Remote | Market Research & Survey Methodology Consultant — Up to $110/hour

24-Mag • New York, NY

3d • Remote

About The Position

We are sharing a specialised part-time consulting opportunity for experienced survey research, market research, consumer insights, behavioural science, and quantitative research professionals with strong hands-on experience designing, fielding, managing, or evaluating surveys. This role focuses on reviewing sophisticated survey-based research for methodological quality, clarity, bias, respondent experience, and decision usefulness. Selected professionals will apply practical research judgement to questionnaire design, sampling, fieldwork, survey logic, and data-quality challenges.

Requirements

• 3+ years of professional experience in survey research, market research, consumer insights, behavioural science, UX research, or a closely related field
• Meaningful hands-on experience designing and/or fielding surveys professionally
• Strong understanding of questionnaire design and common sources of survey error and bias
• Relevant professional backgrounds may include: Market research, Consumer or customer insights, Survey methodology, Quantitative research, Behavioural science, UX or customer research, Polling and public-opinion research, Social or policy research
• Strong ability to critically evaluate survey methodology and explain why specific design choices are strong or weak
• Excellent written communication and analytical judgement
• High attention to detail and comfort working with incomplete or ambiguous information

Nice To Haves

• Experience with respondent panels, sampling strategies, screeners, quotas, or survey fieldwork is highly valuable
• Experience with platforms such as Qualtrics, SurveyMonkey, Alchemer, Decipher/Forsta, QuestionPro, or similar research tools is helpful but not required

Responsibilities

• Review surveys for methodological quality, clarity, and fitness for purpose
• Assess whether survey questions effectively address intended research objectives
• Identify leading language, ambiguity, double-barrelled questions, and problematic response options
• Evaluate questionnaire structure, ordering, and respondent burden
• Recommend practical improvements to strengthen survey quality
• Review screeners and eligibility criteria
• Evaluate survey flow, skip logic, display logic, and branching
• Assess response scales and questionnaire sequencing
• Identify inconsistencies or structural issues that may affect respondent behaviour
• Evaluate whether survey design supports reliable and interpretable results
• Identify potential sources of sampling, measurement, response, and selection bias
• Assess wording and design choices that may influence participant responses
• Evaluate ordering effects and contextual influences
• Review survey methodology for potential threats to validity
• Apply professional judgement where methodological trade-offs do not have a single definitive solution
• Review respondent recruitment and fielding approaches
• Evaluate sampling strategies, quotas, and sample composition
• Assess the suitability of respondent panels for intended research populations
• Review screening and qualification methodologies
• Evaluate data-quality controls used during survey fieldwork
• Apply professional experience from market research, consumer insights, or related research environments
• Assess whether surveys generate useful information for business, policy, product, or research decisions
• Evaluate research questions from the perspective of intended stakeholders
• Review quantitative research approaches and practical implementation choices
• Ensure recommendations remain grounded in real-world research practice
• Apply relevant experience from behavioural science, UX research, customer research, polling, or social research
• Evaluate surveys used to understand attitudes, behaviours, preferences, or experiences
• Assess whether questionnaire design appropriately reflects intended respondent populations
• Review methodological choices across different research contexts
• Contribute mixed-methods or experimental research judgement where relevant
• Critically evaluate methodological decisions rather than simply execute predefined questionnaires
• Assess whether surveys are likely to produce reliable, interpretable, and decision-useful data
• Identify weaknesses in research reasoning or survey construction
• Provide structured explanations of methodological concerns
• Recommend specific and actionable improvements
• Review AI-generated survey content and research reasoning against professional research standards
• Identify methodological weaknesses in generated questionnaires
• Assess whether proposed survey approaches reflect established research practice
• Evaluate ambiguity, bias, respondent burden, and measurement quality
• Provide clear rationales for recommended corrections or improvements

Benefits

• Flexible scheduling based on project requirements
• Compensation: Up to $110/hour

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level
• Education Level: No Education Listed