{"id":28564,"date":"2025-05-19T09:29:25","date_gmt":"2025-05-19T13:29:25","guid":{"rendered":"https:\/\/positiveexperience.org\/?p=28564"},"modified":"2025-10-07T11:22:03","modified_gmt":"2025-10-07T15:22:03","slug":"asking-the-right-questions-letting-purpose-lead-the-way-towards-focused-data-collection-and-analysis","status":"publish","type":"post","link":"https:\/\/positiveexperience.org\/blog\/asking-the-right-questions-letting-purpose-lead-the-way-towards-focused-data-collection-and-analysis\/","title":{"rendered":"Asking the right questions \u2014 Letting purpose lead the way towards focused data collection and analysis"},"content":{"rendered":"<div class=\"wpb-content-wrapper\">[vc_row remove_bottom_col_margin=&#8221;true&#8221;][vc_column][vc_column_text css=&#8221;&#8221;]\n<h2>You decided to start using data \u2013 now what?<\/h2>\n<p>Last month, we talked about how <a href=\"https:\/\/positiveexperience.org\/blog\/making-data-doable-and-useful-a-practical-guide-for-organizations-of-any-size\/\">data collection and analysis can be useful<\/a> (and doable) for any organization, no matter the size. We focused on starting small, staying aligned with your purpose, and identifying first steps to begin.<\/p>\n<p>The next step is one that often gets skipped: <em>figuring out what you actually want to know.<\/em><\/p>\n<p>It sounds simple. But in practice, many organizations start collecting data or looking at spreadsheets without a clear question in mind. That can lead to feeling overwhelmed, unsure of what to do next, or worse \u2013 going down rabbit holes chasing interesting data points that don\u2019t help you make decisions or drive change. Sometimes, those data points aren\u2019t even tied to things you can impact.[\/vc_column_text][vc_column_text css=&#8221;&#8221;]\n<h2>What do we mean by \u201casking the right question\u201d?<\/h2>\n<p>The \u201cright\u201d question is one that\u2019s connected to your goals. It helps you understand something you care about\u2014so that what you learn can lead to action.<\/p>\n<p>Often, what organizations care about is improving a program, increasing impact, or making more informed choices about where to focus their time, energy, and resources. For example:<\/p>\n<ul>\n<li>If you&#8217;re thinking about designing a new youth program: Is this program needed by our youth?<\/li>\n<li>If you\u2019re seeing low attendance: When are people dropping off, and why?<\/li>\n<li>If you\u2019re launching something new: What would success look like?<\/li>\n<\/ul>\n<p>These types of questions help you focus on what matters and keep you from getting lost in the data. (It\u2019s easy to do \u2013 there is so much to be curious about!) Clarifying your questions also helps you decide where to focus first. If you\u2019re hoping to act on what you learn \u2013 as most organizations are \u2013 focus on questions that relate to areas you can influence. That\u2019s where your data becomes not just interesting, but actionable.<\/p>\n<p>Remember, there can be more than one round of data collection and analysis. If your team has a lot it would like to know, start by prioritizing what\u2019s most important now and keep a wish list of other questions for later.[\/vc_column_text][vc_column_text css=&#8221;&#8221;]\n<h2><strong>Start with purpose, not numbers<\/strong><\/h2>\n<p>Before you start collecting data, pause and ask:<\/p>\n<ul>\n<li>Is there a decision we need to make? What is it?<\/li>\n<li>What are we hoping to understand to make that decision?<\/li>\n<li>How will this information help us do our work better?<\/li>\n<\/ul>\n<p>If you can\u2019t answer those questions yet, you\u2019re not ready to dive into the data. And that\u2019s okay! It just means spending a little more time getting clear first. Talk about it with your team. Revisit your goals. Sketch out what success would look like. Use sticky notes or a whiteboard to map out what you\u2019re trying to understand and why it matters. Don\u2019t be afraid to take it slow.[\/vc_column_text][vc_column_text css=&#8221;&#8221;]\n<h2><strong>Be selective \u2013 less is more<\/strong><\/h2>\n<p>There\u2019s a lot of data out there, and it\u2019s tempting to try to look at everything. But more data doesn\u2019t always mean more clarity. In fact, it can often make things more confusing. Pick <em>one or two key questions <\/em>to start with. Then identify the few data sources that might help you answer them. It\u2019s okay if it\u2019s not perfect! You don\u2019t need to answer everything right away. You can learn in phases.[\/vc_column_text][vc_column_text css=&#8221;&#8221;]\n<h2>Match your question to your data<\/h2>\n<p>Once you have a clear question, ask: <em>Where might the answer live? <\/em>Internal tracking or reports? Feedback from families or staff? Program participation logs? Publicly available data?<\/p>\n<p>You might discover you don\u2019t yet have the data you need. That\u2019s actually a helpful insight, as it tells you what\u2019s missing and whether you need to start tracking something new.[\/vc_column_text][vc_column_text css=&#8221;&#8221;]\n<h2>Our journey with implementation evaluation<\/h2>\n<p>At the HOPE National Resource Center, we are continuing to make progress in our implementation evaluation work. Thank you so much to everyone who contributed their time, experiences, and expertise to participating in our survey, listening sessions, and one-on-one conversations over the last couple of months. Our collection phase is now complete, and data analysis is underway!<\/p>\n<p>We, too, needed to choose the right questions to center our work.<\/p>\n<ul>\n<li>We wanted to know what implementation of the HOPE framework looks like, including successes and challenges: <em>How are people putting HOPE into practice across different settings?<\/em><\/li>\n<li>We also wanted to know what data organizations are already collecting and what barriers are getting in the way of gathering or using data: <em>How are people evaluating HOPE and the impact it\u2019s having?<\/em><\/li>\n<li>Finally, we wondered how we could better support those putting HOPE principles into practice: <em>How can data and stories about HOPE be used to build support and drive change?<\/em><\/li>\n<\/ul>\n<p>We\u2019re looking at the data now to find answers to these questions and are excited to share some preliminary findings at the <a href=\"https:\/\/positiveexperience.org\/events\/past-hope-summits\/#1750269551083-ca27ac0a-726c\">Fifth Annual HOPE Summit &#8211; Shaping the Future: A Framework for Every Sector<\/a>\u00a0on June 3-4, 2025![\/vc_column_text][vc_column_text css=&#8221;&#8221;]\n<h2><strong>Keep going, keep learning<\/strong><\/h2>\n<p>As you begin exploring your initial questions, new ones will naturally emerge. That\u2019s not a reason to change direction \u2013 it\u2019s a sign that you\u2019re learning. With each round of inquiry, you gain clarity about what\u2019s working, what\u2019s missing, and where you might need to go deeper.<\/p>\n<p>That\u2019s the power of starting with the right questions. They don\u2019t just help with one decision. They create momentum. They spark better conversations, reveal clearer priorities, and guide your next steps.<\/p>\n<p>Stay focused on what matters most. Ask questions that align with your goals. Choose what you can act on. Resist the urge to collect <em>everything<\/em>; clarity comes from focus, not volume. That\u2019s when data becomes more than interesting. It becomes useful, doable, and a true driver of change.[\/vc_column_text][vc_column_text css=&#8221;&#8221;]\n<h2><strong>Up next<\/strong><\/h2>\n<p>What if the data you need isn\u2019t already being collected? In our next blog in the data series, we\u2019ll walk through <a href=\"https:\/\/positiveexperience.org\/blog\/collecting-what-matters-practical-strategies-for-meaningful-data\/\">practical, manageable ways to collect meaningful qualitative and quantitative data<\/a>, even with limited time, staff, or budget.[\/vc_column_text][\/vc_column][\/vc_row]\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Learn the next steps of the data collection process, and how the HOPE National Resource Center is using data to evaluate our work.<\/p>\n","protected":false},"author":25,"featured_media":28566,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[266,81],"post_series":[],"class_list":["post-28564","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-hope-framework","tag-annual-summit","entry","has-media"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Asking the right questions \u2014 Letting purpose lead the way towards focused data collection and analysis | Tufts Hope<\/title>\n<meta name=\"description\" content=\"Learn the next steps of the data collection process, and how the HOPE National Resource Center is using data to evaluate our work.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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