Survey forms play a crucial role for market researchers to collect essential data. Recent stats show that 72% of companies believe surveys offer key insights for decision-making (Statista, 2023). Moreover, 85% of market researchers use online surveys to gather consumer opinions (SurveyMonkey, 2023). These forms help identify trends, understand customer needs, and measure satisfaction. 

Survey data from target audience and customers guide businesses to build strategies, improve products, and enhance customer experiences. Market researchers rely on surveys to stay competitive, adapt to market changes, and make informed decisions. 

Here are the most common challenges faced by market researchers while using online survey forms. 

 1. Low Response Rates

Drag-and-drop survey forms often include generic questions that result in poor engagement. AI-powered survey forms tackle this with personalized, relevant questions, optimizing survey flow, and enhancing user experience, leading to higher engagement and improved response rates.

Possible Setback: Low participation  result in insufficient data, making it difficult to draw meaningful conclusions for market researchers.

Solution: Offer incentives, keep the survey short, and clearly communicate the importance of the respondent's feedback. 

 2. Response Bias

Market researchers might encounter response bias with drag-and-drop survey forms due to poorly crafted, leading questions. AI-powered survey forms apply advanced algorithms to create unbiased, neutral questions, and dynamically generates conditional questions based on real-time feedback which ensures more accurate and reliable responses.

Possible Setback: Respondents may provide socially desirable answers or may not answer truthfully, leading to skewed data.

Solution: Ensure anonymity, carefully word questions to avoid leading or biased phrasing, and use a mix of question types.

 3. Survey Fatigue

It’s highly probable for repetitive and irrelevant questions in drag-and-drop survey forms which results in survey fatigue. AI-powered survey questions are contextual and engaging while the survey length is optimized to ensure each question is relevant to the respondent. This approach reduces fatigue and improves completion rates.

Possible Setback: Long or complex surveys lead to respondent fatigue resulting in incomplete responses or rushed answers.olution: Keep the survey concise, prioritize essential questions, and use engaging formats.

 4. Ambiguous or Misleading Questions

Manual errors or biases in wording are common in drag-and-drop survey forms. As a result, the survey questions might be misleading to the respondents. AI-powered survey forms apply advanced algorithms to generate clear, unbiased questions while continuously refining them based on respondent feedback. It ensures more accurate and reliable data collection.

Possible Setback: Poorly worded questions confuse respondents, leading to inaccurate answers.

Solution: Pilot test the survey, use clear and simple language, and avoid jargon or complex terms.

 5. Technical Issues

Online survey forms have a higher probability of technical errors. ​​For example, drag-and-drop survey forms with manual survey design might have setbacks in cross-platform compatibility. But, AI-powered survey forms maximize optimal performance, seamless integration, and compatibility across devices. It provides a better user experience. 

Possible Setback: Online surveys may face technical glitches, such as broken links or incompatible devices, deterring respondents.

Solution: Test the survey on multiple devices and browsers, and provide technical support options.

 6. Data Privacy Concerns

Online survey forms are notoriously difficult to adhere to data privacy standards. It’s a given that more often online survey analyses face data privacy threat. AI-powered survey forms implement advanced data encryption, automatic data compliance in line with data protection regulations like GDPR to ensure secure data handling practices, enhanced privacy and protection of respondent information.

Possible Setback: Respondents may be hesitant to provide honest answers due to concerns about privacy and data security.

Solution: Clearly explain data protection measures, ensure compliance with data privacy regulations, and guarantee confidentiality.

 7. Survey Data Validation Issues 

Online survey forms might have inconsistent or inappropriate validation criteria in different answer fields that lead to data quality issues. AI survey forms have consistent and context-aware data validation measures across all fields, adapting to the type of data expected which enhances data quality and reliability.

Possible Setback: Respondents might provide inconsistent answers due to misunderstanding questions or lack of attention.

Solution: Use validation checks, provide clear instructions, and ensure logical flow between questions.

 8. Survey Design Issues

Manual setup might have uneven spacing, misaligned elements, and overall poor visual design. AI-powered survey forms automatically create visually consistent elements, user-friendly layouts and conversational questions for a cohesive and visually engaging survey.

Possible Setback: Poor survey design results in low-quality data, such as unclear question structure or inappropriate question types.

Solution: Follow best practices in survey design, seek expert advice, and continuously improve based on feedback.

 9. Lack of Real-time Feedback 

Users often don't get immediate feedback on incorrect entries, resulting in incomplete or erroneous submissions. AI survey forms provide real-time feedback and suggestions, guiding users to correct errors instantly, improving the accuracy and completeness of data collected.

Possible Setback: Frequent surveys lead to respondent burnout and declining participation over time.

Solution: Space out survey requests, prioritize key surveys, and respect respondents’ time.

 10. Survey Analysis and Interpretation Errors

Online survey forms may lead to survey analysis errors due to manual data processing and human bias. AI-powered survey forms leverage data analysis automation, employing machine learning algorithms to identify patterns and trends accurately. It reduces human error to deliver more reliable and insightful survey analysis.

Possible Setback: Incorrect analysis or misinterpretation of survey data lead to wrong conclusions.

Solution: Use appropriate statistical methods, double-check data, and consider consulting with experienced data analysts.

In conclusion, online survey forms face numerous challenges, from design inconsistencies to data privacy concerns. But, AI-powered survey forms transform survey experience for both market researchers and survey respondents. The survey process is entirely automated from end-to-end which ensures data accuracy, and enhances user experience. 

AI survey form builders like Metaforms address the limitations of traditional forms. From optimizing survey design to providing real-time feedback, the tool empowers researchers to overcome hurdles and extract meaningful insights efficiently. Leveraging AI in survey form creation not only streamlines data collection but also improves the quality and reliability of survey insights, ultimately revolutionizing the way businesses gather and utilize valuable customer feedback. Sign-up for Metaforms today!