Didn't have enough time ro fully finish my initial post. This is a brain dump of additional thoughts...
I am sure that Choice's sister organisation in other countries would also find the information useful and it may he possible for Choice to be able to get a financial return on the data collected by sharing/selling to these sister organisations or even government agencies in other countries. There is also oportunity to collect their own data to see if there is any cultural differences between population sampled. One might find in some countries, some items are considered disposable (short life expectation) while in others are cherished (long life expectation).
The data would also plug directly into Choice's reliability survey and could be used in its magazine, when discussing products and whether particular brands meets the consumer's life/reliability expectations.
The data would also be useful for regulators, especially those relating to waste and recycing as they could use the information to plan for waste and/or decision making in relation to what products ahould be recycled (or made to allow easy recycling or plan for facilities to recycle such products). ... for example, if a smart phone has a anticipated life of 2 years by the consumer, government can calculate how much waste is generated and instigate recycling/reuse program to deal with the waste. It also gives government and business an idea of the turnover of products (esp. white goods). It will also encourage businesses to compete on quality and price, and the consumer to be able to better budget for product replacement at end of life (helping reduce cost of living).
Some businesses may not be in favour, especially those who only cater for a particular price point and will compromise quality at the expense of longevity. What should happen is there will be pressure on these businesses/manufacturers to improve their quality to meet the consumer's expectations. If they don't, they will lose business through poor reputation.
It may also encourage manufacturers to make products which can be easily repaired, especially if the data shows consumers expect long fault free periods....faults woukd need to be fixed easily to keep costs down, particularly where the repair is under the ACL.
Also, it may drive better clarification on consumables associated with a product, which may have shorter lives, for example, L-ion batteries used in car where there is an expectation that the consumer pays for replacement after 4-5 years, whereby the same device has a life of say 10 years or 300 000km.
It may drive manufacturers to define what they consider normal use, e.g, washing machine used daily. If it is used hourly, then the life would be reduced.