# Cyprus Tech EVP Study — Methodology

**Research snapshot:** September 2026  
**Version:** 1.1  
**Author:** Olesia Botsieva

## Research question

How differentiated are the employer brands competing for technology talent in Cyprus?

## Sample

The study analyses **30 Cyprus-based or Cyprus-hiring technology employers** and **90 Cyprus-relevant job advertisements** — three vacancies per employer for balanced comparison.

Three candidate-facing communication layers were reviewed:

1. Career pages
2. Job advertisements
3. Recent public employer content

The sample intentionally focuses on employers with an identifiable candidate-facing employer proposition. It should not be interpreted as a population estimate for every technology employer operating in Cyprus.

## What was measured

Career-page communication was assessed across five dimensions:

- Specificity
- Distinctiveness
- Candidate Value Clarity
- Evidence
- Cross-channel Consistency

Additional analysis included semantic EVP theme coding, a Logo Swap Test, employer-promise QA and an international senior talent lens.

## Public scoring rubric (1–5)

The study uses five qualitative assessment dimensions. **Version 1.1 formalises the public anchors for the existing scoring framework** so readers can inspect how low, medium and high scores should be interpreted. Scores remain expert judgements rather than statistical measurements.

### Specificity

| Score | Public anchor |
|---|---|
| **1** | Mostly abstract claims; little or no description of concrete practices, context or examples. |
| **2** | Occasional specific detail, but communication is still dominated by broad employer language. |
| **3** | A visible mix of generic claims and concrete practices; the employer experience is partly tangible. |
| **4** | Most priority claims are expressed through concrete practices, examples, context or clearly defined ways of working. |
| **5** | Communication is consistently precise and richly specific, using distinctive details, examples, mechanisms or quantified context where relevant. |

### Distinctiveness

| Score | Public anchor |
|---|---|
| **1** | Proposition is highly interchangeable with competitors and relies almost entirely on category language. |
| **2** | A small number of differentiated cues appear, but the overall proposition remains mostly generic. |
| **3** | Some recognisable employer-specific cues are present, alongside substantial category language. |
| **4** | Several ownable cues are clearly tied to this employer’s product, culture, working model, employee identity or candidate experience. |
| **5** | The proposition is unmistakably employer-specific and would be difficult for a competitor to claim credibly without changing the underlying reality. |

### Candidate Value Clarity

| Score | Public anchor |
|---|---|
| **1** | Candidate benefit is unclear or difficult to infer. |
| **2** | Benefits are present but mostly implied, fragmented or hard to prioritise. |
| **3** | The main reasons to join are understandable, but the proposition is somewhat diffuse or uneven. |
| **4** | Candidate value is clear, coherent and easy to identify across the communication. |
| **5** | The communication gives an immediate, coherent and prioritised answer to “Why should this candidate join this employer?” |

### Evidence

| Score | Public anchor |
|---|---|
| **1** | Employer claims are largely unsupported. |
| **2** | A few isolated examples or proof points appear, but most claims remain unsubstantiated. |
| **3** | Several important claims are supported by concrete practices, examples or employee / product evidence. |
| **4** | Most priority claims are backed by credible, relevant and concrete proof. |
| **5** | Evidence is systematic: key claims are consistently supported by quantified, procedural, product, employee or candidate-experience proof where appropriate. |

### Cross-channel Consistency

| Score | Public anchor |
|---|---|
| **1** | Career page, job ads and recent employer content feel fragmented or contradictory. |
| **2** | Limited overlap exists, but the employer proposition changes noticeably by channel. |
| **3** | Core themes recur across channels, though emphasis and execution are uneven. |
| **4** | The same core proposition is clearly sustained across most candidate-facing layers. |
| **5** | The same strategic meaning is consistently visible across all three layers, while execution appropriately adapts to each format. |

The rubric is designed to make the analytical logic inspectable. It does **not** make the study a population estimate or a psychometrically validated scale.

## Semantic coding rule

A theme was counted only when it appeared as part of the candidate-facing employer proposition or offer. Technical duties, candidate requirements, seniority and product terminology alone did not qualify.

This distinction was necessary to separate **what the person does** from **what the employer promises the person**.

## Logo Swap Test

The test asked:

> If the company name and logo disappeared, would the proposition still be recognisable as belonging to this employer?

Distinctive technical responsibilities were not treated as employer-brand differentiation unless they revealed something specific about the employer experience itself.

## Data, interpretation and recommendations

The public study intentionally separates three layers:

- **Data** — observed frequencies, coded themes and qualitative assessment scores from the sampled communication.
- **Interpretation** — researcher judgement about what those patterns may mean for Employer Brand differentiation.
- **Recommendations** — practical implications derived from the findings; these are not measured facts or claims about individual employers.

Illustrative before/after examples on the landing page are **not quotations from sampled employers**. They demonstrate how a generic promise can be made more specific and ownable by adding employer-specific evidence.

## Public-data policy

Public outputs contain **no employer names and no identifying company URLs**. Public files contain only anonymised or aggregated observations. Identifying source URLs are withheld to preserve anonymisation.

The project is not a ranking of employers.

## Limitations

- The sample is not a population estimate.
- The study measures observable employer communication, not actual employee experience.
- Public content is a point-in-time snapshot.
- Job-ad sampling is intentionally balanced at three vacancies per employer rather than weighted by hiring volume.
- Semantic coding involves analytical judgement.
- The 1–5 scoring framework is a qualitative expert rubric, not a psychometrically validated instrument.
- Sector comparisons are descriptive only because subgroup sizes are small and uneven.
- The international talent lens is interpretive; equivalent datasets were not collected for Poland, Serbia, Georgia, the UK or other EU markets.

## Role of AI

AI supported research organisation, semantic QA, synthesis and drafting. AI was **not** treated as an independent evidence source.

Final methodology, coding rules, ambiguous-case decisions, interpretation and strategic conclusions remained researcher-controlled.

**Working principle:** AI assists the analysis. Human judgement owns the conclusion.

## Personal research note

This is an independent personal research project created out of professional curiosity and genuine interest in the Cyprus tech market. It is not a definitive truth, not a ranking of employers and not a measure of actual employee experience.

It reflects one structured interpretation of publicly observable employer communication at a specific point in time. The work was created with great respect and sincere appreciation for Cyprus-based companies and the people behind them.