Perfected Painpoint Reporting

Ipiphany accelerates the discovery of actionable insights and the new Painpoint & Highlight Analysis makes it easier to communicate these insights directly to business decision makers in a format they understand.

What makes the Painpoint & Highlight Analysis perfect for driving action in my business?

  • It provides a concise summary of both the positive and negative areas of experience for a business function, product, or customer journey

  • It allows you view a snapshot of a specified reporting period compared with the previous period, for example 'This Month' vs 'Last Month'.

  • Insights are reported by default as a Frequency %. Once you have established an Insight as being either a Painpoint or Highlight the most important metric to track is how often it occurs. This is very easy to explain and business users intuitively understand.

  • Insights are displayed with a description that summarizes the issue, and a key example that you can select to illustrate the problem using the customers words.

How should I use this new analysis type?

We suggest that you create a Painpoint & Highlight analysis for each key area of the business (channel, product, customer journey, process) and share it to the person or team in charge of that area. Then you can easily track the changes over time and update the analysis with new insights as the old ones are actioned or the situation changes.

If you would like further instruction or training on how best to use this feature please contact us or mention it to your account manager.

Faster Analysis Creation

The 'Categorize' and 'Edit' screens have been combined to speed up the creation of analyses and make it easier to create rich insights full of detailed aspects.

  • We have tuned the default settings of the pattern library to pick out the most relevant insight and aspect patterns

  • Insights are now automatically created with a relevant set of aspect sections

  • Added the ability to control how an aspect is related to its insight, either it is treated as independent, contributes to the insight, or is filtered by the insight. Alternatively, just let Ipiphany take care of it with intelligent defaults.

Streamlined Explain Feature

We have removed some of the columns from Explain in the Preview Panel and have improved its defaults. Its now much easier to spot the patterns that best explain an insight.

Tip - The preview panel is the best place to look for insight aspects which are critical for the creation of actionable insights.

Crosstab Tool

Crosstabs are sometimes referred to as contingency tables, data tabulations, or pivot tables. They enable you the explore the relationship between two variables.

For example, lets say you have found the painpoints present in an onboarding process. Are these painpoints distributed evenly across each customer segment? Does the age of the person make a difference? Do any of the painpoints increase or decrease in particular months? The Crosstab tool allows you to easily answer these questions.

Other Changes

Fixes

  • Fixed the Preview Panel Examples tab showing 'Add Key Example' for aspects (aspect cannot have key examples)

  • Fixed creating insights that start with a ' ', space characters will be trimmed

  • Fixed the trend module tooltip being too wide

  • Fixed an error that occurred when clicking 'No matching users found' in the share screen

  • Fixed an issue that was could cause insight reordering to stop working

  • Fixed 'View All' link broken when in the Edit mode on the Sunburst chart

  • Fixed the Relationship Tools priority control not showing when concepts have already been selected under Key Drivers

  • Fixed newly created aspect not being capitalized correctly

  • Fixed the home screen analysis cards not showing the date that relates to how the cards are being sorted

Coming soon...

  • Ability to copy analyses between datasets

  • Automatic detection and correction of domain knowledge changes in analyses

If you have any questions or comments on this release or anything Ipiphany related let us know.

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