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AIRA · Service line 02 · Insight Generation

Insight Generation. From opinion to decision-grade evidence.

Structured, validated surveys and insight programmes across patients, consumers and healthcare professionals, the intelligence layer of AIRA, designed by researchers and fielded on ECS®.

People & Research First®
What we read

Four lenses on real-world behaviour.

Every insight programme reads its population through one or more of these lenses, so the output answers a decision, not just a question.

  • Evidence-based care
    Clinical, behavioural and patient-reported data unified into validated, longitudinal outcomes, the substrate for decisions clinicians and payers can defend.
  • Health Trends & Population Insights
    Reading how populations live, age and respond to care, signals that shape research design, access strategies and public-health decisions.
  • Healthcare Professional Practice
    How clinicians reason, prescribe and adopt innovation, mapped at scale and structured into evidence for guidelines, launch and adoption.
  • Consumer & Product Perception
    How people perceive, choose and live with a product, captured before and after launch to guide claims, positioning and iteration.
Special focus

Health Scientific Survey.

How AIRA collects structured insight from every stakeholder, patients, caregivers, consumers, clinicians, pharmacists and payers, and turns it into defensible evidence. Designed and validated as scientific instruments.

  • Every stakeholder, one instrument
    Patients, caregivers, consumers, HCPs and payers answered on the same validated, cross-culturally adapted framework.
  • Insight → evidence
    PROMs, ClinROs and purpose-written scales turn stakeholder input into psychometrically sound, analysable data.
  • Fielded on ECS®
    Multi-country fielding with audit trail, so results are defensible for regulators, payers and publications.
Why it exists

Most surveys describe. This one has to stand up to scrutiny.

When a survey has to support a claim, a guideline, an access conversation or a peer-reviewed paper, the instrument itself becomes part of the evidence. That is a different discipline from market research, and it is not simply a module you switch on.

A practice, not a product

Methodologists design the study; ECS® provides the operating layer that runs it.

Scientific, not promotional

Hypothesis, analysis plan and limitations declared up front, exactly as in a clinical protocol.

Defensible by construction

Consent, audit trail and versioned instruments mean the dataset survives review.

Who answers

Every stakeholder, one instrument.

The same validated framework reaches every voice around a therapy or a product, so answers can be compared instead of merely collected.

  • Patients

    Symptom burden, quality of life, adherence and lived experience, captured in their own words and on their own devices.

  • Caregivers

    The hidden workload around a condition, measured with instruments designed for proxy reporting.

  • Consumers

    Behaviours, expectations and perceived benefit across the healthy → sub-healthy → diseased continuum.

  • Clinicians

    How professionals decide, prescribe and adopt, with clinician-reported outcome measures (ClinROs) where relevant.

  • Pharmacists

    The point where advice, dispensing and real-world use meet, the closest observation post to daily behaviour.

  • Payers & HTA

    Value perception, unmet need and budget-impact context, framed for dossier and access conversations.

Method

From opinion to measurement.

Six steps separate a questionnaire from a scientific instrument. We run all six, every time.

  1. 01
    Instrument design

    Questionnaires engineered as scientific instruments: construct definition, item generation, response scaling, pilot testing.

  2. 02
    Validated scales

    Native support for patient-reported outcome measures (PROMs), ClinROs and disease-specific validated scales.

  3. 03
    Psychometrics

    Reliability, internal consistency and construct validity assessed before a single conclusion is drawn.

  4. 04
    Cross-cultural adaptation

    Forward and back translation plus cognitive debriefing, so a question means the same thing in every country.

  5. 05
    Sampling & representativeness

    Defined sampling frames, quotas and screening logic, so the sample supports the claim you intend to make.

  6. 06
    Analysis plan first

    A statistical analysis plan agreed before fielding: no post-hoc storytelling, no moving endpoints.

Technology

Fielded on ECS®.

Health Scientific Survey is a methodological practice, not an ECS® module. When a survey needs multi-country fielding, consent, audit trail and analysis-ready export, it runs in our ecosystem.

Design a survey that stands up to scrutiny.

Tell us the claim you need to support. We shape the instrument, the sample and the analysis plan.