This library is designed to help you get the most out of the MX8 Research Platform. Each prompt is written to be practical and flexible — just copy, paste, and customize as needed. Think of it as your shortcut to faster, smarter questionnaire design.

Evaluate survey flow and respondent experience

Evaluate the overall flow and respondent experience of the survey. Identify any sections that may cause confusion, fatigue, or drop-off, and suggest specific improvements to enhance clarity and engagement.

Ensure logical and intuitive sequencing

Analyze the order of questions to ensure they follow a natural and logical progression. Recommend reorderings where transitions feel abrupt or where context is needed before a question is asked.

Check for question redundancy

Review the questionnaire to identify any questions that are repetitive or duplicative in intent. Suggest opportunities to consolidate or remove overlapping items to streamline the survey without losing valuable data.

Test for appropriate skip logic and branching

Review the survey structure to ensure logic flows correctly based on prior responses. Identify any places where additional skip logic or filters would improve respondent experience or data quality.

Audit for respondent burden

Estimate survey length and cognitive load. Identify ways to reduce burden through question reduction, smarter routing, or response type simplification (e.g., using image-based inputs, sliders, or grids only where necessary).

Optimize questions for mobile-friendliness

Evaluate the survey from a mobile respondent’s perspective. Flag any items that may be difficult to read, navigate, or respond to on a small screen and suggest mobile-optimized alternatives.

Assess clarity and simplicity of wording

Evaluate the language used in each question for complexity or ambiguity. Rewrite any confusing phrasing using plain language that’s easy for respondents across all education levels to understand.

Review for leading or biased language

Analyze the survey for leading or biased language. Flag any questions that may influence responses and suggest revisions to ensure all wording is neutral and balanced.

Evaluate sensitivity and inclusivity of language

Review the survey for potentially sensitive or non-inclusive phrasing. Recommend edits to ensure the language is respectful, inclusive, and culturally appropriate for a diverse audience.

Review open-ended questions for clarity and usefulness

Examine any open-ended questions to ensure they are clear and likely to yield thoughtful, analyzable responses. Suggest rewording or replacing open ends that may confuse or overwhelm respondents.

Flag outdated or irrelevant references

Scan the survey for any time-sensitive language, outdated references, or examples that may no longer resonate with respondents. Suggest updates to keep the questionnaire current and contextually appropriate.

Assess for scale consistency and clarity

Review all scaled questions to ensure anchors (labels) are consistent, balanced, and clearly differentiated. Highlight any inconsistencies or confusing scales and recommend improvements.

Check response option quality and exhaustiveness

Examine the response options for each question to ensure they are mutually exclusive, collectively exhaustive, and easy for a respondent to accurately answer. Suggest revisions where needed.

Identify opportunities for scale standardization

Where appropriate, suggest the consolidation of scale types (e.g., using consistent 5-point or 7-point Likert scales) to simplify analysis and reduce respondent confusion.

Review randomization and rotation logic

Ensure that any randomized question orders or option rotations are applied correctly and consistently. Identify areas where randomization could help reduce order bias and improve data quality.

Check consistency in formatting and terminology

Review for consistent use of terminology, capitalization, punctuation, and numbering throughout the survey. Suggest edits to maintain a polished, professional, and user-friendly presentation.

Check alignment with business/research objectives

Evaluate whether each question meaningfully contributes to the overall goals of the study. Flag questions that seem irrelevant or misaligned, and suggest alternatives that would provide more actionable insights.

Identify content gaps and missed opportunities

Identify any gaps in content that could limit the depth or usefulness of the analysis. Suggest additional questions or topics that would help ensure comprehensive coverage of the research objectives.

Suggest metadata capture improvements

Recommend background questions (e.g., demographic, behavioral, or attitudinal) that should be included to enrich segmentation and analysis, especially if missing or underdeveloped in the current version.

Validate screening and quota logic

Assess the screener questions to ensure they are effectively targeting the right audience. Suggest changes that would improve targeting without excluding valuable subgroups or over-filtering.