{"id":3207,"date":"2020-04-03T11:47:06","date_gmt":"2020-04-03T06:17:06","guid":{"rendered":"https:\/\/www.appjetty.com\/blog\/?p=3207"},"modified":"2024-12-13T14:30:19","modified_gmt":"2024-12-13T09:00:19","slug":"using-survey-reports-comprehend-survey-results","status":"publish","type":"post","link":"https:\/\/www.appjetty.com\/blog\/using-survey-reports-comprehend-survey-results\/","title":{"rendered":"Using Survey Reports to Comprehend Survey Results Better"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_74 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.appjetty.com\/blog\/using-survey-reports-comprehend-survey-results\/#List_out_the_top_research_questions\" >List out the top research questions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.appjetty.com\/blog\/using-survey-reports-comprehend-survey-results\/#Analyze_quantitative_data_first\" >Analyze quantitative data first<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.appjetty.com\/blog\/using-survey-reports-comprehend-survey-results\/#Leverage_reports_by_cross-tabulating\" >Leverage reports by cross-tabulating\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.appjetty.com\/blog\/using-survey-reports-comprehend-survey-results\/#Understand_the_statistical_significance\" >Understand the statistical significance<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.appjetty.com\/blog\/using-survey-reports-comprehend-survey-results\/#Consider_causation_vs_correlation\" >Consider causation vs correlation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.appjetty.com\/blog\/using-survey-reports-comprehend-survey-results\/#Do_not_forget_to_compare\" >Do not forget to compare<\/a><\/li><\/ul><\/nav><\/div>\n<div style=\"text-align: justify;\">\n<p>Now that you have collected survey responses, it is time to be on your toes, do comprehensive data-analysis, erase junk data, and make sense out of this raw material.<\/p>\n<p>We have created this post, to discuss how you can analyze survey results to obtain key findings, behaviors, and statistics.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"List_out_the_top_research_questions\"><\/span><b>List out the top research questions<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Let\u2019s say you held a conference and trying to gather valuable feedback, then questions like \u201cHow would you rate the conference overall?\u201d should be on top of your list. It would help you find out valuable points like the overall feedback about the conference.<\/p>\n<p>In another example, for a question like, \u201cAre you planning to renew the package next year?\u201d, you can bifurcate the answers in separate categories.<\/p>\n<p>If out of 100 users, around 30 said NO and 70 said YES, then it is clear that 70% of them are planning to continue the use of your product. Further, the opportunity lies in 30%. You can try connecting to them to know what went wrong or maybe offer some discounts.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Analyze_quantitative_data_first\"><\/span><b>Analyze quantitative data first<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>With quantitative data, you can draw conclusions and reliable statistics. This type of data is mostly obtained from close-ended questions that you can easily convert into a numeric value. For example, a question like, \u201cWhat were the key points of the event according to you?\u201d can allow the user to share their personal experience. Once the data is quantified, you can easily convert results into a numeric value to compare them and identify trends in customer behavior.<\/p>\n<p>The reason behind starting with quantitative data is because they help you better understand qualitative data. For example, if 70% of customers are not satisfied with your services, then you need to focus on how you can enhance their experience. For that, you can start by identifying roadblocks in the journey and working on pain points.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Leverage_reports_by_cross-tabulating\"><\/span><b>Leverage reports by cross-tabulating\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>It is important that the data you are analyzing contains the responses from your target audience. For example, if you are analyzing the report where you want to see area wise results, then create segments accordingly. After that, take variables like age, interests, occupations for further analysis. Cross tabulating the data of these variables will help you understand the relationship between these variables based on which you can craft your targeted marketing strategies.<\/p>\n<p>Continuing the above example, in the area wise report, after segmenting responses according to your target areas, you can start analyzing their responses by taking multiple variables into count. This way, you can get precise results by not letting junk data overrun your actual data.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Understand_the_statistical_significance\"><\/span><b>Understand the statistical significance<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>This point talks solely about your target audience. It\u2019s natural that we get excited after receiving a good number of responses which is very rare. But it is possible to miss out on accuracy between large data sets. For example, in your recent survey, 80% of responders are over 35 years old, but your target audience is 18 to 29 years old. In such cases, the data will not be statistically significant.<\/p>\n<p>To avoid this, you can simply leverage survey reports of <a href=\"https:\/\/www.appjetty.com\/sugarcrm-survey-rocket.htm\" target=\"_blank\" rel=\"noopener noreferrer\">SugarCRM Survey Module<\/a>, and segment individuals from a larger population into smaller and niche groups. This will help you simplify your survey responses and you would get more accurate and presentable results.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Consider_causation_vs_correlation\"><\/span><b>Consider causation vs correlation<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>In the end, when you drive conclusions from surveys, they shouldn\u2019t be inaccurate or insufficient. For instance, you observed a correlation between T-shirt sales and Shirt sales. In the next quarter, when you saw a surge in the t-shirt sales on your e-store, you estimated that professional shirt sales will pick up too but they didn\u2019t. In this case, you probably thought that those two sections had a connection but &#8212; no they don\u2019t.<\/p>\n<p>Just because they seem correlated, it doesn\u2019t mean one causes the other. In such cases, there is typically a third variable &#8212; trend &#8212; that influences the two independent variables. So before coming to conclusions, check if any new influencer or celebrity promoted shirts and because of that, they were in trend. If so, then that was the reason for the surge in shirt sales. Hence, analyze what drives a customer to think, act in a certain way rather than making assumptions.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Do_not_forget_to_compare\"><\/span><b>Do not forget to compare<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>When you have current data, ascertain that you are comparing it with previously accumulated data. It can be yearly or quarterly. For example, say 50% of responders said they would recommend your business, which is a great number. But you have to see where were you the previous year to calculate the change.<\/p>\n<p>After analyzing the data for the first time, you can benchmark those results for the next analysis. This way you can track changes monthly, quarterly, yearly or the interval that is preferable for your industry.<\/p>\n<p>Once you have the final insights in place, it is time to convert the data in a presentable format for everyone\u2019s understanding. You can present your data in the form of charts, <a href=\"https:\/\/www.visme.co\/make-infographics\/\" target=\"blank\" rel=\"noopener\">Infographics<\/a>, data tables, etc. Also, it is important that others understand the insights the way you\u2019ve understood them. Because it is very easy to misinterpret data.<\/p>\n<p><em>AppJetty has an all-inclusive and no investment partnership program for our tool, Survey Rocket. Affiliate with us through this program and expand your business. Interested? Learn more about the program from <a href=\"https:\/\/www.appjetty.com\/crm-partner-program\">here<\/a>.<\/em><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Now that you have collected survey responses, it is time to be on your toes, do comprehensive data-analysis, erase junk data, and make sense out of this raw material. We have created this post, to discuss how you can analyze survey results to obtain key findings, behaviors, and statistics. List out the top research questions&hellip; <a class=\"more-link\" href=\"https:\/\/www.appjetty.com\/blog\/using-survey-reports-comprehend-survey-results\/\">Continue reading <span class=\"screen-reader-text\">Using Survey Reports to Comprehend Survey Results Better<\/span><\/a><\/p>\n","protected":false},"author":6,"featured_media":3209,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","_yoast_wpseo_opengraph-title":"","_yoast_wpseo_opengraph-description":"","_yoast_wpseo_opengraph-image":"","_yoast_wpseo_twitter-title":"","_yoast_wpseo_twitter-description":"","_yoast_wpseo_twitter-image":"","inline_featured_image":false,"footnotes":""},"categories":[64],"tags":[],"class_list":["post-3207","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sugarcrm-suitecrm","entry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.3 - 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