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Service 03 · quantitative

Usage & Attitudes

What the physician prescribes, for which patient and why. We measure declared habit in enough detail to separate what the guideline says from what happens in the consulting room, and to know which argument moves a decision.

Duration
6–10 wks
Sample
n ≥ 150
Mode
Verified panel
Deliverable
Report + data

When to use it

When you need to know which argument to move, not just how much you sell

Sales tell you the result; U&A tells you the cause. This is the study contracted before redesigning a message, redefining a target segment or defending a repositioning against the competition.

  • Which criterion decides first-line treatment for each patient profile?

  • What would make a physician switch away from my brand, and at what price?

  • How are my efficacy and safety perceived against the competitive set?

  • Which segments share habit and can be worked with the same message?

Methodology

Quantitative design with declared bias control

  1. Stage 01

    Design

    Segment definition, quotas by specialty and institution, and sample calculation with a target margin of error declared from the proposal onward.

  2. Stage 02

    Instrument

    Structured questionnaire with validated scales, brand rotation and consistency items to detect automatic responding.

  3. Stage 03

    Field

    Collection on a licence-verified physician panel, with duration control, refusal-rate tracking and audit of 100% of cases.

  4. Stage 04

    Analysis

    Statistical segmentation, choice drivers by relative importance and perception maps against the competitive set.

Every table in the report carries its effective base and its margin of error. Cross-tabs with fewer than 30 cases are flagged as indicative and not used for conclusions.

Deliverables

What you receive

  • Results report

    Document with findings, segment-level reading and an explicit recommendation for marketing, not just a description of tables.

  • Perception map

    Position of your brand and the competitive set on the attributes that actually predict prescription.

  • Driver model

    Hierarchy of the factors that move choice, with relative weight and communication viability.

  • Data and questionnaire

    Anonymised microdata, codebook and final questionnaire for replication or additional cross-tabs.

Frequently asked

What clients usually ask

What margin of error does a sample of 150 carry?
Around ±8% margin of error at 95% confidence at total level. To read segments precisely the sample increases; we size it in the proposal according to the cut you need.
Can I include competitors in the questionnaire?
Yes, and it is standard. Brands are rotated to avoid order bias and questions are asked without revealing who sponsors the study.
Can it be repeated for comparison?
Yes. If the intent is to measure evolution, it is better designed from the start as a Brand Tracker with a fixed panel.
Does it apply to pharmacists or patients?
Yes, the same design adapts to other audiences. Quotas and instrument change; the quality-control logic is identical.

Request a proposal

Tell us the indication, the physician audience and the date you need the result. We respond with design, sample, timing and price.