Kia ora, 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

96.76%

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 10/10 232 days 100%
Dray L 10/10 260 days 99%
An 10/10 260 days 99%
Rebecca S 10/10 260 days 99%
Joaie 10/10 322 days 97%
Kirsty 10/10 352 days 96%
Daniel 10/10 413 days 93%
Klaudia 10/10 413 days 93%
Viktoria 10/10 505 days 88%
Lieske 10/10 566 days 84%
Jacinta 9/10 566 days 83%
Sof 10/10 625 days 80%
Rebecca 10/10 625 days 80%
Laura 8/10 656 days 76%
Daniel Carranza 10/10 748 days 70%
Audrey 8/10 748 days 69%
Aaron 9/10 778 days 67%
Rhea Y 10/10 778 days 67%
golden menu 9/10 778 days 67%
cclou 10/10 901 days 55%
Lulu 10/10 962 days 49%
Serena 8/10 2452 days 3%
Fran 9/10 2483 days 3%
Backpack On Fire 10/10 2483 days 3%
Remon 10/10 2544 days 3%
Martin Hansen 10/10 2575 days 3%
Bakers 9/10 2605 days 3%
Shane Howe 10/10 2605 days 3%
Kiwi kamper 8/10 2667 days 3%
Michelle Strydom 10/10 2758 days 3%
Marion & Leonie 9/10 2817 days 3%
Courtney 9/10 2817 days 3%
jcastl 9/10 2909 days 3%
Rikke Hessellund, Denmark 8/10 3154 days 2%
Keith Salway 10/10 3193 days 1%
Kyra Trouw 10/10 3230 days 2%
Annina Jarvinen 5/10 3236 days 1%
Claudie MieZech 10/10 3266 days 2%
Christoper Crowhurst 10/10 3313 days 2%
Greta Ross 8/10 3328 days 2%
Greg Smith 9/10 3375 days 2%
Nathan Lal 9/10 3386 days 2%
Daryl Fletcher 10/10 3411 days 2%
Blossom Yoshida 9/10 3428 days 1%
Lucile Gendre 9/10 3476 days 1%
Nicholas Tranchant 9/10 3483 days 1%
Jana Welsch 10/10 3497 days 1%
Sky Pardoe Davies 8/10 3502 days 1%
Christine Allgaier 10/10 3529 days 1%
Alison Gonscak 10/10 3530 days 1%
Jose Verli 10/10 3657 days 1%
Philipp Jahn 8/10 3678 days 1%
Aidan Byrne 7/10 3687 days 1%
Eric Pollard 10/10 3705 days 1%
Thomas Nix 9/10 3804 days 1%
Peter Barker 10/10 3862 days 1%
Sandra Hamilton 9/10 3874 days 1%
George Bellwood 9/10 3875 days 0%
Philippa and Adam 10/10 3876 days 1%
Nina Jensen 10/10 3922 days 0%
Tomas Soldat 8/10 3943 days 0%
Ahmed Mohsen Aly 8/10 4004 days 0%
Niall Crosby 6/10 4127 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

0.27% 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.