{"id":20697,"date":"2025-03-05T10:30:17","date_gmt":"2025-03-05T05:00:17","guid":{"rendered":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/?post_type=article&#038;p=20697"},"modified":"2025-11-13T16:41:08","modified_gmt":"2025-11-13T11:11:08","slug":"viewing-sentiment-analysis-in-nimble","status":"publish","type":"article","link":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/article\/viewing-sentiment-analysis-in-nimble\/","title":{"rendered":"Viewing Sentiment Analysis in Nimble"},"content":{"rendered":"<table style=\"line-height: 10px; height: 77px; width: 99.2704%; border-collapse: collapse; background-color: #f7f7f7;\">\n<tbody>\n<tr style=\"height: 108px;\">\n<td style=\"width: 100%; height: 77px;\">\n<p style=\"text-align: left;\"><strong>Skip Ahead to:<\/strong><\/p>\n<p style=\"line-height: 10px; text-align: left;\"><a href=\"#Overview\">Overview<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"#Navigation\">Navigation<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"#KeyFeatures\">Key Features<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"#AccessingSentimentAnalysis\">Accessing Sentiment Analysis\u00a0<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"#AccessSentimentAnalysis\">Who Can Access Sentiment Analysis?\u00a0<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"#ImportantNotes\">Important Notes<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"#UnderstandingSentimentAnalysisWidgets\">Understanding the Sentiment Analysis Widgets<\/a><\/p>\n<ul>\n<li style=\"text-align: left;\"><a href=\"#WeeklySentiment\">Weekly Sentiment<\/a><\/li>\n<li style=\"text-align: left;\"><a href=\"#TeamMemberSentiment\">Team Member Sentiment<\/a><\/li>\n<li style=\"text-align: left;\"><a href=\"#SentimentTrendOverview\">Sentiment Trend Overview<\/a><\/li>\n<li style=\"text-align: left;\"><a href=\"#SentimentAnalysisReport\">Sentiment Analysis Report<\/a><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 data-pm-slice=\"1 1 []\"><a id=\"Overview\"><\/a>Overview<\/h2>\n<p>The <strong>Sentiment Analysis<\/strong> feature in Nimble provides powerful AI-driven insights into team morale by analyzing comments, kudos, and feedback from team members. By detecting whether sentiments are positive, neutral, or negative, helps leaders understand how team members feel towards their work, improve team morale, and foster a more <span style=\"text-decoration: underline;\"><strong>humanized<\/strong><\/span> workplace where employees feel valued, heard, and engaged.<\/p>\n<p><a href=\"https:\/\/digitecdn.s3.us-east-1.amazonaws.com\/images\/Sentiment_Analysis_8.3.gif\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/digitecdn.s3.us-east-1.amazonaws.com\/images\/Sentiment_Analysis_8.3.gif\" alt=\"\" width=\"679\" height=\"518\" \/><\/a><\/p>\n<p><strong>Note<\/strong>: Please contact the <strong>Nimble Support Team<\/strong> for details on its implementation and availability for your organization.<\/p>\n<p>Why use Sentiment Analysis?<\/p>\n<ul>\n<li>Stay connected to team morale without waiting for formal feedback sessions.<\/li>\n<li>Identify challenges early, such as frustration or disengagement, to intervene timely.<\/li>\n<li>Celebrate positivity and foster an encouraging work environment.<\/li>\n<li>Make informed decisions backed by real-time team sentiment data.<\/li>\n<\/ul>\n<p><strong><a id=\"Navigation\"><\/a>Example for better understanding<\/strong>: A Product Manager can review team sentiment after a product release to gauge team satisfaction with the outcome and process.<\/p>\n<h2>Navigation<\/h2>\n<p>To access Sentiment Analysis for your project: Go to the <strong>Dashboard<\/strong> module of your project and select <strong>Sentiment Analysis<\/strong> from the list.<\/p>\n<p><strong><a id=\"KeyFeatures\"><\/a>Note<\/strong>: Sentiment Analysis insights are generated automatically using AI based on team comments and interactions within the last week.<\/p>\n<h2>Key Features<\/h2>\n<ul>\n<li><strong>AI-Powered Sentiment Tracking<\/strong>: Automatically analyzes comments to detect and categorize sentiments.<\/li>\n<li><strong>Insightful Visualization<\/strong>: Graphical widgets make it easy to grasp overall and detailed sentiment data.<\/li>\n<li><strong>Trend Monitoring<\/strong>: Weekly trends help track shifts in morale over time and correlate them with project events.<\/li>\n<li><strong>Privacy-Focused<\/strong>: Individual identities remain anonymous, ensuring a safe space for honest feedback.<\/li>\n<li><strong><a id=\"AccessSentimentAnalysis\"><\/a>Actionable Insights<\/strong>: Highlights specific concerns, areas for improvement, and positive feedback to guide managers in taking meaningful actions.<\/li>\n<\/ul>\n<h2>Who Should Use Sentiment Analysis?<\/h2>\n<p>Access to Sentiment Analysis is recommended for managerial roles responsible for team well-being and productivity:<\/p>\n<ul>\n<li>Product Managers<\/li>\n<li>Project Managers<\/li>\n<li>Product Owners<\/li>\n<li>Resource Managers<\/li>\n<li>Scrum Masters<\/li>\n<\/ul>\n<p><strong><a id=\"ImportantNotes\"><\/a>Tip<\/strong>: By regularly reviewing sentiment insights, leaders can create a more humanized workplace where employees feel valued, heard, and motivated.<\/p>\n<h2>Important Notes<\/h2>\n<ul>\n<li><strong>Privacy Assured<\/strong>: Individual team members&#8217; names are anonymized (e.g., &#8220;Person 1&#8221;) to maintain confidentiality.<\/li>\n<li><strong>Data Scope<\/strong>: Analysis is based on comments and interactions from the previous week, ensuring up-to-date sentiment tracking.<\/li>\n<li><strong>AI Evaluation<\/strong>: Sentiments, emotions, and contributions are assessed automatically by AI, reducing manual effort and bias.<\/li>\n<li><strong><a id=\"UnderstandingSentimentAnalysisWidgets\"><\/a>Points System<\/strong>: AI assigns points based on sentiment\u2014positive (3 points), neutral (1 point), and negative (0 points)\u2014which can help track constructive participation over time.<\/li>\n<\/ul>\n<h2>Understanding the Sentiment Analysis Widgets<\/h2>\n<p><a id=\"WeeklySentiment\"><\/a>The Sentiment Analysis page comprises four key widgets that comprehensively view team sentiment. Let&#8217;s understand each of these widgets in detail.<\/p>\n<h3>1. Weekly Sentiment (Dial Chart)<\/h3>\n<p><a href=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-20763 size-full\" src=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_2.png\" alt=\"Weekly sentiment\" width=\"1584\" height=\"1256\" srcset=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_2.png 1584w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_2-300x238.png 300w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_2-1024x812.png 1024w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_2-768x609.png 768w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_2-1536x1218.png 1536w\" sizes=\"(max-width: 1584px) 100vw, 1584px\" \/><\/a><\/p>\n<ul>\n<li>What it shows:<br \/>\nThe overall percentage distribution of positive, neutral, and negative sentiments for the past week.<\/li>\n<li>Why it&#8217;s useful:<br \/>\n<a id=\"TeamMemberSentiment\"><\/a>A quick snapshot of team mood. If sentiment is largely neutral or negative, it may indicate issues needing attention.<\/li>\n<li>AI-generated Summary:<br \/>\nA textual summary highlights the underlying team dynamics, such as motivation, concerns, or areas needing improvement.<\/li>\n<\/ul>\n<h3>2. Team Member Sentiment (Donut Chart)<\/h3>\n<p><a href=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_4.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-20761 size-full\" src=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_4.png\" alt=\"Team member sentiment\" width=\"1158\" height=\"932\" srcset=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_4.png 1158w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_4-300x241.png 300w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_4-1024x824.png 1024w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_4-768x618.png 768w\" sizes=\"(max-width: 1158px) 100vw, 1158px\" \/><\/a><\/p>\n<ul>\n<li>What it shows:<br \/>\nA categorical breakdown of how many team members expressed positive, neutral, or negative sentiments of the past week.<\/li>\n<li><a id=\"SentimentTrendOverview\"><\/a>Why it&#8217;s useful:<br \/>\nHelps understand diversity in team feelings. A few negative sentiments in an otherwise positive environment may highlight specific concerns that need addressing. Example: <em>If 50% are positive, 30% negative, and 20% neutral, it indicates mixed feelings, signaling a need for a follow-up conversation.<\/em><\/li>\n<\/ul>\n<h3>3. Sentiment Trend Overview (Line Chart)<\/h3>\n<p><a href=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_3.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-20762 size-full\" src=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_3.png\" alt=\"Trend Overview\" width=\"1494\" height=\"932\" srcset=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_3.png 1494w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_3-300x187.png 300w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_3-1024x639.png 1024w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_3-768x479.png 768w\" sizes=\"(max-width: 1494px) 100vw, 1494px\" \/><\/a><\/p>\n<ul>\n<li>What it shows:<br \/>\nA weekly trend line showing how team sentiment has evolved over the past three months.<\/li>\n<li>Why it&#8217;s useful:<br \/>\nHelps correlate sentiment shifts with project events (e.g., releases, deadlines) and see if interventions are improving morale over time.<\/li>\n<li>Data Range:<a id=\"SentimentAnalysisReport\"><\/a><br \/>\nWeekly sentiment scores averaged over 12 weeks, enabling managers to identify long-term patterns. Example: <em>A dip in sentiment around a release date could indicate stress or dissatisfaction with the release process.<\/em><\/li>\n<\/ul>\n<h3>4. Sentiment Analysis Report (Table Report)<\/h3>\n<p><a href=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_5.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-20760 size-full\" src=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_5.png\" alt=\"Report\" width=\"1664\" height=\"944\" srcset=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_5.png 1664w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_5-300x170.png 300w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_5-1024x581.png 1024w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_5-768x436.png 768w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2025\/03\/SA_5-1536x871.png 1536w\" sizes=\"(max-width: 1664px) 100vw, 1664px\" \/><\/a><\/p>\n<ul>\n<li style=\"text-align: left;\">What it shows:<\/li>\n<\/ul>\n<p>The <strong>Sentiment Analysis Report<\/strong> is presented in a tabular format with <strong>five columns<\/strong>:<\/p>\n<table style=\"border-collapse: collapse; width: 100%;\">\n<tbody>\n<tr>\n<td style=\"width: 11.5928%; text-align: left;\"><strong>Column<\/strong><\/td>\n<td style=\"width: 88.4072%; text-align: left;\"><strong>Description<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 11.5928%; text-align: left;\">Name<\/td>\n<td style=\"width: 88.4072%; text-align: left;\">Displays an anonymized identity (e.g., Person 1, Person 2). Individual names are <strong>hidden for privacy<\/strong>, ensuring that feedback is candid and unbiased.<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 11.5928%; text-align: left;\">Sentiment<\/td>\n<td style=\"width: 88.4072%; text-align: left;\">AI-detected overall sentiment of the comment\u2014can be <strong>Positive<\/strong>, <strong>Neutral<\/strong>, or <strong>Negative<\/strong>, based on the tone and wording of the feedback.<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 11.5928%; text-align: left;\">Emotions<\/td>\n<td style=\"width: 88.4072%; text-align: left;\">AI lists specific <strong>emotions and tones<\/strong> detected in the comment, such as <strong>frustration, encouragement, suggestion, satisfaction, criticism, concern, approval<\/strong>.<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 11.5928%; text-align: left;\">Contribution<\/td>\n<td style=\"width: 88.4072%; text-align: left;\">AI summarizes the <strong>main point or idea<\/strong> shared by the team member, highlighting issues, suggestions, commendations, or constructive feedback.<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 11.5928%; text-align: left;\">Points<\/td>\n<td style=\"width: 88.4072%; text-align: left;\">Numerical value assigned to the comment based on the sentiment: <strong>3 points for Positive, 1 point for Neutral, and 0 points for Negative<\/strong> comments. Useful for analyzing overall contribution quality.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<ul>\n<li>Why it&#8217;s useful:<br \/>\nOffers granular insight into specific praises or concerns that might otherwise go unnoticed, enabling targeted action.<\/li>\n<\/ul>\n<h2>Conclusion<\/h2>\n<p>The Sentiment Analysis feature in Nimble is a powerful lens into team morale, helping managers create a responsive, engaging, and motivated work environment. By proactively tracking sentiment, you can address concerns early, boost morale, and ensure that every team member feels heard and valued.<\/p>\n<div class=\"helpful-block-content wth-theme-thumbs\" data-title=\"\" >\n<ul>\n<li><span class=\"wth-title\">Was this helpful?<\/span><\/li>\n<li><a data-post=\"20697\" data-post-url=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/article\/viewing-sentiment-analysis-in-nimble\/\" data-post-title=\"Viewing Sentiment Analysis in Nimble\" data-response=\"1\" href=\"#\" class=\"wth-green-btn icon-thumbsup\">Yes<\/a>&nbsp; &nbsp;<a data-response=\"0\" data-post=\"20697\" data-post-url=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/article\/viewing-sentiment-analysis-in-nimble\/\" data-post-title=\"Viewing Sentiment Analysis in Nimble\" href=\"#\" class=\"wth-red-btn icon-thumbsdown\">No<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"author":5,"featured_media":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","multi-rating":{"mr_rating_results":[]},"_links":{"self":[{"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/article\/20697"}],"collection":[{"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/types\/article"}],"author":[{"embeddable":true,"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/comments?post=20697"}],"version-history":[{"count":48,"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/article\/20697\/revisions"}],"predecessor-version":[{"id":22701,"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/article\/20697\/revisions\/22701"}],"wp:attachment":[{"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/media?parent=20697"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}