Using ‘Invisible’ AI to reduce time to hire
Guiding recruiters through a series of AI-optimised steps—Hiremii defines the ideal candidate & generates job ads in real-time.
Hiremii
4 months
Recruitment
Lead Product Designer
User research
MVP definition
UI Design
User testing
QA
Lead Product
Designer
User research
MVP definition
UI Design
User testing
QA
User research
MVP definition
UI Design
User testing
QA
Product Owner
AI Architect
Offshore dev team
CTO
CEO
Client SME
Problem
Problem
The recruitment process was time-consuming and inefficient, leading to delays in hiring and potential mismatches between candidates and job requirements.
The recruitment process was time-consuming and inefficient, leading to delays in hiring and potential mismatches between candidates and job requirements.
Goal
Goal
To streamline the hiring process by leveraging AI to automate job creation and candidate filtering, reducing time to hire and improving match quality.
To streamline the hiring process by leveraging AI to automate job creation and candidate filtering, reducing time to hire and improving match quality.
Solution
Solution
Hiremii implemented an AI-driven platform that uses ‘invisible’ AI to assist recruiters in creating job listings and filtering candidates, speeding up the hiring process and enhancing decision-making accuracy.
Hiremii implemented an AI-driven platform that uses ‘invisible’ AI to assist recruiters in creating job listings and filtering candidates, speeding up the hiring process and enhancing decision-making accuracy.
Discovery
3
Workshops
7
Interviews
3
Ethnographic
walk-throughs
What we found…
01
02
03
Recruiter goals were often misaligned with business goals, particularly around public job advertisements.
Recruiter goals were often misaligned with business goals, particularly around public job advertisements.
01
Recruiters spend a significant amount of time on administrative tasks, such as creating job descriptions—and found AI tools like ChatGPT unhelpful.
Recruiters spend a significant amount of time on administrative tasks, such as creating job descriptions—and found AI tools like ChatGPT unhelpful.
02
The most time consuming part of the process is sifting through candidates—this is where we need to focus.
The most time consuming part of the process is sifting through candidates—this is where we need to focus.
03
Current State User Flow
Summary of the 'Recruiter' user persona after interviews
Competitor analysis
Design
Ideation workshop
Initial 'top-of-mind' ideas from our first workshop
Broad future state workflow
MVP definition
Experience-base roadmap
Feature mapping for MVP definition
Wireframing
Hi-fi Design
During the design phase, the focus was on creating an intuitive user experience that integrates AI seamlessly into the recruitment workflow. I call this 'invisible' AI. I didn't want them to have to go out of their way to utilise the AI feature nor did I want them to be disrupted by the AI; it is blended into their workflow to become a normal part of the process.
During the design phase, the focus was on creating an intuitive user experience that integrates AI seamlessly into the recruitment workflow. I call this 'invisible' AI. I didn't want them to have to go out of their way to utilise the AI feature nor did I want them to be disrupted by the AI; it is blended into their workflow to become a normal part of the process.
Defining AI Agents
Outcomes
After the first phase of this project, we were able to achieve a reduction in job creation time by 85% (from 35min, down to 5min). We received positive feedback from recruiters on the ease of use & that we exceeded their expectations with our AI-driven features.
The second phase of the project, currently in development, will focus more on the candidate experience & the matching process. This will be where the core value of the app lies.
After the first phase of this project, we were able to achieve a reduction in job creation time by 85% (from 35min, down to 5min). We received positive feedback from recruiters on the ease of use & that we exceeded their expectations with our AI-driven features.
The second phase of the project, currently in development, will focus more on the candidate experience & the matching process. This will be where the core value of the app lies.