ClearAction

JANUARY 6, 2021

Leading indicators are identified by conducting (1) key driver analysis (also known as correlation analysis) with your index (e.g. Voice-of-the-customer is by default a lagging indicator, even when it’s real-time, because it already happened. 11) Start expecting everyone to align to customers.

Customer Experience 77

Customer Experience VOC Net Promoter Score Customer Experience Management 77

Qualtrics

MARCH 31, 2020

Some of the most common types of analysis to look out for include: Conjoint / MaxDiff. Regression analysis. Segmentation analysis. TURF analysis. Pricing analysis. Key Driver Analysis. Perceptual Mapping.

Key Driver Analysis 29

Key Driver Analysis 29

ClearAction

JANUARY 20, 2020

Key driver analysis (advocacy index correlation analysis) opens the door to actionability. Key drivers identify areas where non-customer-facing teams can make a difference. Apply Pareto analysis to customer comments and operations data for each key driver.

Customer Experience 120

Customer Experience CXM CX Customer Experience Management 120

Waypoint Group

AUGUST 1, 2018

Key-driver analysis becomes critical here. Analyze the feedback by segment (“1-to-Many”): Understand where the optimal improvement opportunities lie by using the right tools to identify those patterns across accounts that require attention from Product, Service, Support, Marketing, etc. R eveal the results.

Net Promoter Score 56

Net Promoter Score NPS Close the Loop Key Driver Analysis 56

Waypoint Group

APRIL 13, 2022

Does the vendor understand the statistics of key-driver analysis and how to apply it to your data set? And/Or, does the platform provide for statistical analysis to help you determine the optimal priorities? Do you need a masters in data analytics to get to insight, or does the platform surface patterns for you?

NPS 40

NPS Net Promoter Score Key Driver Analysis Customer Feedback 40

ClearAction

JANUARY 20, 2020

Key driver analysis (advocacy index correlation analysis) opens the door to actionability. Key drivers identify areas where non-customer-facing teams can make a difference. Apply Pareto analysis to customer comments and operations data for each key driver.

CXM 90

CXM CX Customer Experience Customer Experience Management 90

Waypoint Group

MARCH 20, 2019

By highlighting who has participated (accounts and persona) and the key themes, ideally linked to financials to strengthen your case, you’ll gain alignment with those cross-functional parts of the business that need continuous improvement. When positioned this way we routinely see participation (response) rates at 60%+.

Customer Feedback 40

Customer Feedback Key Driver Analysis Customer Experience Start-ups 40

Qualtrics

APRIL 5, 2021

Statistical analysis — from simple correlations to multivariate regression, there are many different methods you can apply to draw insights from quantitative data. Key driver analysis — identifies the most important factors behind an outcome (e.g. customer satisfaction, employee engagement, intent to buy etc.)

Text Analytics 26

Text Analytics Key Driver Analysis Social Media Predictive Analytics 26

Qualtrics

SEPTEMBER 24, 2019

The best platforms today have analytical tools built in that perform complex statistical analysis at the click of a button. Key driver analysis. Predictive analysis. These statistical analysis tools are the difference between having ‘data’ and having ‘insights.’. Qualitative data analysis.

Artificial Intelligence 20

Artificial Intelligence Key Driver Analysis Start-ups AI 20