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Reward Design & Management · Salary Structures

Build salary ranges that work mathematically, competitively and operationally.

Are our grades and salary ranges coherent — and what happens to employees when we implement or change them?

The business question

Are our grades and salary ranges coherent — and what happens to employees when we implement or change them?

Pay bands are disconnected from role architecture, market context, and governance evidence.

Executive briefing

Salary Structure & Equity - Trust Built Into Every Decision

Connect salary structure, internal equity and human review to build confidence in reward decisions.

Synthetic narration — this briefing uses an AI-generated voice. The script and decision content are authored and governed by Evalio.

Read narration script

Trust is not created by a final message alone. It is built into the way a decision is evidenced, reviewed, accessed, approved, and remembered.

Leaders need to show that work was understood, context was reviewed, and the decision followed a governed path.

Evalio separates evidence, advice, review, and final decision authority. Companion Intelligence raises patterns and questions. Consultants validate the interpretation. Leaders decide with a record that can still be understood later.

Access controls, review posture, limitations, and governance are not afterthoughts. They are part of the decision infrastructure itself.

Trust is created when a decision can still be explained later.

Evidence outlasts memory. Trust should survive time.

Full narration transcript for this briefing.

What changes for the function

Move from an isolated answer to a stronger operating decision.

A usable salary architecture that supports consistent pay decisions, progression and market positioning before its wider equity and cost consequences are considered.

01

The mathematical structure becomes visible and testable.

02

Employees can be positioned consistently using compa-ratio and range penetration.

03

Compression, inversion, out-of-range populations and transition issues can be identified before implementation.

The professional foundation

First, prove the core work is complete.

Before connected intelligence, scenarios or governance add value, the discipline itself must work properly. These are the capabilities and outputs a serious practitioner should expect to see.

What you can actually do in Evalio

  • Create grade and band structures
  • Define minimum, midpoint and maximum values
  • Calculate range spreads and overlaps
  • Set progression between grades
  • Calculate compa-ratio and range penetration
  • Identify employees below, within or above range
  • Detect compression and inversion
  • Apply market reference points
  • Model structure adjustments and transition options
  • Quantify employee and cost impact

What the organisation receives

  • Salary structure table
  • Grade/range architecture
  • Employee positioning analysis
  • Compression and inversion report
  • Out-of-range population report
  • Structure-change scenario and cost view
The professional methodology

See how the discipline works — not just what the software does.

The buyer can see the evidence required, the operating sequence and where professional judgement enters — while protected scoring weights, thresholds and proprietary mechanics remain protected.

  1. 01

    Anchor grades and market reference points

  2. 02

    Define minimum, midpoint, maximum, spread and overlap

  3. 03

    Test progression and employee positioning

  4. 04

    Identify compression, inversion and out-of-range cases

  5. 05

    Model structural changes and transition requirements

What Evalio needs

Evaluated roles, level architecture, market posture, internal equity signals, and budget constraints.

What the organisation receives

A salary structure pack with band logic, risk posture, and review notes.

AI that works inside the discipline

Use AI to reduce effort and improve understanding — not to replace professional judgement.

Evalio separates embedded intelligence from Companion interaction. The AI role is specific to the professional task, bounded by the evidence available, and subject to human review.

Embedded AI layer

  • Flag unusual range relationships and compression patterns
  • Identify employee clusters affected by a proposed structure change
  • Compare alternative range designs
  • Summarise structural exceptions before review

Ask Companion

“Where is compression most material?”

“What happens if we widen this range?”

“Which employees move outside policy under this structure?”

“Which grade relationships should we review before implementation?”

Companion can explain, compare, challenge and simulate. The accountable professional still owns the conclusion and action.

The part most systems miss

The answer does not stop inside this capability.

Once the salary architecture is sound, it becomes a live bridge between evaluated work, market evidence, internal equity, merit and workforce cost.

What strengthens this decision

  • Grades
  • Market Intelligence
  • Pay philosophy
  • Affordability constraints

What this decision can change next

  • Internal Equity
  • Merit
  • Offer Governance
  • Workforce Cost
See it, do not just read about it

Inspect the grade, range, employee-positioning and compression mechanics before seeing the wider equity and cost consequences.

Representative output: Salary Structure Pack. Salary structure decision pack

What remains human-owned

Total Rewards lead and CFO partner owns the consequential review. Evalio can structure evidence, surface questions, compare alternatives and explain implications; it does not silently approve the decision.

Proof boundary

Preview bands are representative and not compensation advice.

See how Salary Structures would improve the operating decision your organisation needs to make.

Start with the business problem, inspect the evidence and connected consequences, then decide whether this capability — alone or with others — is the right fit.