What about taking in consideration also from whom the reviews are coming?
Not in the same way as the badges though
For example, a “very happy” rating given by a big time reviewers who also had a few less then perfect experiences, may be worth a lot more then a “very happy” given by reviewers who only have one or few reviews OR reviewers who constantly mark all their reviews in the same way. There are of course people with a few reviews who are just very careful who they see and they prepare a long time in advance for each appointment but in reality, people like these are very very rare and most reviewers learn and grow in a direct proportion with the number of escorts they see.
For any of the below, I would of course disregard all the reviewers with any ratted reviews. Also, both options below would be calculated only on the escorts that make your list with the current criteria (i.e. the ones with very high satisfaction number as you calculated), as to implement a further criteria to be able to see any differences.
Option 1 – Quick option
You can categorise reviewers, based on the number of reviews, here is just an idea, you can make your number different if you want to:
Reviewer Type 1: 1 – 10 reviews
Reviewer Type 2: 11 – 30 reviews
Reviewer Type 3: 31 – 50 reviews
Reviewer Type 4: 51 – 70 reviews
Reviewer Type 5: Over 70 reviews
Seeing with more experience comes a more discerning way of ratting, accord an increased number of points for each reviewer type. So a “very happy” from a RT1 can be for example 1 point, while “very happy” from a RT2 is 2 points, RT3 is 3 points and so on.
Option 2 – Number of reviews and percentage of highest rating in the reviews
This option would also take in consideration the number of reviews, so the RT types apply here too. But also the satisfaction factor for “very happy” cases is taken into consideration. The idea behind that someone with a high number of “very happy” reviews is either very generous (which takes away from the accuracy), either make their homework well (which most often means very few reviews as this type of client doesn’t visit very often, so the overall number is less impacted). In theory, someone who is very rarely very happy, when he is, it does count a lot more then someone who is always happy.
So for example, let’s assume reviewer John has 30 reviews and the percent of the “very happy” reviews is 60%. And reviewer Jack has 70 reviews and the percent of “very happy” reviews is 90%. In Option 1, we gave credit to Jack as being a more prolific reviewer. But in this option, we are afraid that maybe Jack is just a very nice guy, nothing wrong with that but he can affect the ratings by doing so and we also look to factor his generosity somehow.
So, as a suggestion (numbers can be again manipulated how you think fit):
RT1 (1 – 10 reviews):
No extra points for satisfaction factor percentage (too few reviews to judge)
Any other RT:
0% - 50% “very happy” = 2 extra points
51% - 80% “very happy” = 1 extra point
81% or more = no extra points
Going back to that example, John would be a RT2, so his “very happy” reviews would count as 2 points. Jack would be a RT4, so his “very happy” reviews would count as 4 points. But John would also get some discerning credit based on the percentage of his happy reviews – 1 extra point. Jack’s reviews would get no more extra points, as the percentage is bigger then 81%.
Advantages (both options):
Clients can be encouraged to review more, so they would know a review from them is more powerful in deciding who is on the list.
Disadvantages (both options):
- If top reviewers only visit certain type of escorts, it would make it very difficult (but not impossible) for any escorts that don’t match the preferred type of those top reviewers to be on the list.
- You also need to permanently check the review count of reviewer, to ensure they haven’t gone to a superior category and if they did, to update the old scores of the escorts reviewed too.
- A lot of extra work.