Client Experiences
What HR Teams Say About Working With Us
Honest accounts of how Singapore HR teams have used our engagements — and what they found useful, and sometimes challenging, along the way.
Back to Home85+
Completed engagements
4.9
Average satisfaction score
93%
Clients who engaged again
100%
Deliverables on time
Client Reviews
From HR Teams Across Singapore
"We came in expecting a data dashboard. What we got was a structured conversation about the questions we were actually trying to answer — and a report that our CHRO could present directly to the board. That shift in framing made all the difference."
Siew Lin Pang
Head of People Analytics · Financial Services, Singapore
February 2025
"The HR Data Quality Assessment was a useful reality check. We had assumed our data was in reasonable shape. The findings showed us three specific areas where gaps were going to create problems if we tried to move forward with analytics. Knowing that saved us from a frustrating few months."
Ravi Nair
VP Human Resources · Technology Group, Singapore
January 2025
"The recruitment review was thorough. I appreciated that the team was direct about where AI tools would not actually improve our process — rather than just recommending adoption across the board. That kind of honest assessment is what we needed from an external perspective."
Amanda Toh
Talent Acquisition Lead · Regional Retail Group, Singapore
January 2025
"What I valued most was the walkthrough session. We had read the report, but having Persana walk us through the findings and push back on some of our initial interpretations was where the real value was. It changed how we thought about a couple of the recommendations."
Kelvin Yeo
Chief People Officer · Logistics Company, Singapore
February 2025
"We are a small HR team and were cautious about whether an external engagement would give us anything we could actually act on within our constraints. The data quality assessment was well-scoped and the recommendations were prioritised in a way that acknowledged our capacity. We have already worked through the top two items."
Mei-Ling Joo
HR Manager · Healthcare Services, Singapore
December 2024
"The talent analytics engagement helped us see patterns in attrition that we had been explaining away anecdotally for over a year. The structured analysis showed us clearly where the risk was concentrating and why. We are still working through the implications, but we are finally having the right conversation."
Daniel Foo
CHRO · Professional Services Firm, Singapore
January 2025
Success Stories
Selected Case Summaries
A closer look at three engagements — the context, what we did, and what it led to.
Case Study 01 — Financial Services, 400+ Employees
Understanding Attrition Patterns in a Restructuring Context
Challenge
The HR team was losing experienced staff at an elevated rate and receiving conflicting accounts from exit interviews and manager feedback. Leadership needed to understand whether the attrition was driven by compensation, management quality, career progression gaps, or the restructuring itself — not a combination of all four equally.
What We Did
A Talent Analytics engagement drawing on 3 years of HR, performance, and organisational data. We modelled attrition by team, tenure band, performance quartile, and reporting line. The engagement took 6 weeks from data access to final walkthrough.
Outcome
The analysis identified two specific business units and one management layer as the primary concentration of risk, with tenure between 2–4 years as the most vulnerable band. HR used the findings to redirect retention investment more precisely, rather than applying a uniform approach across the organisation.
Case Study 02 — Regional Retail Group, Singapore HQ
AI Adoption in a High-Volume Recruitment Function
Challenge
The talent acquisition team was under pressure to adopt AI screening tools to manage volume. The HR Director wanted an independent view on which parts of their process were genuinely candidates for AI support — and which carried fairness risks they had not yet considered.
What We Did
An AI-Assisted Recruitment Process Review covering the full hiring funnel from job posting through offer stage. The review included stakeholder interviews with hiring managers and TA team members, and a fairness analysis of current screening criteria.
Outcome
We identified three specific stages where AI support was appropriate and two where it was not. The AI risk briefing was presented to the HR Director and used to inform a vendor evaluation process. The team moved forward with a more targeted adoption plan than originally intended.
Case Study 03 — Healthcare Services, 120 Employees
Establishing a Realistic Starting Point for HR Analytics
Challenge
A mid-size healthcare services organisation wanted to develop an HR analytics capability but had no clear picture of whether their data was in a state to support it. They had received conflicting advice from their HRIS vendor and a previous consultant.
What We Did
An HR Data Quality Assessment reviewing employee records, performance data, and learning history across their HRIS. The engagement completed in 2.5 weeks and produced a findings report with a prioritised set of data hygiene actions.
Outcome
The report confirmed that a meaningful analytics capability was achievable, but identified four specific data quality issues that needed to be resolved first. The organisation has since addressed two of the four and has a clearer timeline for when they can realistically begin analytical work.
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