Use the Trends tool to discover patterns that are changing over time or are driving a top level change in key metrics.
The trends tool contains algorithms to identify and explain significant, fast moving, and emerging trends, as well as the underlying key drivers and root causes.
Three important ways to use Trends
Trend Drivers - You want to understand what is causing or correlates with a change in your target metric
Largest Changes - You want to understand what patterns have the largest change in frequency, target metric or impact
Emerging & Fastest Changes - You want to understand the patterns that have the fastest moving changes in frequency, target metric or impact
Using the Trends tool (walk through)
To start your analysis select a period over which your wish to understand the underlying trends.
The top time series chart displays frequency (bars) and your target metric (line) across the full period of your data. This enables you to easily identify when key changes in your target metric are taking place, and select these periods for analysis.
To select a sub-period to analyze simply highlight the area of the graph. This will automatically apply a filter for this period, and the Trends summary and scatter chart will then display results for this period.
Understanding different aspects of the data
When analyzing data using the Trends tool you can change the 'By understanding' control to view the data through different dimensions.
The most important three views are:
Concepts - Discovers trends in important drivers relating to common concepts
Themes - Discovers more nuanced trends than concepts, including aspects unique to your data that may not be included in Concepts
Segments - Discovers important drivers and differences in your structured data. Either select 'Segments' to see all these categorical attributes at once, or select a specific attribute.
Use the Priority control to highlight what is important
Once you have selected the period, then select which priority metric you wish to discover trends for.
The three most commonly used priority metric options are:
Frequency % - to understand changes in the frequency of patterns as a % of each month
Target Metric - to understand changes in your target metric for individual patterns across the selected period
Impact - to understand which patterns have a changing impact on your target metric (taking into account both changes in frequency and your target metric for each pattern)
By default Trends will display patterns with either the largest increase or decrease in your target metric. However you can further filter patterns to only
Increasing - Patterns that show an increase in your priority metric
Decreasing - Patterns that show a decrease in your priority metric
Also you can choose to rank patterns by either an
Absolute Change (Changing/Increasing/Decreasing) - is the difference between the last month and first month of your selected period for your priority metric
Relative % Change (% Changing/Increasing/Decreasing) - the difference as a % of the first month of your selected period. e.g. a change of 10 to 15 is a 150% increase
Note that you can quickly toggle between Change and % Change using the Fast Movers toggle control
Visualizing the results
Once the results are returned you can then choose the visualization type and set any chart dimensions to best reflect what you are trying to understand.
Trends provides the following visualizations to help with analyzing your data:
Understanding the Trends Scatter Chart
Typically the most useful visualization to use when initially understanding Trends is the Scatter Chart.
By default the Scatter Chart automatically chooses the best chart settings to display trends by displaying
The X-Axis displays your priority metric
The Y-Axis displays the change or % change in your priority metric i.e. increasing at the top (think UP) and decreasing at the bottom (think DOWN)
The color displays the difference in the pattern target metric to the overall value
The size displays the frequency
Also when your target metric is Impact, the Scatter Chart automatically displays data in four labelled quadrants making it easier to interpret.
The quadrant labels will change depend on whether you have selected to 'Minimize' or 'Maximize' your target metric in the I want to improve control.
When you have selected to 'Maximize' your target metric, then proceeding clockwise from the top left these quadrants are:
Positive and Improving (Top Right) - These patterns are already positive contributors to your overall target metric - and their contribution is increasing
Positive but deteriorating (Bottom Right) - These patterns are positive contributors to your overall target metric - however their contribution is decreasing (and may become detractors)
Negative and deteriorating (Bottom Left) - These patterns are detracting from your overall target metric - and this detraction is increasing
Negative but improving (Top Left) - These patterns are detracting from your overall target metric - but this detraction is decreasing (and may become positive contributors)
Understanding and explaining each trending pattern
To better understand each of the trending patterns you can
Mouse over the pattern and view the summary statistics
Click on the the bubble or bar and use the right-hand-side preview function
When viewing the trend tooltip statistics, the change for all metrics is shown alongside the average value across the entire period.
This enables you to understand whether a change in impact is being driven by a change in frequency, your target metric or both.
e.g. in the above example we can see that this Pricing & Value pattern
Is a relatively frequent pattern (22.7% of all data)
Has a modest absolute increase in frequency (up 2.9 points) - which represents and increase of 12.8%
However there is a large decrease in NPS (down 17.4 points)
Resulting in a significant change in impact (down 4.5 points)
So we can understand that the perception on Pricing and Value significantly deteriorated over this period - and has impacted the overall NPS
Clicking on each trend pattern will preview the pattern on the right-hand-side and you can visually see this change over time
To understand this Trend further use the Preview Explain tab to view a Cloud that explains this trend.
In the below example we can see that customers are mentioning competitive themes relating to interest rates
e.g. interest rate, term rate, offer rate, better rate, better deal, negotiate rate
Also if you have sufficient volume of data you can drill down and analyze sub-trends for this Trend pattern by
Adding this trend pattern as a filter
(right click on the Trend chip and select 'Add to filters')
Using the trend tool with 'By Understanding' set to themes
Then explore the sub-themes and to explain changes
And now we can see more clearly that this negative trend is driven by customers wanting more competitive Term Deposit interest rates. Furthermore it appears this issue is partially mitigated for those customers who speaking to a customer service agent and negotiating or receive a better rate.
Which can also be easily validated by reading example verbatims