EXTRACLARITY™ · FRAME

Before solving the
engineering problem, make
sure everyone agrees what
the problem actually is.

Extraclarity™ is ETA's project-framing decision tool for defining the decision, objectives, constraints,
interfaces, success criteria and engineering scope before significant study or project effort begins.

Discuss Project Framing → Compare All Decision Tools

Use Extraclarity™ when...

The project exists, but the question it must
answer is still fuzzy.

Scope

Teams disagree on what engineering
should be included.

Stakeholders

Different functions have different
definitions of success.

Decision

The final management decision has not
been clearly stated.

The Problem It Solves

Poorly framed
engineering creates
expensive ambiguity
downstream.

A technically excellent study can still disappoint if stakeholders were expecting
different answers, critical interfaces were excluded or success criteria were
never defined.

Extraclarity™ creates alignment before analysis starts.

Extraclarity™ helps establish:

  • The decision that must ultimately be made
  • The business and engineering objectives
  • Known constraints and uncertainties
  • Stakeholder requirements
  • Technical interfaces
  • Required data and assumptions
  • Success criteria
  • Appropriate study scope and deliverables
Recommended Extraclarity™ Structure

From vague requirement to
decision-ready study definition

01
Define the
Decision
State exactly what the organisation must decide at the end.
02
Align
Objectives
Establish production, reliability, project and commercial goals.
03
Map
Constraints
Identify data, technical, schedule, operational and commercial limits.
04
Define
Success
Agree how feasible options and final recommendations will be judged.
05
Build the
Scope
Convert the problem into a focused engineering scope and deliverables.
Where It Adds Value

Especially useful before complex
or poorly defined compression
studies

IAM
Integrated Modelling Studies
Clarify what the integrated model needs to answer before investing effort in model construction.
MOD
Debottlenecking Studies
Define the production objective, boundaries and basis for evaluating modifications.
REL
Reliability Investigations
Establish symptoms, business impact, available evidence and what the diagnostic work must resolve.
FEED
Pre-FEED / FEED Definition
Ensure study outputs align with the decisions required for the next project stage.
RFQ
Consultant RFQs
Produce a clearer scope before requesting proposals from engineering consultants or vendors.
FID
Decision Support
Clarify exactly what evidence management needs before committing investment.
Typical Outputs

Clarity before commitment

Decision statement
The specific question the engineering must answer.
Objectives hierarchy
Technical, production and commercial objectives aligned.
Constraint register
Known limitations, assumptions and uncertainties.
Success criteria
How competing options will be evaluated.
Data requirements
Information required before engineering begins.
Study scope
A focused, auditable engineering scope and deliverables.
How Extraclarity™ Fits

Extraclarity™ is often
the precursor—not
the whole
engagement.

Once the problem is framed, the work may proceed through
CONCEPTCOMPRESSOR™, modgas™, CompressorDoc™ or verify™
depending on the decision that remains.

FRAME → then choose the right tool

Is the project moving before
everyone agrees what needs to be
decided?

A short framing exercise can prevent weeks of engineering effort being spent answering the wrong
question.

Discuss Project Framing →