A lot of us have anecdotes about terrible FF award availability, and they have seeded widely held beliefs: CO is awful, UA is pretty good, AA is getting worse, etc. But so far as I know there's no authoritative data-gathering exercise which measures the situation on a per-airline basis. I propose inventing one.
I would like to develop a fair and rigorous survey methodology to poll major US airlines' FF award availability. The goal is to publish a quarterly (or even monthly) index/ranking of airlines, showing how accessible their "standard" awards really are.
Look at gas prices. Everyone has anecdotes about how it's $2.55 here, $2.25 there, etc., but they don't add up to a market survey. For that you need Dan Lundberg, who brings a proven methodology to the price watch. We don't have a Dan Lundberg in the FF field... so maybe we can become the equivalent.
Some of the factors that would go into designing a survey methodology:
** How many airlines would we survey? I'd propose ranking all the US carriers offering online award search tools.
** How many random city pairs per airline would constitute a fair "core sample"? I'd propose 100.
** What timeframe between search date and travel date should we specify? Because anecdotes suggest the availability pictures changes as a travel date nears, I propose trying at least two timeframes: maybe 10 days out and 120 days out.
** Would we attempt to weight our "test city pairs" so we manufacture a mix of leisure and business destinations, foreign and domestic destinations, hub and multi-segment trips? Or just let random probability work its will?
** I propose we have non-elites survey standard award availability in all classes.
I think an index/ranking would interest not just FTers but the press and maybe universities. Lots of schools issue vague customer satisfaction rankings of airlines based on soft factors. This index would be about data.
I'm an ex-journalist, now a writer and information designer, and I'd like to have a crack at this -- but I need some help and would like the community to comment on/propose revisions to the methodology ideas above.
Anybody want to play?
