Free Reaction Survey

This question captures the first emotional impact, helping to identify whether the initial reaction is positive, negative, or neutral. Early feelings often predict overall satisfaction and future engagement.

Providing descriptive options helps quantify complex emotions. This insight guides tone and language for marketing and support.

Measuring excitement reveals how engaging the experience was. High excitement often correlates with stronger word-of-mouth and user advocacy.

Identifying confusion or frustration points out potential usability issues. Addressing these can reduce support costs and improve retention.

Extremes of satisfaction indicate areas of delight or failure. Tracking this emotion over time helps assess improvements.

Surprise can be positive or negative; understanding context is key. This data uncovers unexpected pain points or delights.

Disappointment marks gaps between expectation and reality. Recognizing this helps prioritize feature enhancements.

This comparison shows whether you're over- or under-delivering. Aligning performance with expectations builds trust.

Highlighting the primary emotion simplifies analysis and communication of key findings. It also directs strategic focus to the most impactful feelings.

Timing of emotional shifts indicates how lasting the first impression is. Quick changes may suggest design or content friction you can address.

First impressions of design often influence overall opinion and usability perceptions. Positive design feedback can reinforce brand value.

Ease of use is critical for adoption; measuring intuitiveness highlights UX strengths or weaknesses. It also suggests where to streamline workflows.

Understanding key value drivers guides roadmap prioritization. Focus on these features for marketing and development efforts.

Identifying confusing elements helps reduce user errors and support tickets. Clearer labeling or onboarding might resolve these issues.

Performance ratings reveal technical satisfaction and potential stability issues. High performance scores can differentiate you from competitors.

Pinpointing over-deliveries highlights strengths you can showcase. These "wow" moments often drive positive referrals.

User-suggested enhancements inform your development backlog. Prioritizing popular requests maximizes impact on satisfaction.

Fit-for-purpose measurement indicates overall utility. High alignment with needs reduces churn and increases renewals.

Technical problems directly impact user experience and brand perception. Tracking issues helps allocate QA resources effectively.

This is a classic Net Promoter Score style question that predicts advocacy. High recommendation rates often translate to organic growth.

Measuring relevance ensures your content strategy aligns with audience needs. High relevance improves time on page and reduces bounce.

Identifying engaging sections helps replicate successful elements. It also signals where to add deeper or related material.

Format effectiveness guides multimedia strategies. Users often process information differently, so mix formats wisely.

Clarity of message drives user understanding and action. Vague or complex messaging can hinder lead generation.

Spotting confusing segments helps tighten copy and structure. Removing ambiguity boosts reader satisfaction.

Share likelihood indicates how viral your content might go. Encouraging shares can amplify reach cost-effectively.

Motivation metrics reveal depth of engagement and potential funnel progression. Strong motivation may lead to sign-ups or purchases.

Quality ratings reflect editorial standards and brand reputation. High quality often drives repeat visits.

Key phrase recall demonstrates message retention. Use this to optimize SEO and on-page headlines.

User suggestions guide iterative content refinements. Prioritize common requests to maximize ROI on editing efforts.

Opinion formation time indicates information clarity and presentation effectiveness. Faster understanding often leads to better user satisfaction.

Decision timing reveals which features or messages are most persuasive. Optimize those elements to drive quicker adoption.

Task completion speed measures efficiency of workflows. Slower times may indicate friction points needing redesign.

Identifying hesitation points uncovers confusion or lack of guidance. Streamlining those areas can improve overall flow.

Exploration time shows curiosity and perceived value of secondary functions. High exploration may signal opportunities for upselling.

Recovery time highlights error tolerance and resilience of your interface. Faster recovery leads to lower frustration.

The acceptability of wait times impacts user patience and brand perception. Excessive waits can lead to abandonment.

Return frequency signals engagement momentum and habit formation. Early returns can predict long-term usage.

Pinpointing maximum delays helps prioritize backend or network optimizations. Reducing peak delays often improves overall satisfaction.

Combining timing with sentiment reveals how delays influence perception. This helps balance performance improvements with feature additions.

Benchmarking against alternatives reveals competitive advantages and gaps. Insights guide feature differentiation strategies.

Comparisons to past versions track progress and user loyalty. Improvement trends can validate development efforts.

Identifying standout features helps with marketing and product messaging. Highlight these strengths in campaigns.

Spotting shortcomings directs targeted enhancements. Addressing major gaps can shift purchase decisions in your favor.

Price perception affects value assessment. Understanding this helps refine pricing or positioning strategies.

Willingness to pay over free options indicates strong perceived value. High scores justify premium pricing.

Support comparisons highlight service quality. Positive support impressions can offset product weaknesses.

Unique advantages often become key differentiators. Promoting them can sharpen your competitive edge.

Understanding accepted compromises reveals non-negotiable and flexible aspects of your offering. Use this to balance feature prioritization.

Loyalty likelihood measured against alternatives predicts churn risk. High comparative loyalty supports retention planning.