{"id":7701,"date":"2017-05-10T16:30:51","date_gmt":"2017-05-10T15:30:51","guid":{"rendered":"http:\/\/intercom.com\/blog\/?p=7701"},"modified":"2020-07-30T12:57:58","modified_gmt":"2020-07-30T11:57:58","slug":"product-research-right-questions","status":"publish","type":"post","link":"https:\/\/www.intercom.com\/blog\/product-research-right-questions\/","title":{"rendered":"The right way to ask the right research questions"},"content":{"rendered":"<p class=\"opening_paragraph\">Feedback from customers is a vital input for product development. But if you want to get the most out of product research, you\u2019ve got to ask the right questions.<\/p>\n<p>A good way to go about this is to start at the end (Google Ventures have some pretty <a href=\"https:\/\/www.youtube.com\/watch?v=VW6wcuEAF0I\">solid advice<\/a> on how you can do that). Think about what you want the outcome of the research to be. Do you want to understand what customers are using your product for? Or are you trying to understand how successfully it meets their needs? When you define the questions you&#8217;re really trying to answer, you can work backwards and craft the right research to get you there.<\/p>\n<p>Here\u2019s a short guide to some questions that you can ask to achieve different research goals.<\/p>\n<h2 id=\"evaluating-the-success-of-a-feature\">Evaluating the success of a feature<\/h2>\n<p>If you\u2019ve shipped a feature and you want to understand whether it\u2019s doing well or not, it\u2019s good to ask the people who are <i>actively<\/i> using it. By doing this, you\u2019ll be able to reveal any underlying issues users might be having, while also getting great feedback on how you can improve and iterate on what you\u2019ve built. Remember to keep it simple and straightforward by asking a sequence of questions like these:<\/p>\n<ol>\n<li>\u201cWhat works well about X?\u201d<\/li>\n<li>\u201cWhat\u2019s confusing, if anything, about it?\u201d<\/li>\n<li>\u201cWhat could we improve?\u201d<\/li>\n<\/ol>\n<p>This will allow the user to think logically about what they like\/dislike about the feature. Another important factor here is that by asking for good and bad points separately, the user won\u2019t feel obligated to only give positive answers as you\u2019ve remained balanced in your questioning.<\/p>\n<h2 id=\"understanding-user-intent\">Understanding user intent<\/h2>\n<p>So your analytics shows you customers are heavily and repeatedly using a particular feature. Great. But do you know what they\u2019re actually using it for? They may not all be using the feature for the same reason. Digging deeper on their goals could shed light on your customers unmet needs.<\/p>\n<p>If you want to understand the intention behind usage, it\u2019s smart to ask them a question about the feature just after they\u2019ve used it. This means the feedback you receive is likely to be much more accurate as you\u2019re not asking the user to recall an experience from a long time ago. Human memories of product interactions can decay fast. Some questions to ask in this scenario would be:<\/p>\n<ul>\n<li>&#8220;When you used X just now, what were you trying to do?&#8221;<\/li>\n<li>&#8220;The last time you used X, can you tell us more about what were you trying to do?&#8221;<\/li>\n<\/ul>\n<h2 id=\"gathering-initial-perceptions-of-a-feature\">Gathering initial perceptions of a feature<\/h2>\n<p>First impressions of new (or improved) features can help uncover whether users understand your product\/feature quickly and easily. It helps identify common misunderstandings that might prevent others from using the feature (e.g. the feature is hidden under a menu item that sounds nothing like the actual feature it links to).<\/p>\n<p>This early-stage feedback can inform any further design decisions that you\u2019ll make as you iterate on the feature. If you want to get valuable feedback on a new product\/feature, it\u2019s good to conduct research right after a release but the timing can be adjusted based on usage. Keep your <a href=\"https:\/\/getthematic.com\/coding-open-ended-questions-2\/\">questions broad and open-ended<\/a> so the user doesn\u2019t feel they need to hone in on a certain area (such as the aesthetics of the design):<\/p>\n<ul>\n<li>\u201cWhat has your impression of [feature X] been so far?\u201d<\/li>\n<li>\u201cYou\u2019ve been using [feature X] for a few days now, what would you improve about it (if anything)?\u201d<\/li>\n<\/ul>\n<h2 id=\"gathering-more-considered-feedback-on-a-new-feature\">Gathering more considered feedback on a new feature<\/h2>\n<p>If you want more <i>considered<\/i> feedback on usage, then it&#8217;s better to wait, or run a second wave of research after the user has had a chance to use this feature and adjust to the changes it may have brought to their workflow. The timing of this adjustment period will depend on how frequently people use your product. If people use your product on a daily basis, you could even consider starting research after a few weeks. But if customers tend to use it heavily once a month e.g. an invoicing app, then problems likely won\u2019t manifest themselves for a few months, which equates to a few usage cycles.<\/p>\n<p><b>Pro tip: <\/b>If you redesign a key feature, it\u2019s likely you will trigger some change aversion amongst your users. \u00a0For a short period of time, users shift towards either loving or hating the change. In the research world we say change aversion typically manifests itself by a sudden shift to a <a href=\"http:\/\/www.statisticshowto.com\/what-is-a-bimodal-distribution\/\">bimodal distribution<\/a> after launch. Usually this is followed over time by a return towards something similar to the <a href=\"http:\/\/www.statisticshowto.com\/normal-distribution-word-problems-index\/\">normal distribution<\/a> of the pre-launch period.<\/p>\n<p>Good questions to ask here:<\/p>\n<ul>\n<li>\u201cWhat has your impression of [feature X] been since [change was introduced]?\u201d<\/li>\n<li>\u201cHow has [feature X] changed the way in which you work (if at all)?\u201d<\/li>\n<\/ul>\n<h2 id=\"investigating-users-mental-model-of-your-product\">Investigating users\u2019 mental model of your product<\/h2>\n<p>To really understand your users, you need to <a href=\"https:\/\/www.intercom.com\/blog\/videos\/understanding-your-users-mental-model\/\" target=\"_blank\" rel=\"noopener noreferrer\">understand the mental model<\/a> they have of your product. This is particularly important when you\u2019re building something totally new that has few parallels with other products in the market or if you\u2019re redesigning core pieces of your product. To gain insight into your users\u2019 comprehension of your product, ask questions that will immerse you in the mindset of your customers:<\/p>\n<ul>\n<li>\u201cExplain in a couple of sentences what you think the product does\u201d<\/li>\n<li>\u201cIf you were to explain [product\/feature X] to a friend, how would you describe it?\u201d<\/li>\n<\/ul>\n<p>Figuring out how users intuitively <i>expect<\/i> your product to work will help you fine-tune it, if necessary, to the mental model of your users (thus making it more intuitive for them to use). If you think there are features that might be unintuitive, you can evaluate this by asking open ended questions like:<\/p>\n<ul>\n<li>\u201cWhat do you think the difference is between [feature X] and [feature Y]?\u201d<\/li>\n<li>\u201cWhat do you think [feature Z] is and what is it useful for?\u201d<\/li>\n<\/ul>\n<p>These types of questions will give you critical insights into the way your users think about how your product works, and will ultimately help you build great software.<\/p>\n<p>Once you\u2019ve gathered your feedback, you shouldn\u2019t stop there. Some next step tips include:<\/p>\n<h2 id=\"dont-be-afraid-to-dig-deeper\">Don\u2019t be afraid to dig deeper<\/h2>\n<p>When sifting through a big chunk of responses to a product research question, pick out any pieces of information that need to be clarified and <a href=\"https:\/\/www.intercom.com\/blog\/customer-follow-up\/\" target=\"_blank\" rel=\"noopener noreferrer\">follow up with the customer<\/a> for further information. Consider other types of user research you could run to learn more and try to iron out any statements that don\u2019t have a clear rationale. If you ask \u201cwhy?\u201d enough, you\u2019ll get to the root cause of why a user loves\/hates\/is indifferent on a design or feature. As Des mentioned before in his<a href=\"https:\/\/www.intercom.com\/blog\/5-mistakes-we-all-make-with-product-feedback\/\" target=\"_blank\" rel=\"noopener noreferrer\"> \u201c5 mistakes we all make with product feedback\u201d <\/a>post:<\/p>\n<p><i>\u201cTreat every clustering of feedback that you see as a hypothesis, and then don\u2019t build it, verify it. Once you verify that the pain is real, the next step is never \u201cbuild the requested solution\u201d, you have to go deeper&#8230;\u201d<\/i><\/p>\n<h2 id=\"actionable-insights-%e2%86%92-awesome-products\">Actionable insights \u2192 awesome products<\/h2>\n<p>As long as you\u2019re asking the right questions, you\u2019re going to get valuable insights that you can act upon. Following these tips will lead to better insights for your company, whether or not you\u2019re using Intercom. Ultimately the answers you get from users can help you see your product in a completely different light and help you build awesome products your customers love using every day.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Feedback from customers is a vital input for product development. But if you want to get the most out of product research, you\u2019ve got to ask the right questions. A good way to go about this&hellip;<\/p>\n","protected":false},"author":136,"featured_media":12604,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"category":[5],"tags":[220,181],"coauthors":[430],"class_list":["post-7701","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product-and-design","tag-feedback","tag-product-research"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>The right way to ask the right research questions - The Intercom Blog<\/title>\n<meta name=\"description\" content=\"For effective product research start at the end. 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