Board path
Listening > Crisis Management > Crisis Management
Why use this board
Use this board to monitor sudden volume and sentiment shifts that may signal a crisis; support faster detection and escalation decisions.
Board controls
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Spike alert: Select a value from the toolbar.
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Adaptive filters: Open Filter in the toolbar to narrow posts by Platform, Content Label, Sentiment, Language, Country, Interest, Media Type, Content Type, Full-text, or Advanced filter. Active filters appear as chips below the toolbar; remove a chip to clear that filter.
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Date range: Defaults to the last 30 days. The board subtitle shows the active range when available.
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Aggregated by: Day, Week, Month, Quarter, Year.
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Export: Export the table to XLSX, including the selected date range when available.
Metrics on this board
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Number of mentions — Number of mentions by platform
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Mentions — Spike alerts overview
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Mentions — Top keywords
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Mentions — Top themes
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Mentions — Top emojis
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Number of mentions — Number of mentions
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Mentions — Top hashtags
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Authors — Top hashtags
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Interactions — Top hashtags
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Potential Impressions — Top hashtags
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Number of mentions — Sentiment of mentions trend
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Number of mentions — Sentiment of mentions by platform
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Followers — Top authors by mentions
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Mentions — Top authors by mentions
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Interactions — Top authors by mentions
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Potential Impressions — Top authors by mentions
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Followers — Top authors by potential impressions
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Potential Impressions — Top authors by potential impressions
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Mentions — Top authors by potential impressions
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Interactions — Top authors by potential impressions
Widgets
Number of mentions by platform
What it measures: The distribution of detected mentions among selected data sources and filters, segregated by platform (e.g. social media network, blog, forum, news site, etc.). Mentions discovered by multiple data sources are counted only once. Shown as vertical bars — compare categories side by side to see which drives the most volume.
Metrics: Number of mentions
Visualization: Bar chart
Spike alerts overview
What it measures: This table shows the total number of spikes detected among the spike alerts created for the anaylzed queries. It also shows the detection time, duration, number of mentions, and top keywords associated with each spike.
Metrics: Mentions
Visualization: Table
Top keywords
What it measures: The most frequently used keywords among mentions matching the analyzed queries, visualized in a word cloud. The more frequently a keyword appears in mentions, the larger its frame in the word cloud.
Metrics: Mentions
Visualization: Word cloud
Top themes
What it measures: Themes are specific topics detected in mentions matching the analyzed queries. You can think of themes as detailed points that can be grouped under interests. Each mention can have multiple themes. This metric shows the themes most frequently detected by our machine learning system, which can predict up to 10,000 different themes from mentions text. It supports English, Spanish, Portuguese, and partially Czech. Shown as a word cloud — larger labels mean higher frequency; use it to spot the most common themes, keywords, or hashtags in your data.
Metrics: Mentions
Visualization: Word cloud
Top emojis
What it measures: An overview of the most frequently featured emojis among mentions matching the analyzed queries. Shown as a word cloud — larger labels mean higher frequency; use it to spot the most common themes, keywords, or hashtags in your data.
Metrics: Mentions
Visualization: Word cloud
Number of mentions
What it measures: An overview of the number of detected mentions among selected data sources and filters, segregated by mention publication date. Mentions discovered by multiple data sources are counted only once. Shown as bars over time — use it to compare day-by-day or period-by-period volume and spot spikes.
Metrics: Number of mentions
Visualization: Bar trend
Top hashtags
What it measures: The most frequently used hashtags across mentions matching the analyzed queries. Shown in a sortable table — use it for exact values per row and to compare individual items (for example agents, profiles, or authors).
Metrics: Mentions, Authors, Interactions, Potential Impressions
Visualization: Table
Sentiment of mentions trend
What it measures: An overview of the total number of detected mentions among selected data sources and filters, segregated by sentiment (Positive, Negative, Neutral) and mention publication date. Mentions discovered by multiple data sources are counted only once. Shown as a trend over time — use it to spot spikes, drops, and seasonality across the selected period.
Metrics: Number of mentions
Visualization: Line chart
Sentiment of mentions by platform
What it measures: The distribution of detected mentions among selected data sources and filters, segregated by sentiment (Positive, Negative, Neutral) and platform (e.g. social media network, blog, forum, news site, etc.). Mentions discovered by multiple data sources are counted only once. Shown as stacked bars — each segment shows a category's share of the total; use it to see composition, not just the headline number.
Metrics: Number of mentions
Visualization: Stacked bar chart
Top authors by mentions
What it measures: This table highlights the authors who published the highest number of detected mentions among selected data sources and filters.
Metrics: Followers, Mentions, Interactions, Potential Impressions
Visualization: Table
Top authors by potential impressions
What it measures: This table highlights the authors of detected mentions among selected data sources and filters with the highest potential audience impact, sorted by their number of potential impressions. For X, YouTube, Facebook, and Instagram, potential impressions are calculated based on the author's follower count at the time of the mention's publication. For post and comments from personal Facebook profiles, potential impressions data is unavailable. For web sources, (e.g. news, blogs, forums, etc.), potential impressions data is unavilable. This table displays authors from web sources only if there are fewer than 50 authors from other listening sources. Some authors, particularly from Instagram hashtag searches, are listed as 'Unknown' due to API limitations. They are displayed with only one mention since aggregating them to a unique author is not possible.
Metrics: Followers, Potential Impressions, Mentions, Interactions
Visualization: Table