To find out how to improve candidate experience using Recruitment Automation, we have a great eBook on candidate experience.
Hiring with heart is good for business: candidate experience in C-19 times. Sapia launches its Candidate Experience eBook. This book provides an insight into the changing face of the candidate experience and sheds light on the candidate experience meaning in today’s context.
If there was ever a time for our profession to show humanity for the job searchers, that time is now. Unemployment in Australia has passed a two-decade high. The trend is similar for other countries. That means there are a lot more candidates in the market looking for work.
With so many more candidates, the experience of a recruiting process matters more. What are candidates experiencing? Are they respected, regardless of whether they got the job or not? Is their application appreciated? Are they acknowledged for that?
This is where improve candidate experience initiatives come into play.
There is a much higher value attached to it – both for candidates and your organisation.
This story won’t be unfamiliar to you: An Australian based consulting firm, possibly in need of a candidate experience consultancy, advertised for a Management Consultant and decided to withdraw the advert after 298 candidates had applied. That was during their candidate experience day in the first week of advertising.
When candidate supply outstrips demand, that is bound to happen. Inundation of your Talent Acquisition team becomes an everyday thing. Employers are feeling swamped with job applications. Being effective is much harder when there are more candidates to get through every day.
>> When the role for which you are hiring requires a relatively low skill level.
In the example provided above, the Management Consultant role had several essential requirements that should have limited applications in the context of high-volume hiring. Included in the applicant list were hoteliers, baristas, waiting staff, and cabin crew (it’s heartbreaking). So, when it comes to roles with a much lower barrier to entry, the application numbers can quadruple.
The traditional ‘high-volume low-skill role’ has now become excruciatingly high-volume. This trend is being seen across recruitment for roles like customer service staff, retail assistants and contact centre staff.
>>When your organisation is a (well-loved) consumer brand.
Frequently, candidates will apply to work for brands that they love. Fans of Apple products, work for Apple. They also apply to work and get rejected in their millions. So, how do you keep people as fans of your brand when around 98% of them will be rejected in the recruiting process? That’s not only a recruiting issue – it’s a marketing issue too.
Thousands of organisations and their Talent Acquisition teams are grappling with both dynamics right now.
The combination of unemployment and being in Covid-19 lockdown means that consumer buying is being impacted. Their confidence is down. Buying is also down. With people applying for more jobs and spending less as consumers, the hat has somewhat switched. For many who were consumers, they have now become candidates. That may be how they are currently experiencing your brand. As candidates first, customers second.
Candidate experience is defined as the perception of a job seeker about an organisation and their brand based on their interactions during the recruiting process. Customer experience is the impression your customers have of your brand as a whole throughout all aspects of the buyer’s journey.
Is there a difference? It’s all about how the human feels when interacting with your brand. A person is a person, regardless of the hat they are wearing at the time!
Millions, even billions, of dollars are spent each year by organisations crafting a positive brand presence and customer experience. Organisations have flipped 180 degrees to become passionately customer-centric. It makes sense to do so. Put your customers first, and that goes straight to the bottom line.
What is perhaps less recognised is the loss of revenue and customer loyalty which is directly attributed to negative candidate experiences.
How about those loyal customers who want to work for your brand? They eagerly apply for a job only to get rejected.
For those who have tried in the past, you may well know that it can take an extraordinarily long time to ‘define’ a Candidate Experience strategy, create its metrics, find a budget and then execute on it.
Have a look inside the ‘too hard’ basket and there you may well find many thousands of well-meaning ‘candidate experience’ initiatives, that are still lying dormant! So many want to focus on candidate experience, but may shy away from doing so. This is because it’s perceived as time-consuming and expensive.
Plus, right now there is so much on which CHROs need to focus. From ensuring workers’ wellbeing to enabling remote working. Who has the time to also worry about the experiences of candidates?
However, that has changed. Boosting candidate experience is no longer too hard, too expensive, nor too time-consuming. Technology becomes more manageable, quicker and cheaper over time. Also (borrowing from Moore’s law), its value to users grows exponentially.
The good news is that for those organisations who genuinely want to improve candidate experience, it has become much easier to do so. Finally, it is possible to give great experiences at scale while also driving down costs and improving efficiencies.
Win-win is easily attainable. In the Sapia Candidate Experience Playbook, read how organisations are hiring with heart. All by creating positive experiences for candidates while also decreasing the workload for the hiring team.
Retail leaders have embraced AI to improve supply chains, automate checkout, and enhance customer experience. But what about finding the people who deliver that customer experience?
AI brings incredible possibilities to supercharge how retailers hire, develop, and retain talent.
At Sapia.ai, we helped iconic retailers like Woolworths, Starbucks, Holland & Barrett, and David Jones reimagine hiring from the ground up – replacing resumes, ghosting, and gut feel with structured, ethical AI that delivers performance and fairness at scale.
The Retail Problem: Volume, Turnover, and Ghosting
Retail is high volume. It’s high churn. And it’s high stakes for candidate experience:
And yet, most hiring still relies on broken tools: resumes, forms, manual processes, and outdated systems.
Sapia.ai: The AI-Native Hiring Engine Built for Retail
Our platform automates the entire “apply to decide” journey, leveraging AI & automation to streamline the hiring process & bring intelligence into retail hiring.
Smart Interviewer™: Mobile-first, chat-based, structured interviews for a holistic candidate assessment.
Live Interview™: AI-driven bulk interview scheduling without calendar chaos.
InterviewAssist™: Instant interview guide generation.
Discover Insights: Embedded analytics to track hiring health in real-time.
Phai: GenAI coach for career and leadership potential.
Unlike resume parsing or generic chatbots, Sapia.ai assesses soft skills, communication, and culture fit using natural language processing and validated psychometrics. It’s ethical AI built in, not bolted on.
From Application to Interview in Under 24 Hours
Candidates don’t want to wait. They don’t want to be ghosted. And they don’t want resumes to define them.
> 80% of Sapia.ai chat interviews are completed in under 24 hours.
We see consistently high completion across categories: grocery, merchandising, home improvement, and luxury retail.
“It was fast, fair, and I actually got feedback. That never happens.” – Retail Candidate Feedback
Real Impact, Across Every Retail Category
Sapia.ai powers hiring for millions of candidates across diverse retail environments:
Impact of Sapia.ai on Retail Hiring in 2024 | |||
Category | Hours Saved | FTEs Saved | Cost Saved |
Grocery | 272k | 131 | $6.5m |
General Merchandise | 193k | 93 | $4.6m |
Specialty Retail | 133k | 64 | $3.2m |
Home Improvements | 103k | 50 | $2.5m |
Merchandising | 22k | 11 | $0.5m |
Luxury | 9k | 4 | $0.2m |
The savings created by intelligent, AI-native automation have unlocked team capacity, impacted retailers’ P&L, and improved store readiness.
Speed That Delivers Real ROI
Every candidate gets interviewed instantly. No waiting. No bias. Just fast, fair, data-backed decisions. This generates real impact for retailers who previously relied on slow, outdated processes to handle thousands of applicants.
DEI by Design, Not by Mandate
With Sapia.ai:
DEI Fairness Scores (based on actual hiring data):
Gender: 1.03 (vs customer baseline of 1.01)
Ethnicity: 1.15 (vs customer baseline of 0.74)
Why? Because ethical AI removes what humans can’t unlearn: bias. With a candidate experience that is inclusive by design, retailers can ensure fairness in screening, and measure it in hiring.
Candidate Experience = Brand Experience
Retail candidates are your customers. And the experience you give them matters. We have built a brand advocacy engine that delights candidates and gives you the data to prove it.
Responsible, Explainable AI Built for Retail
Not all AI is created equally. Since 2018, Sapia.ai has been built on a foundation of responsible AI:
“We can’t go back to life before Sapia.ai. We used to spend half the day reading resumes.”
— Talent Lead, Starbucks AU
What’s at Stake: Time, Brand, and Revenue
Every day spent using outdated hiring methods costs retailers:
With Sapia.ai, you get the productivity unlock retail hiring demands, and the intelligence your talent deserves.
Want to see how fast, fair, and human retail hiring can be?
We can’t hide from reality anymore. Talent needs are shifting overnight, and AI is redefining what it means to work. Traditional talent frameworks are no longer fit for purpose. At Sapia.ai, we believe the future of talent strategy lies in a smarter, fairer, and more adaptive way of defining what great looks like.
Our AI hiring platform is built on the largest proprietary dataset of interview answers globally – we’re a data company at heart, and we’ve seen the power of data-driven people methodology in transforming how organisations hire and retain good talent.
So, when it came to building a new Competency Framework that could be leveraged globally for hiring for any role at any scale, of course, we used a ground-up, data-led methodology that bridges the gap between organisational psychology and AI.
Conventional frameworks are typically crafted through expert interviews and focus groups. While valuable, they tend to be subjective, static, and too slow to keep pace with evolving job demands. As roles become more fluid and technology augments or replaces task-based skills, organisations need a new way to understand the human capabilities that genuinely matter for performance.
We wanted to identify enduring, job-agnostic competencies that reflect what drives success in a modern workplace – capabilities like adaptability, resilience, learning agility, and customer orientation.
(Why competencies and not just skills? Read why here.)
Sapia.ai’s methodology is rooted in the science of human behaviour but powered by cutting-edge AI. We asked two core questions:
The answer to both: yes.
We began with a rich dataset of over 37,000 job descriptions across industries and role types. Using large language models (LLMs) and advanced NLP techniques, we extracted over 200,000 behavioural descriptors. These were distilled down through a four-step process:
This resulted in a refined list of 25 human-centric competencies, each with clear behavioural indicators and practical relevance across a wide range of roles.
Our framework is intelligent, but importantly, it’s adaptive. Organisations can apply this methodology to their own job descriptions to discover custom competencies. This bottom-up, role-data-led approach ensures alignment to real work, not just theoretical models.
And because the framework integrates directly with our AI-powered hiring tools, you get a connected system that brings your talent strategy to life.
Our framework comes to life in the following tools:
Skills alone cannot predict success. Competencies do. As AI continues transforming how we work, Sapia.ai’s Competency Framework offers a scalable, scientific, and fair foundation for hiring and developing the talent of tomorrow.
If you’re a CHRO or Head of Recruitment at an enterprise today, chances are you’ve been inundated with messages about the importance of “skills-based hiring.” LinkedIn’s recent Work Change Report (2025) is full of compelling data: a 140% increase in the rate at which professionals are adding new skills to their profiles since 2022, and a projection that by 2030, 70% of the skills used in most jobs today will have changed.
This is essential reading. But there’s a missed opportunity: the singular focus on “skills” fails to acknowledge the real metric that talent leaders need to be using to future-proof their workforce — competencies.
But skills on their own — even soft ones — are generic, disjointed, and often disconnected from real-world performance. In contrast:
Put simply, competencies answer the all-important question: Can this person apply the right skills, in the right way, at the right time, to deliver results in our environment?
The Work Change Report outlines a future where job titles are fluid, roles evolve quickly, and AI is a constant disruptor. This creates three massive challenges for hiring at scale:
Skills alone don’t tell us whether someone can succeed in a role that will look different 12 months from now. But competencies can. Because they measure not just what a person knows, but how they apply it.
The LinkedIn report highlights a critical insight: organisations now prioritise agility in entry-level hiring. And there’s a good reason for that. With professionals expected to hold twice as many jobs over their careers compared to 15 years ago, adaptability is not just a nice-to-have. It’s core to success.
But you can’t measure agility with a keyword on a CV. You measure it by looking at competencies like:
When you shift the focus away from skills to behavioural competencies that can be defined, observed, and assessed in structured ways, you open yourself up to a much more dynamic and more useful way of managing talent.
To hire effectively at scale, particularly in a technology-driven world of work, talent leaders must shift their lens:
LinkedIn’s data shows that people are learning more skills more quickly than ever. But the real question for talent leaders like you is: Are those skills being applied in ways that drive value? Are we hiring for task proficiency or performance?
The truth is that the organisations that will thrive in an AI-driven, skills-fluid economy aren’t the ones chasing the next hot skill. They’re the ones designing systems to identify, develop and scale competence.
Sapia.ai has developed a comprehensive Competency Framework using a data-driven approach. Download the full paper here.