Ranking Score Explained

G'day, thanks for your interest in how we calculate an experience's ranking score. It's at the core of Rankers so I'm pleased you're curious.

The ranking score percentage is used to compare and sort experiences in ranking tables. It is not necessarily a direct measurement of the quality of a particular experience as rated by its customers. I've found it a useful tool to allow me to find the best experiences with confidence. But I've also found it important to read the customer reviews before making any final judgements!

We calculate an experience's ranking score using a multi-factor data model instead of a raw data average (mean). This model takes into account several important questions. For instance - is there a trusted body of reviews? What is the age of a review and is the review from a credible source?

Below you'll find details around some of the important factors that went into calculating the ranking score for TECT Park.

If you have any questions or comments about our ranking score calculation please get in touch at info@rankers.co.nz. We don't believe this is perfect or complete so we're always interested in ways we might make improvements.

Cymen Crick's avatar

Cymen Crick

Rankers Owner

TECT Park

Valid Reviews

63 Valid Reviews

The TECT Park experience has a total of 64 reviews. There are 63 valid reviews that are included when calculating the ranking score and 1 invalid review that are excluded from the calculation. Reviews can be excluded only when a reviewer is not verified or after an investigation by our team determines the reviewer is not genuine.

Within these 63 valid reviews, the experience has 2 face-to-face reviews collected during interviews by our team.

Below is the distribution of ratings for the 63 valid reviews:

Rating Count Percentage
10/10 34
54%
9/10 16
25%
8/10 10
16%
7/10 1
2%
6/10 1
2%
5/10 1
2%
4/10 0
0%
3/10 0
0%
2/10 0
0%
1/10 0
0%

92.38% Average

The raw data average (mean) for all the TECT Park valid reviews is 92.38% and is based on 63 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.

Weighted Average

96.57%

Rankers calculates a weighted mean as a base average on which we can improve. Individual review's ratings are given a weight based on several factors. The weight of a review determines the overall impact it'll have on the final weighted average.

Recent reviews have more weight as they are more relevant and reflect the experience as it currently operates. Over time reviews become less relevant and loose their impact on the ranking score.

Low rating reviews carry slightly less weight. This dampens the effect of very low ratings for every experience across the board. This is especially important when the experience has few reviews overall and a single negative rating can grossly mischaracterise an experience. Consistent poor reviews will still result in the experience receiving a comparitively low ranking score.

Credible sources provide reviews that can be trusted. If we have verified a reviewer is genuine via a face-to-face meeting then the review carries additional weight.

Reviewer Rating Age Relative Weight
Danni H 10/10 2 days 100%
Dray L 10/10 30 days 100%
An 10/10 30 days 100%
Rebecca S 10/10 30 days 100%
Joaie 10/10 92 days 100%
Kirsty 10/10 122 days 99%
Daniel 10/10 183 days 98%
Klaudia 10/10 183 days 98%
Viktoria 10/10 275 days 96%
Lieske 10/10 336 days 94%
Jacinta 9/10 336 days 93%
Sof 10/10 395 days 91%
Rebecca 10/10 395 days 91%
Laura 8/10 426 days 88%
Daniel Carranza 10/10 518 days 85%
Audrey 8/10 518 days 83%
Aaron 9/10 548 days 82%
Rhea Y 10/10 548 days 83%
golden menu 9/10 548 days 82%
cclou 10/10 671 days 74%
Lulu 10/10 732 days 69%
Serena 8/10 2222 days 3%
Fran 9/10 2253 days 3%
Backpack On Fire 10/10 2253 days 3%
Remon 10/10 2314 days 3%
Martin Hansen 10/10 2345 days 3%
Bakers 9/10 2375 days 3%
Shane Howe 10/10 2375 days 3%
Kiwi kamper 8/10 2437 days 3%
Michelle Strydom 10/10 2528 days 3%
Marion & Leonie 9/10 2587 days 3%
Courtney 9/10 2587 days 3%
jcastl 9/10 2679 days 3%
Rikke Hessellund, Denmark 8/10 2924 days 2%
Keith Salway 10/10 2963 days 1%
Kyra Trouw 10/10 3000 days 2%
Annina Jarvinen 5/10 3006 days 1%
Claudie MieZech 10/10 3036 days 2%
Christoper Crowhurst 10/10 3083 days 2%
Greta Ross 8/10 3098 days 2%
Greg Smith 9/10 3145 days 2%
Nathan Lal 9/10 3156 days 2%
Daryl Fletcher 10/10 3181 days 2%
Blossom Yoshida 9/10 3198 days 1%
Lucile Gendre 9/10 3246 days 1%
Nicholas Tranchant 9/10 3253 days 1%
Jana Welsch 10/10 3267 days 1%
Sky Pardoe Davies 8/10 3272 days 1%
Christine Allgaier 10/10 3299 days 1%
Alison Gonscak 10/10 3300 days 1%
Jose Verli 10/10 3427 days 1%
Philipp Jahn 8/10 3448 days 1%
Aidan Byrne 7/10 3457 days 1%
Eric Pollard 10/10 3475 days 1%
Thomas Nix 9/10 3574 days 1%
Peter Barker 10/10 3632 days 1%
Sandra Hamilton 9/10 3644 days 1%
George Bellwood 9/10 3645 days 0%
Philippa and Adam 10/10 3646 days 1%
Nina Jensen 10/10 3692 days 1%
Tomas Soldat 8/10 3713 days 0%
Ahmed Mohsen Aly 8/10 3774 days 0%
Niall Crosby 6/10 3898 days 0%

Adjustments

No Adjustment

Several adjustments to the weighted average may be added to improve relevancy and credibility. TECT Park does not meet the criteria for any of these adjustments to apply.

Balancing Adjustment

0.29% Adjustment

Every experience's review score is adjusted to balance out the disproportional number of negative reviews that are contributed.

You won't be surprised to learn that disgruntled folk are more likely to leave a review than happy ones. They are motivated to share their experience and warn others. We consider this a good thing and it's why reading the reviews is important. However we've learned it can misrepresent the experience in a more overall sense.

We apply a balancing adjustment to counteract this effect and ensure the ranking score is a more fair representation of the experience. This adjustment is applied equally to all experiences.

Final Ranking Score

97%

The final ranking score once any adjustments, ratings, and rounding has been applied. This value is recalculated each day and a short rolling average is applied. Therefore it may not be precisely accurate based on the other values presented.