Frequently Asked Questions

Everything You Need to Know About Epitome

From psychometrics and fit scoring to workforce intelligence, here is how the platform works and what teams usually ask before they launch.

Request a DemoBack to Home

Five intelligence layers

Start with one layer or combine all five as your programme matures.

Ten supported languages

The interface supports English, Bahasa Indonesia, Bahasa Malaysia, Arabic, Vietnamese, Simplified Chinese, Traditional Chinese, Tagalog, Thai, and Khmer.

Fast time to value

Teams can begin with role intelligence and tailored frameworks before any deep systems integration.

Browse by topic

Platform Overview

What Epitome is, who it serves, and how the platform is positioned.

Assessments and Fit

How profiling, competency evidence, and fit scoring work together.

Role Intelligence and Planning

How external benchmarks and the intelligence pipeline support workforce decisions.

Implementation and Operations

What a rollout needs, how teams work together, and where to begin.

AI, Data, and Language Support

How AI is used, where the platform runs, and what multilingual support looks like.

Platform Overview

What Epitome is, who it serves, and how the platform is positioned.

What is Epitome?
Epitome is an integrated workforce intelligence platform that brings together role intelligence, competency assessment, person profiling, AI fit scoring, and workforce planning in one environment. It is designed to help organisations see the whole person, not just the CV.
Who is the platform designed for?
It supports both B2B and B2C journeys. Candidates can complete assessments and view their profile insights, while managers, recruiters, and workforce leaders can build roles, compare talent, and plan future capability needs.
How is Epitome different from an ATS or HRIS?
An ATS helps manage hiring workflow and an HRIS stores employee records. Epitome focuses on intelligence: psychometrics, competency evidence, role benchmarks, fit analysis, and workforce planning signals that help teams make stronger talent decisions.
Do we need to use every part of the platform?
No. Each layer is designed to create value on its own. Some teams start with role intelligence and framework generation, while others begin with candidate assessment and fit scoring. The platform is modular, so you can expand over time.

Assessments and Fit

How profiling, competency evidence, and fit scoring work together.

What assessments are available today?
Current assessments include Catalyst Lite, competency assessments with knowledge questions and case studies, a value profile, and fuller interest and preference profiling. Together they capture personality preferences, interests, values, and applied capability.
How does fit scoring work?
The fit engine combines psychometric patterns with competency evidence to calculate role fit. Rather than giving only one opaque score, the platform is designed to show the main drivers of fit, highlight likely strengths, and surface the gaps that may need development or closer review.
Can assessments be tailored to our organisation or roles?
Yes. Managers can upload job descriptions and supporting documents to generate tailored competency frameworks, question sets, and role profiles. This helps the assessment process reflect your context rather than relying only on generic templates.
Can candidates complete assessments remotely?
Yes. The assessment experience is built as a guided digital flow, so candidates can complete it online. Managers can then review outcomes, fit signals, and follow-up recommendations inside the same platform.

Role Intelligence and Planning

How external benchmarks and the intelligence pipeline support workforce decisions.

What role intelligence data powers the platform?
Epitome can draw on a large occupation and skills dataset through the EG Framework, including occupation records, skills taxonomies, cross-framework mappings, and salary benchmarks. This allows role design and planning work to be grounded in external labour market evidence.
Can we map internal roles to recognised frameworks?
Yes. The role intelligence layer supports crosswalk views between occupations and related skills frameworks. That makes it easier to benchmark internal roles, compare similar jobs, and build a more consistent job architecture.
What happens in the workforce intelligence pipeline?
The workforce intelligence pipeline turns uploaded job information into structured outputs such as skills profiles, labour market context, transition pathways, and strategic recommendations. It is intended to help leaders move from raw documents to clearer planning decisions.
How quickly can we start seeing value?
Teams can usually start seeing value quickly, especially in early layers such as role intelligence, skills benchmarking, and framework generation. Deeper organisational value grows as more role data, assessments, and fit signals are added.

Implementation and Operations

What a rollout needs, how teams work together, and where to begin.

Do we need HRIS integration before we start?
No. The platform is designed to deliver value without requiring HRIS integration on day one. That makes it practical for pilots, client demos, and phased roll-outs where the first goal is proving usefulness before deeper systems work.
What does implementation usually require from our team?
A strong starting point is a small set of role documents, a decision on which language or languages to enable, and clarity on the first use case you want to solve. From there, teams can add managers, invite candidates, and refine frameworks iteratively.
Can managers and candidates use the same platform?
Yes. The platform includes separate candidate and manager experiences. Candidates focus on assessments and personal insights, while managers focus on roles, invites, fit scores, analytics, and workforce planning.
Is the platform suitable for pilots as well as broader roll-outs?
Yes. The modular design makes it suitable for a small proof of value, a targeted hiring workflow, or a broader workforce intelligence programme. Organisations do not need to commit to every workflow at once.

AI, Data, and Language Support

How AI is used, where the platform runs, and what multilingual support looks like.

How is AI used in the platform?
AI is used to support tasks such as competency framework generation, question generation, case study grading, career suggestions, and workforce intelligence outputs. It is there to accelerate analysis and drafting, with human review still important for high-stakes decisions.
Where does our data live?
The current architecture uses a Next.js frontend with a Convex backend, plus a Python API for role intelligence and certain AI workflows. Exact deployment and data handling choices can be aligned with the environment used for your implementation or demo.
Which languages are supported for the interface?
The platform currently supports English, Bahasa Indonesia, Bahasa Malaysia, and Arabic. Arabic also supports right-to-left presentation so the interface feels native rather than merely translated.
Are the translated experiences production-ready?
The current multilingual setup is well suited for demos and early client conversations. Because some translations are machine-assisted, organisations should still review high-stakes wording, especially psychometric or assessment-related content, before large-scale production use.

Still have questions?

If you want a walkthrough for your organisation, we can help you choose the right starting point and shape the rollout around your priorities.

Request a DemoEmail Us