Explore: How to Use Spike Detection & Analysis

Separating the signal from the noise to help you focus on what’s truly important.

Whitney W. avatar
Written by Whitney W.
Updated over a week ago

Learn more about using Spike Detection & Analysis to help you identify statistically relevant events across news and social.

What is it?

A new AI-powered insights feature on the Mentions Trend widget in Explore: Spike Detection and Analysis.

Identifying statistically relevant shifts in news and social media conversation, with summary explanations, and insight drill-ins to view mentions and additional spike analytics.

We’ve also updated our Spike Alerts with the new contextual analytics across email, in-app, and Slack!

What’s the value?

The size of data and its pace of change overwhelms our human abilities to accurately and quickly analyze it. We struggle to separate the signal from the noise. What should we pay attention to? What should we dismiss? What should we ignore?

Powered by AI, we are now able to identify statistically relevant shifts in news and social media conversations, helping you focus on what’s truly important.

Summaries will explain why volume spikes have occurred and their relative significance.

Taking that analysis a step further, we provide the full list of mentions and relevant analytics for a specific spike, for a faster deep dive.

By automating some of these processes, we’re attempting to alleviate your lack of time and resources, as well as pointing you in the direction of the most crucial information you should be focusing on, to help with becoming data-driven.

How does it work?

In order to perform spike detection and analysis, users must first click the AI Spike Insights button in the top right-hand corner of the Mentions Trend widget.

Spike detection will then run and highlight any statistically significant spikes in the trend graph. This analysis is powered by the same technology that drives the Spike Detection Smart Alerts.

Spikes will be indicated by a lightbulb over the top of the spike. Click a bulb to launch the first analysis window.

  1. AI Spike Insights button - must be clicked to perform spike detection

  2. Light bulb - indicates a statistically significant spike. Click to gain insights.

  3. Spike Analysis - offering key insights related to a particular spike, including

    1. Total mentions and date

    2. Multiple more above average

    3. The following all feature mentions and comparisons to average

      1. Source driving spike

      2. Mentions spike total and average

      3. Top sources

      4. Top terms

      5. Sentiment

      6. Location

  4. View more insights - click to open a slide-out featuring Mentions and deeper Analytics for the spike

When you click View mentions, a slide-out content stream will appear, filtered to the day of the spike. This slide-out features two tabs, Mentions and Analytics, plus an Add filter option at the top.

The Mentions tab features a content stream that offers all the same functionality of the main stream on the page, including AI tags, search, and download options.

The Analytics tab features four widgets filtered to the day of the spike, including mentions trend by hour, top locations, top keywords, and sentiment.

The analytics widgets behave the same as they they do on the Overview tab in Explore.

Clicking Add filter, will apply the date filter (day of the spike) to the main Explore tab, closing the slide-out menu.

We’ve also updated our Spike Alerts with the new contextual analytics across email, in-app, and Slack.




💡 Tip

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