Overview Dashboard - User Guide
Introduction
The Overview Dashboard serves as the central hub for monitoring and analyzing user interactions with your content on AnnounceKit. It's designed to give you immediate insights into your project's performance, featuring a range of analytics from post interactions to feature request feedback. This guide explains each section of the dashboard, helping you navigate and utilize the available data effectively.
Latest Activities
Last Published Post: Displays the most recently published post.
Upcoming Post: Shows the next scheduled post.
Last Drafted Post: Access the latest draft for quick editing.
Last Post Feedback: Review recent feedback on your posts.
Last Post Reaction: Overview of the latest reactions to your posts.
Last Feature Request: Quickly see the most recent feature request submitted.
Last Feature Request Upvote: Displays the latest upvote on any feature request.
Last Feature Request Comment: Shows the most recent comment made on a feature request.
Views Analytics
Post Views: Counted when someone accesses your changelog or widget page and either scrolls down, hovers over, or clicks a post link.
Widget Views: Triggered each time your widget is activated; sums all widget views if multiple are active.
Changelog Views: Each visit to your changelog page is counted as a view.
Feature Request Views: Counted each time someone clicks to view the full content of a feature request.
Roadmap Views: Similar to feature request views, counted when the full content is viewed.
Statistics Section
Posts, Feature Requests, Emails, Boosters, Users: Each category offers detailed insights through interactive graphs and metrics.
Post Statistics
It is on the Overview Dashboard provides a comprehensive look at the engagement and interaction metrics related to your posts. Each element within this section is designed to offer actionable insights into how users are interacting with your content. Here are the details for each metric:
Created Posts:
This metric counts the total number of posts you have created. It includes posts in various stages such as live, scheduled, draft, and expired, giving you a broad view of your content production efforts.
Customer Happiness:
Displayed as a pie chart, this metric measures the overall satisfaction of your users with the content provided. It is calculated using the formula: Happiness=(Happy+0.5×Neutral)/Total Reactions
Total Reactions This formula weights positive reactions fully, neutral reactions partially, and does not count negative reactions, providing a nuanced view of user sentiment.
Reactions:
This metric tracks the total number of emoji reactions users have left on your posts. It helps gauge the emotional response of your audience, offering a quick snapshot of how users feel about your content.
Comments:
See the total number of comments users have made on your posts. This metric is crucial for understanding the level of user engagement and interaction beyond basic reactions, indicating areas where users are motivated to initiate discussions or ask questions.
Link Clicks:
This counts how many times users have clicked on links within your posts. High numbers here can indicate that your content is effectively encouraging users to take action, such as visiting a product page, signing up for more information, or any other linked resources.
Total Engagements:
A comprehensive metric that sums up the total interactions on your posts, including all reactions, comments, and link clicks. This overall engagement score helps you understand the aggregate interaction level each post achieves, providing a measure of content effectiveness.
Top Performing Posts:
This ranks your posts by engagement, using specific weights assigned to comments (30%), link clicks (30%), reactions (25%), and views (15%). The scoring system reflects the relative importance of each interaction type, helping you identify which posts resonate most with your audience based on a balanced consideration of all key engagement metrics.
Each of these metrics plays a crucial role in providing a detailed analysis of your posts' performance, allowing you to tailor your content strategy based on specific user feedback and interaction trends.
Feature Request Statistics
Created Feature Request:
This metric shows the total number of created feature requests with including their status. You can easily use segment filter to see which user groups suggest feature requests.
Upvotes:
This metric shows the total number of upvotes from users on various feature requests, including any manually added from the dashboard. It helps gauge which features are most popular and desired by your user base.
Comments:
Displays the total comments on feature requests, indicating how much discussion or query each feature is generating. It is essential for gauging user interest and gathering feedback for future development.
Moved to Roadmap:
Tracks the number of feature requests that have been progressed from initial suggestion to being planned on the product roadmap, showcasing active development and response to user feedback.
Moved to Jira:
This metric shows how many feature requests have been moved to Jira for development tracking. It helps manage the workflow of turning user requests into actual product enhancements.
Generated Tickets:
Measures the number of tickets generated for feature requests, often using automated tools like AI, indicating operational efficiency and responsiveness.
Replied Requests:
Counts the number of feature requests to which responses have been made, reflecting the engagement level of the team with the user base’s suggestions
Top Trending Feature Requests
This ranks your top 5 performing feature request with a formula like Views + 0.3*Upvotes + 0.5*Comments.
Email Statistics
Unique Email Sent:
Tracks the number of unique emails sent, providing insights into how many distinct messages are being communicated, which includes email digests.
Emails Sent:
The total number of emails sent, showing the volume of outreach efforts including multiple recipients receiving the same email.
Deliverability:
Monitors the success rate of emails reaching the recipient's inbox, important for assessing the effectiveness of email campaigns.
New Subscribers:
Indicates the number of new users who opted to receive emails during a selected period, useful for tracking growth in engagement and reach.
Unsubscribers:
Counts how many subscribers opted out of receiving emails, which can provide insights into content relevance and subscriber satisfaction.
Top Performing Emails:
Ranks emails based on their effectiveness and engagement. The performance is typically measured by open rates, click-through rates, and conversion rates, where higher numbers indicate that an email was particularly successful in engaging recipients. This metric helps identify which types of email content resonate best with your audience, enabling targeted improvements for future campaigns.
Booster Performance Statistics (Modal, Pop-up, Bar)
Views:
Tracks how many times users have viewed various types of boosters like modals, pop-ups, and bars, which are used to promote engagement and provide important notices.
Clicks:
Measures the number of times users have interacted with these boosters, crucial for evaluating the effectiveness of these engagement tools.
Top Performing Boosters:
Ranks boosters based on their performance, which is determined by a combination of views and clicks. The scoring system for this ranking uses specific weights—views are weighted by 1 and clicks by 3, emphasizing the importance of direct user interaction. Higher scores indicate that a booster is effectively engaging users and driving desired actions, helping to identify the most impactful strategies in user engagement.
User Engagement Statistics
Sessions:
This metric counts the total number of individual user sessions on your platform, providing insights into user visits and their activity duration.
Unique Users:
Shows the number of distinct users who have visited your site, useful for understanding the reach of your content and identifying user engagement levels.
Top Active Users
Interaction Score: Ranks users based on their total interactions across the platform including posts, boosters, emails, and feature requests. It uses a sum of all user interactions to determine the most active users, highlighting those who are most engaged.