Missions

A Mission is a consolidation of insights. You can set up email notifications to receive up-to-date insights once data is refreshed. Then, share those insights with your colleagues and stakeholders so that everyone is aligned.

Weekly Standups—To discuss what's happened in the past week, and areas to focus on and work on.
Monthly Management Meetings—To identify action items and decisions for management to make.
Adhoc Requests—Businesses have specific questions on areas they want insights on.
Coaching—Specific performance of individuals to be used in 1:1s.

To create best-in-class Missions, have an idea of what process you're using the Mission for and some idea of measures (for example, Revenue, Number of Clients, Number of Claims, or Expenses) you're focusing on.

Questions To Ask Yourself When Creating a Mission

What kind of measures do I need continuous monitoring to validate a hypothesis? For example, I need to monitor my team's performance to find coaching opportunities. Or, there has been a decline in sales for a specific product. What's happening there?
Is there a reporting cadence I need to set up my Missions on? For example, I have a weekly meeting with my team or a monthly management review to prepare in advance.
Who is my target audience for this Mission? It's only for me to monitor any outliers and anomalies. Or, it's for my stakeholders for their weekly meetings and monthly presentations.

Magic Missions

You can create Missions manually or use a template. We call the templates magic Missions because they do all the work for you in seconds!

To create a Mission, go to the Missions page.
Select 1 of the template options: KPI Deep Dive Report, Executive Summary, Correlation Analysis Report, or New Mission. See the Create Missions article for more details.
1. Use the KPI Deep Dive Report—confirm or select your dataset and Select a measure. Then, select Create Mission. Auto Insights names your new Mission with the date and time stamp. You can change it on the Summary page.
2. Use the Executive Summary template option—confirm or select your dataset, then select Create Mission. Auto Insights names your new Mission with the date and time stamp. You can change it on the Summary page.
3. Use the Correlation Analysis option—confirm or select your datasets, and select your 2 measures. Then, select Create Mission. Auto Insights names your new Mission with the date and time stamp. You can change it on the Summary page. Note that Correlation Analysis does not work if you use a dataset without time series data.
4. Use the New Mission option to build from scratch—select measures, counts, or averages to build your Mission. Then select Create Mission.

Mission Summary

Upon creating a Mission, you land on the summary page. This page is auto-created and overviews all the pages within a single Mission. As you build your Mission pages, more tiles (sections) display on the summary page. When you set a subscription schedule, Auto Insights sends this summary page to your email.

Tip

Use the Jump-to-Page dropdown at the center of the navigation bar to quickly switch between pages of your Mission.

Expand and Collapse Your View

By default, your Mission Summary page shows sections expanded. To quickly scan the summary and decide if you want to explore specific sections in detail, switch to a collapsed view. To do so, select Expanded > Collapse all pages in the top navigation bar.

Expanded view dropdown

This does not change the format of your subscription email. It still displays as expanded.

Magic Documents

Magic Document Button

Totals vs Change

Whenever we interact with data, there are 2 main types of analysis that we want to uncover—we want to understand the changes compared to the previous period and know within that period what's contributing to the numbers.

Total

Select the How was the total distributed? tab to have Auto Insights focus on just proportion and disregard insights related to change over time.

Total distributed tab

You can further customize this type of insight by removing the time comparison period or selecting All time.

All of time

Change

Select the What key changes occurred? tab to have Auto Insights explain the changes that happened. Note: The changes tab is unavailable if you use a dataset without time series data.

Changes occurred tab

Change the Time Comparison Period

Change the time period comparison, and add filters or breakdowns to curate Auto Insights' analysis further. You can change the comparison period to compare against the previous month or the same month last year. Refer to this article on Time Period comparison for details.

Totals Tables

Use Total Tables to provide more context for the Totals you see on your Mission page.

View totals tables on your Mission page...

Go to the Missions tab.
Select the Mission you want to update.
From the Mission's Summary Page, select Edit.
Select a page to edit.
Select How was the total distributed?
Make sure you've selected a breakdown (segment), or select + Add Breakdown now.
Now a Show data table check box displays. Check the box to display a table nested under its respective page.

To include a totals table in your Mission's Insight email, select Chart options, then check the box for Include table in email subscriptions. Note that this option is only available for table charts when you're on the How was the total distributed? tab.

Option to include table in Insights email

Query Bar

Each page has a query bar that provides the focus of analysis for that specific page. Use this query bar to get Auto Insights to search for insights on a specific area. Add another query bar to analyze the relationship between 2 different metrics. Learn more about the query bar in the Edit Missions article. Note: Time period selection is unavailable if you use a dataset without time series data.

query bar

Some Considerations for Interacting with the Query Bar

Do I want Auto Insights to tell me where to focus? For example, I'm not sure which segment I should break down by. Things constantly change each month.

If this is what you need each month, let Auto Insights do the work and identify the most significant contributing factors that cause the change. You should leave the filters and breakdowns blank in this scenario. This way, Auto Insights calculates the most significant contributing factors and displays them in descending order.

I know that I need to focus on a specific area. For example:
- I need to only look at my team's performance. I'm not interested in other teams.
- I need to only focus on my product. I'm not interested in other products.

In this scenario, you should add filters to your query—for example, Team 6.

I know that I want to compare across a segment (dimension).
- I need to understand movement across all teams.
- I need to know how my product is performing against other products.

In this scenario, you should add breakdowns to your query—for example, Team.