees. Clients can interact with and hire their preferred Weployee(s) with little to no involvement from the Weploy talent and sales teams. This transition aims to improve efficiency, reduce costs and broaden Weploy's market reach.

User Research

Workshop Facilitation

Business Process Mapping

Requirement Elicitation

Agile Project Management

Product Briefs, Epics & Stories

Product Design

Develop a new self-service business model while improving the existing white-glove business model

User Research

Comprehensive user research was conducted gain deep insights into the needs, behaviours and preferences of users. Competitor research, stakeholder interviews and workshops were carried out to understand expectations and pain points in the current 'white-glove' recruitment process. These insights would identify the key challenges and requirements that this project would need to be in order to successfully create a self-service model while significantly improving the existing white-glove model.

Process Mapping & User Flows

Equipped with insights from the research phase, a process map and user flows were created to define the 'self-service' business model using existing functionality within the technology platform wherever possible. Multiple rounds of refinement and validation took place, including stakeholder presentations and approvals, before finalising the process map and user flows. These formed the basis of the work that would be carried out to develop the self-service model.

Solution Design

Analysing the process map, ideas and prototypes for new features were designed to address new funtionality requirements to create a complete solution for the self-service model. Noteworthy features to transform self-service into a tangible reality: include:

  1. AI-generated candidate profiles: Leveraging interview notes and CVs collected during Weployee onboarding, OpenAI's GPT-4 API was leveraged to create concise and informative candidate profiles. These profiles empower clients to quickly evaluate candidates, eliminating the need to sift through numerous CVs.
  2. Simplify the job request: A new streamlined job request form was created that captures all the essential information about a job that is sent out to Weployees.
  3. Automated matching: Building on the new job request process, the matching of Weployees to job requests was completely automated. Weployees receive job opportunity notifications via SMS, allowing them to express their interest promptly.
  4. Simplified job pipeline: To empower clients with greater autonomy, a user-friendly kanban-style job pipeline was created. Clients can effortlessly manage the pipeline, review Weployee profiles and communicate directly with potential hires.
  5. In-App Messaging: To enable seamless and secure client-Weployee interaction, an in-app messaging feature was developed to enable clients and Weployees to communicate and see if they are the right fit for each other.
  6. Streamline position creation: The manual process of creating new positions was automated, simplifying both self-service and the white-glove model. This automation enhances efficiency and streamlines processes.

Feature Briefs & Sprint Execution

Following the Solution Design phase, the next crucial step was the development of feature briefs and sprint planning to implement the envisioned solution efficiently. This phase was characterised by feature brief creation, feature kick-offs, feature prioritisation, sprint planning, cross functional collaboration, sprint development cycles and quality assurance testing.

The introduction of the self-service product has had a profound impact on Weploy's operations. The incorporation of self-service features has brought about substantial process improvements for our internal teams, resulting in remarkable time savings achieved through newfound efficiencies. These efficiencies have collectively saved thousands of work hours.

Furthermore, the self-service model has been the cornerstone for a momentous $5,000,000 partnership with Monash University, Australia's largest university.

Notably, the introduction of self-service marks a strategic shift, enabling Weploy to enter untapped markets, including Small and Medium-sized Enterprises (SMEs), expanding our reach and service offerings.

Impact:

The self-service recruitment model ended up becoming the foundation workflow for a large partnership with Monash University and the Monash Talent products. Thanks to the workflows created the Monash Talent partnership would have the opportunity to positively impact thousands of students and hundreds of enterprise clients recruiting through Monash Talent and Weploy.

See more work

Boosting conversion through on-site search transformation

Swisse Wellness

PRODUCT MANAGEMENT

Designing robust technical solutions to ensure data protection and privacy

Monash Talent

PRODUCT MANAGEMENT