Are you trying to understand how much value you deliver to customers?

In my research on value for customer I came across an interesting method, called Potential Gain In Value (PGV). I want to share it with you because PGV gives you a simple way to approximate the value delivered. And it helps you prioritize your CX initiatives. And the best thing is: it’s a “recipe” you can make without buying or collecting new data because it works with data most of you already have in your “data kitchen.”

Recipe For Calculating Value Delivered And Value Gap

Below, find the ingredients, materials needed, and directions. At the end of this post is an image of the finished dish. Good luck, and let me know how your value “dish” turned out.

Ingredients:

  • 1 set of survey responses with ratings on how well your firm performs on CX drivers. A common question to gather this data is “Please rate how satisfied you are with the following.” You need the rating on a scale (e.g., on a 1–5, 1–7, or 1–10 scale) for each individual customer.
  • 1 set of survey responses with ratings of the overall experience, satisfaction, or loyalty from the same survey participants.

Materials Needed:

  • Statistical analysis tool or survey tool for doing a key driver analysis
  • Spreadsheet
  • Slide creation tool (optional)

Directions:

  1. Feed the performance ratings and the overall CX ratings into your statistical tool. Define the performance ratings as the independent variables. Define the overall CX, satisfaction, or loyalty metric as the dependent variable.
  2. Analyze until you identify the derived importance of each driver (i.e., the impact of each driver on overall CX, satisfaction, or loyalty).
  3. Open a spreadsheet and create five columns: 1) Drivers; 2) Importance; 3) Performance; 4) Delivered Value; 5) Desired Value; and 6) Value Gap.
  4. In the column “Drivers,” enter the name of all drivers, one per row.
  5. In the column “Importance,” enter the derived importance rating for each driver in the respective row.
  6. In the column “Performance,” enter the performance rating for each driver in the respective row. That is the average of the ratings each respondent has given on the performance scale for that driver.
  7. In the column “Delivered Value,” enter a formula in each row that calculates the cell value by multiplying the Importance (column 2) and the Performance (column 3).
  8. Highlight these results, because they give you the value you deliver currently on each driver.
  9. In the column “Desired Value,” enter a formula in each row that calculates the cell value by multiplying the Importance (column 2) with the highest possible score on the scale you used to measure Performance (that’s the top point of your scale, whether that’s a 5, 7, or 10).
  10. In the column “Value Gap,” enter a formula that calculates the cell value by subtracting the Delivered Value (column 4) from the Desired Value (column 5).
  11. Highlight these results. The higher the number, the higher the value gap and the more you should focus on it.
  12. Share the results with stakeholders in a few punchy slides, and get some improvements going!
How To Use Survey Data To Calculate The Value Delivered And Identify The Biggest Value Gaps

 

Variations On The Recipe For The Advanced CX Pro

How well this works depends on how well your drivers cover the different dimensions of value. Check out the report “Value For Customers: The Four Dimensions That Matter” and ask yourself whether you have drivers that represent:

  • Economic value (money).
  • Functional value (purpose/ease).
  • Experiential value (interactions/sensations).
  • Symbolic value (meaning).

Chances are you focus on functional value. If you are not covering all dimensions, I recommend that you do some research, expand your set of drivers, and collect more data, then use those as ingredients as you follow this recipe again.

Please let me know if you want to participate in my ongoing research into measuring value for customers. And as always, please let me know what you think about this post.