Solutions From The Multiverse

Solving Ratings: Rating Movies, Books, and Food w/ Net Promoter Score (NPS) | SFM E69

November 28, 2023 Adam Braus Season 2 Episode 15
Solutions From The Multiverse
Solving Ratings: Rating Movies, Books, and Food w/ Net Promoter Score (NPS) | SFM E69
Show Notes Transcript Chapter Markers

What if there was a way to truly express your opinions on movies, restaurants, and more, using a simple scoring system? Welcome to our new recording space in Oakland where we're about to explore how the Net Promoter Score (NPS), a tool known to the marketing and product design world, can revolutionize the way we evaluate our entertainment and dining experiences. From dissecting classic movie archetypes and recognizing exceptions like District 9, to discussing the human instinct for storytelling and the solid foundation a three-act structure provides - we're shedding light on the fascinating world of narratives.

Ever wondered what it would be like to wield influence, to have the power to drive change just by expressing your opinion? We're talking about the potential of NPS to do exactly that. Breaking down the three categories - promoters, neutrals, and detractors - we're exploring the challenges in achieving a high NPS score and the significance of hitting the elusive 70. We're also discussing the potential risks and rewards of power, be it on the big screens or in the back alleys.

And if you're a fan of online ratings, hold your breath as we venture into how NPS could be calculated using IMDb ratings or applied to Yelp reviews. With a peek into the Reddit community's opinions on Star Wars and ideas to split restaurant ratings into food and ambience, we're unpacking the potential of NPS to revolutionize customer satisfaction. So, join us on this thrilling ride as we debate the value of a well-made movie and muse over the possibility of creating a software that utilizes IMDb's open API to calculate NPS for movies and TV shows. Change the way you perceive ratings, and who knows - you might just discover a new favorite movie along the way!


Help these new solutions spread by ...

  1. Subscribing wherever you listen to podcasts
  2. Leaving a 5-star review
  3. Sharing your favorite solution with your friends and network (this makes a BIG difference)

Comments? Feedback? Questions? Solutions? Message us! We will do a mailbag episode.

Email:
solutionsfromthemultiverse@gmail.com
Adam: @ajbraus - braus@hey.com
Scot: @scotmaupin

adambraus.com (Link to Adam's projects and books)
The Perfect Show (Scot's solo podcast)
The Numey (inflation-free currency)

Thanks to Jonah Burns for the SFM music.

Speaker 1:

Welcome to my new abode. Oh, it's nice. Yeah, I like it. The layout's super nice.

Speaker 2:

So we're recording in a new space if it sounds different. That's why, but Deal with it. Deal with it, yes.

Speaker 1:

Exactly. All right, it's great we're in the middle of Oakland, california.

Speaker 2:

Yes, we are now. Usually we're coming to you from San Francisco today, oakland. I feel like I'm very echoey.

Speaker 1:

We're getting cooler than ever. Are you going to try your righty downy thing or no?

Speaker 2:

My righty downy thing.

Speaker 1:

Where, as we record, if there's a problem, you write it down so that you don't have to edit.

Speaker 2:

No, I don't know where any of my writing down stuff is right now, it's OK, just an idea. We could try that later.

Speaker 1:

I'm not organized enough to know where paper and pens are, Because I'm literally this entire weekend I've been pulling stuff out of boxes and putting it on shelves. It's looking really nice, for only what? You've only been here. What two days.

Speaker 2:

Yeah, two days.

Speaker 1:

It looks fantastic, it looks better than most people after a month, I think.

Speaker 2:

Well, I've been putting my daughter to work building furniture for me, and she's done a great job.

Speaker 1:

Just confess to child labor directly into the microphone.

Speaker 2:

No, we talked about this. She accused me of child labor earlier and I'm saying that's only if it's not my child.

Speaker 1:

If I make a different child labor and you're not paying, if it's my child.

Speaker 2:

it's just called chores, that's true.

Speaker 1:

It's easy.

Speaker 2:

And she goes well, what if I get one of my friends to help me do the work that you assigned me? And I'm like well then, that sounds like you're guilty.

Speaker 1:

You're guilty of child labor. You're doing child labor in a Tom Sawyer kind of way.

Speaker 2:

Yeah, oh, painting is fence. You think you got you me, but I got you back.

Speaker 1:

So, scott, yeah, it's no mystery to anyone listening or anyone who knows you for even a minute that you like movies, what you like movies.

Speaker 2:

Don't, oh don't. I like movies, I like movies too. I do like movies. Yes, what?

Speaker 1:

is it about movies? Do you think if it was like the 1800s you would just love the opera. You know, I think so.

Speaker 2:

I think I like story. I mean before movies or not before movies, but also it's been comic books and regular books. I like story. I like stories and so opera would be. I mean, I think humans are hardwired for storytelling and so I would have been into whatever formula. You know. I would have been into the Dickinson period, serialized, like in the newspaper novels, piece by piece. I would have been into whatever I could get.

Speaker 1:

Yeah, yeah, yeah. Do you buy into the kind of, like you know, archetypes, like stories are? You know, there's these.

Speaker 2:

The Joseph Conrad's Do you kind of like that?

Speaker 1:

Heroes journey, yeah, is there a sort of? I think there's, yeah, or is it more dynamic than?

Speaker 2:

that Watching I mean the standard, like there are definitely Exceptions to every rule and stories that don't follow the rules that are wonderful and work well. But you know, like if you're writing something, following those rules is a good structure, Having like a three act structure or you know, the rising action, falling action, like the anatomy of a story thing is. I think it's a good starting point to write stuff on. Yeah, but you don't have to like if you're writing goes a different way, that's fine.

Speaker 2:

I think I've seen weird movies that I love and I've read weird books that I love. That don't follow that.

Speaker 1:

That don't follow. That, like District 9, the hero is like a total anti hero. He's like a total loser.

Speaker 2:

Right, yeah, it's like a very different story.

Speaker 1:

It's been a while since I've seen them. Oh yeah that I always think of that one as like a really different, Because most stories it's like the hero is this admirable sort of guy, but the main character of District 9 is just.

Speaker 2:

Real despicable. He's not despicable.

Speaker 1:

But he's just a real limp, you know limp loser kind of guy who can't get his life together, can't get the girl, can't do anything. But then he kind of transforms into an alien.

Speaker 2:

I should rewatch that. That's been. It's been a while. That's a Shalton Copely I think is the main actor.

Speaker 1:

Yeah, so they're freaking.

Speaker 2:

Yeah, he's good. And the who's that director, the guy who Don't know? We'd have to look it up. It was then he did Chappy and then he was. Yeah, chappy, he was on tap for an alien thing, but I can't remember his name.

Speaker 1:

Neil blog camp. There it is, neil blog camp, neil Blom Blom camp.

Speaker 2:

Blom camp? Yeah, something like that.

Speaker 1:

So the reason why I bring up movies is because I have it's not only movies, it's really like all, all ratings. You could use this for food. You could read this is used for anything, but we don't. Okay. Should I tell you the solution?

Speaker 2:

You're like, all right, I use my thumbs, okay, and if it's good, I point them up.

Speaker 1:

But if it's bad, yeah, I point them down.

Speaker 2:

And if it's in the middle, I part them in the middle and I'm like whoa, okay, okay, this is how you hang on to your seats, because this is gonna. No, what is your word? What is your new rating system?

Speaker 1:

Okay, it's not a new rating system, but it's used in another environment, but it should be used more broadly. So in the world of marketing, product design, product marketing. So if you're like a product marketing guy or girl, in like a tech company, you will use a thing called Net Promoter Score, NPS.

Speaker 2:

Net Promoter Score. Net Promoter Score All right.

Speaker 1:

And I believe I learned about this. How good you are at promoting things on the net. Are you good at promoting on the net or not? Dude, you know, bob, his NPS is off the charts. He can promote things on the net, so well, pre-online it was the paper promoter score.

Speaker 1:

Yeah, pps yeah, now it's NPS. Yeah, so it's very common. Anyone who's done anything with products or tech or marketing, they know this word Net Promoter Score. Okay, what I'm saying is that we should use it for especially, I think, for movies, but I think we should also use it for restaurants and pretty much anywhere where you'd see like a five star review. We should replace that with an NPS score and that would give us way, way, way, way, way, way more information about how good it was, and it would be a stiffer, harder bar to get over, okay, and that, I think, is good, because then it leaves room at the top for the absolute greatest.

Speaker 2:

All right well, I got to find out what this is, but can I rant on the five star?

Speaker 1:

system for a second. Yes, because there are like Negative rant, I hope.

Speaker 2:

Like something out of 10 and they're like no, I like a five star system, they're like but you can give people half stars, so I'm like it's the exact same thing.

Speaker 1:

That's the same thing as a scale one to 10.

Speaker 2:

Yeah, or now it's like 4.873 stars. So I'm like why don't we just make that a percentage? Yeah, why are we playing with this? 4.89 out of five or whatever.

Speaker 1:

Yeah, it's because you only have five fingers on one hand. I have two hands, though, and take off your shoes, you got 20. You want one?

Speaker 2:

I don't have 20. You want a 20? I would never take off my shoes. I refuse.

Speaker 1:

How dare you? I'm with you. Yeah, and we'll get into actually how you can generate the net promoter score out of existing five star reviews.

Speaker 2:

OK, so you can actually generate the NPS. What is this NPS?

Speaker 1:

And I've done it for a few movies that I've prepared to talk about?

Speaker 2:

I mean, the only NPS I know is Neil Patrick-Sarris, but what is the NPS you're talking about? That's what I'm talking about.

Speaker 1:

The Neil Patrick-Sarris score NPSS.

Speaker 2:

I was so happy when I thought of that. I couldn't wait to get it out. So stupid.

Speaker 1:

Yeah, NBS MBS, the murderous Arabic leader. Oh oh yeah, who killed Khashoggi?

Speaker 2:

Bin Salman, yeah, mohammed Bin Salman, yeah, there you go.

Speaker 1:

So we get an NBS score.

Speaker 2:

Cool, let's make that let's make that guy an enemy. How many journalists have you murdered? Why don't we name drop some podcasts, yeah?

Speaker 1:

More murderers. What other murders should we include on the podcast?

Speaker 2:

People who have successfully silenced other journalists.

Speaker 1:

Yeah, slobodan Milozovic, yeah, can we just add ourselves to your list of bad names please yeah.

Speaker 2:

Yeah, got any room there on your slot. That's your only.

Speaker 1:

Or John Oliver just did an episode on McKinsey where he revealed that McKinsey at one point actually did a report for MBS.

Speaker 2:

Now McKinsey was the guy who was telling people how gay they were or not. Right On his scale he's like one to six.

Speaker 1:

I'm talking about the consulting company. What are you talking?

Speaker 2:

about? What are you talking?

Speaker 1:

about.

Speaker 2:

Dr Kinsey the.

Speaker 1:

Kinsey scale. Oh okay, Is it a gay scale? Yeah, it's like gay you are.

Speaker 2:

Yeah, it's like how between like one is like completely straight and six is like completely gay, or the other way around Is his first name. Chad, is he? No, there was like a whole movie with Liam Neeson.

Speaker 1:

Oh right, but he just did sex in general.

Speaker 2:

Yeah, I think so.

Speaker 1:

But then he also had a homosexuality thing.

Speaker 2:

Well, he had like a thing.

Speaker 1:

He's like no, but he's a perfect one or a perfect six, everybody's like a bit of you know, like somewhere on this scale, McKinsey scale, McKinsey scale.

Speaker 2:

Sorry, people say that it was a dumb joke. Go ahead. What is?

Speaker 1:

McKinsey, Anyways, McKinsey. John Oliver revealed that McKinsey did a report where they actually pulled social media people who had criticized MBS and gave it to MBS. It was like really bad.

Speaker 2:

Yeah.

Speaker 1:

It was really bad, really unethical, clearly an unethical thing to do.

Speaker 2:

Wait, John Oliver did the unethical thing.

Speaker 1:

No, no, no, he reported that McKinsey had done that, gotcha, and maybe we'll be like on that list now because we just criticized MBS.

Speaker 2:

It feels like the only thing more dangerous than being the enemy of, like, a very wealthy, murderous person is like being their friend because at some point it's gonna go wrong. And then you're gonna be. You're gonna shift from friend number one to enemy number one, Like you're gonna bump everyone else on that list down.

Speaker 1:

It's a fast move, right, you? All you have to do is say one the wrong thing.

Speaker 2:

We are definitely not. I mean, even if we're on that list, we are so far down. Yeah, exactly, I feel kind of safe in that I'll be seeing other podcasters get murdered, first Right, and then we'll have some fair warning Canary, the coal mine.

Speaker 1:

Yeah, yeah, yeah, yeah, some fair warning.

Speaker 2:

And then you have a MBS friend and then all of a sudden it's like oh, dude, you messed up my shoes. Boom, now you're number one enemy.

Speaker 1:

You're right, it's like a knife's edge.

Speaker 2:

Don't, don't, it's a bone saws edge right there with.

Speaker 1:

MBS.

Speaker 2:

Be careful out there if you're, you know, super, super good friends with really powerful dangerous people yeah careful.

Speaker 1:

This is a good solution.

Speaker 2:

That's my solution. This is the solution.

Speaker 1:

Don't, don't, yeah, bring them like pasta, you know, bring them stuff like clams.

Speaker 2:

Bring the pasta.

Speaker 1:

Clams Exactly.

Speaker 2:

Clams and pasta Like. Are clams halal? Who doesn't like clams? I don't think any seafood is halal.

Speaker 1:

Seafood or crustaceans here I think are halal, are haram. I don't think you're allowed to eat them. I don't think so. Don't bring clams to mom. Don't bring clams to mom.

Speaker 2:

How are you whispering that? That's just you should be shouting that Don't bring them.

Speaker 1:

Okay, so NPS, sorry.

Speaker 2:

Yeah, what are we doing, Tell me, I don't even know how to make this, yeah.

Speaker 1:

I'm supposed to start with the solution. I still haven't said it yet. Okay, so well. The solution is we should apply NPS to ratings of restaurants and movies and everything, but especially movies. We can talk about movies more, I think. Okay, I think there's other things to be said about movies, but what is it? Okay? So the way NPS works is you ask people out of zero to 10, which is the same as, like you said, same as zero to five, with half steps. So you can, you know, but whatever, zero to 10, how likely are you to recommend this to your friends, family, colleagues, contacts? Okay, and so you can do it with any product you know. You can be like you just downloaded the Lyft app or whatever. How likely are you to recommend the Lyft app to other friends, family and colleagues? Okay, 10, nine. You know all the way down to zero, right? Okay? So then that scale breaks up into three categories the promoters nine and 10. Neutrals seven and eight.

Speaker 1:

Passives neutrals seven and eight detractors, six and below.

Speaker 2:

And the one metric is how likely are you to recommend it to your mutuals, To your friends, family, colleagues? Yeah, people, yeah.

Speaker 1:

That's your one question. You've probably encountered this where they ask you, like that, just one question in an email, or they'll ask you three questions, but that's the one. That's the question they actually care about. They don't care about the other one. Okay, they just marketers really care about this. Nps question.

Speaker 2:

How likely are?

Speaker 1:

you to recommend. So if you apply this to things, okay, now I have the power.

Speaker 2:

Yes, when they ask me that question, I'll be like zero. Wouldn't you like to know? Yeah, right, until. What are you gonna do for me? Yeah, to get my answer. Hello, they will want you. Now that I know that, this is what you want.

Speaker 1:

That's exactly what they want. So the way it works is a little bit of math afterwards, so what it's called the net promoter score. So what it is is the number of promoters, the percentage of respondents who are promoters minus the percentage of responders who are detractors. Gotcha. So passives are don't matter. So, for example, if a hundred people respond and they all respond seven or eight except for one, and it responds positive promoter than the net promoter's code be one.

Speaker 2:

So, for every yes, yes, absolutely, you can cancel it out with a no, no way, yes, and then-.

Speaker 1:

And the passives just take away from both.

Speaker 2:

You have to have enough votes on the yes, absolutely yeah.

Speaker 1:

So it goes from negative 100,. 100% of respondents respond as detractors to positive 100,. 100% of respondents respond nine or 10. And then anywhere in between. It's an extremely difficult scale. So generally people believe that anything above a 70 is absolute world class, like it's almost impossible to get an NPS above 70. That is like you are. That is like batting you know 500 or something. Like you are way off the charts.

Speaker 2:

good, batting 700, right or whatever good batting averages yeah, we do a batting average and other that's out of a thousand.

Speaker 1:

Out of a thousand.

Speaker 2:

yeah, it's just, but it's the same.

Speaker 1:

Yeah, based 10. Right, so that's a good. So that's, it is like batting averages. So then, but then even above zero is good, like if you're above zero, that's okay. Negative is bad, and really negative is really bad. You got a problem. So it gives you this huge scale of negative 100, really bad to total stinkers all the way up to 100. Like God parted the clouds and put this on earth, whatever it is, you know, just amazing.

Speaker 2:

How many people do you need to formulate an NPS?

Speaker 1:

Is it, like you know, like a statistic, 10 or?

Speaker 2:

are you looking to 100 or 1000, or just however many you can?

Speaker 1:

get. I mean, if it's a blockbuster film, you need at least a few thousand to get a you know, it's just a statistical relevance. You need. What is it called? Isn't it called statistical?

Speaker 2:

relevance, but you have to get that many people like watch the movie.

Speaker 1:

Yeah, then, if you have like an app that you have like, maybe you're going to have 10,000 users, then you only probably need 200 to give you and then you'll know Gotcha, you know, you just need the whatever the statistical relevant, or maybe.

Speaker 2:

I mean like somehow this is how they do it with, like rotten tomatoes, where they're like we'll get as many good ones as we can get, and then we're going to be like good, stop, stop, don't get anymore. Oh, okay, lock it at 100%. It's 100% right now. Yeah, see, that's stupid, whatever.

Speaker 1:

But that's the problem. Okay, so this is the problem. The problem is we don't review movies properly.

Speaker 2:

No, I think no, definitely not.

Speaker 1:

They're way inflated High. Everything is like a 90 on everything you know.

Speaker 2:

Well, the rotten tomato score has a problem on its own, because it just means people, that percentage of critics or that percentage of users go. Yeah, that's good as opposed to no, that was bad. And they're like if 100% of the people go yeah, that's good that it must be 100%.

Speaker 2:

Yeah, and you take that going like, oh it's, everyone rates it 100% of the best movie ever. It doesn't mean that it just means it appeals, mass appeal to everyone. Go, yeah, it's good, but it could just be like moderately good, whereas another movie that you would find to be like amazing, maybe it doesn't connect with everyone and they get a lower score in rotten tomatoes. That's why rotten tomatoes feels like a weird metric.

Speaker 1:

Yeah, Rotten Tomatoes also has, because it's like a critic metric it has all these like weird inside baseball. I'll just come out and say it. It's like very politically correct, like if a film comes out that's about like minorities and stuff, then it's like off the chart 100%.

Speaker 2:

Like minority report.

Speaker 1:

Yeah, that was about minorities. Technically speaking, it's kind of heavy. Not that I have anything against like stories about, I don't but the problem is it's clearly like weighed more heavily in favor of sort of culturally leading ideas.

Speaker 2:

Are you accusing it of rotten tomatoes being woke? It's woke.

Speaker 1:

I'm going on the charts and rotten tomatoes is woke.

Speaker 2:

We are making enemies. Rotten tomatoes has gone woke.

Speaker 1:

Oh no, it's not good, but I mean, I don't really care necessarily as long as people's bias. There's a bunch of biases, negative and positive, so against and for all kinds of different things. The point is to have a system that eliminates all those biases or works all those biases out.

Speaker 2:

Like that PC or the woke bias or whatever it kind of fires up as a response to this crazy, toxic other, like the other version that comes out Like a bias against progressive stories. The movie the Marvels just came out and it is like there are corners of the internet on Twitter anyway that are just like convinced it's going to be the worst. This is pre ever it showing up and anyone seeing it. They're like worst movie. It's all based on hogwash, this nonsense.

Speaker 1:

Like I'm like you decided you're gonna hate this.

Speaker 2:

They're like cause it's all women and this thing and that thing and girl power and they're like, I'm like man, you can enjoy stuff, it's okay.

Speaker 1:

By the way I went and saw it. It's about their own man, it's about the way it went. It's great, I had a great time. Okay, great, great. So here's. So NPS fixes all of this. Nps.

Speaker 2:

Yes.

Speaker 1:

And that's why it fixed wokeness. You could still have that bias, but I think it the way you pose the question. Would you recommend this to your mutuals, to other people? And then your scoring. The scoring is really interesting Cause, like if you say, seven or eight out of 10 customer satisfaction, that's pretty high. But NPS, it's neutral, it's nothing, it's a zero.

Speaker 2:

Here's the other.

Speaker 1:

And I say NPS, and you can omit as much work as you wanna do All that stuff. So that's my answer there.

Speaker 2:

So if you kinda like succeed on your fill, that's the best one. However, you're into new things. You never seem to�大的, or your choices will become Type-C. You don't even notice them Onに out, you don't know what you're 말�ous, so you're just told. You know how good they are in ticking, what kind of play piece do you play so to say ahí y fazer y charity, you kind of like you eat it a little bit.

Speaker 2:

So it's a different bar where it could be like. I mean, I liked it, but I'm not gonna recommend it to my friends. All it up, exactly exactly Like that sort of thing.

Speaker 1:

Yeah, you might say, well, I liked it, but actually I wouldn't recommend it.

Speaker 2:

It puts your skin in the game. I didn't even have an eight out of 10.

Speaker 1:

I would recommend it. That's still a zero. So this is a really really what it does, is it really really rewards the absolute best movies and then it doesn't, which I think is accurate, because that's the way we think about our movies. Like we think in our minds every day about the best movies we've ever seen, but we totally forget the mediocre movies we've seen. We don't think about those every day. And the bad movies we also don't think about.

Speaker 2:

Movies used to have the ability to come out and find an audience via word of mouth and get legs and then go. You know what I mean. Like you get a movie that comes out like my big fat Greek wedding and like people start talking to each other about it and all of a sudden it's in theaters for like six months. You know what I mean. Like just continuously. That doesn't happen now, you don't get a chance.

Speaker 2:

You have to hit the ground running with your debut, and if you're a smash you can keep going, but you don't. If you're not, they don't let you build anymore. If you're not making money in the theater, they're like boom, you're out in a few weeks and you don't have a chance to find that. That now happens on streaming or on like video, like that's how people do word of mouth and it's there long enough that things can become a phenomenon that didn't start out as one People.

Speaker 2:

things can find their audience there, but they don't have a chance in the theaters anymore, really.

Speaker 1:

Okay, so someone on Reddit so I Googled all about this and no one has really applied this to movies, except for one. Guy on Reddit Did a survey for all the Star Wars movies ever made and he did the NPS score and he got over 500 responses on each movie.

Speaker 2:

That seems like a good community to get them to like.

Speaker 1:

fill out responses and try to accumulate data, Okay so how many of the nine movies or how many movies are there one?

Speaker 2:

two, three, nine, 10?. Are we counting Rogue One? Rogue One's in there. Are we counting?

Speaker 1:

Solo Solo's in there.

Speaker 2:

That's 11 then.

Speaker 1:

So is Clone Wars and the Attack of the Clones.

Speaker 2:

Those aren't. Those are TV shows. The Clone.

Speaker 1:

Wars is a movie. Attack of the Clone is a TV show. The Clone Wars is a movie. It says the Clone Wars movie, I don't know. Okay, so out of these 10, how many you think are positive above zero? I'm gonna say four, close five, but Rogue One was only six. Rogue One's on the edge, what do you mean?

Speaker 2:

six, out of 100?

Speaker 1:

Out of negative 100, 200, out of 200.

Speaker 2:

I mean between 100 to negative 100. It's six, Six. Okay, Rogue One's one of the better ones.

Speaker 1:

Revenge of the Sith Nine, return of the Jedi 26,. Star Wars A New Hope 56. And Empire Strikes Back got an 81.

Speaker 2:

Well, everyone. So Empire Strikes Back. Is they love that one?

Speaker 1:

Is a God level. People love Yoda. Yeah right, people love Yoda, that's what Italians say they love Yoda. Okay, so all rest negative. Last Jedi negative 23. The Force Awakens negative 29. Solo negative 45. Phantom man is negative 51.

Speaker 2:

Wait, wait roll those the bottom five. I was thinking of Italian.

Speaker 1:

The last Jedi.

Speaker 2:

The last Jedi. The last Jedi, 900 years older, you'll reach. Look at this, you're not.

Speaker 1:

No, no, no, smacks you with a pan Dang.

Speaker 2:

Tell you you're rolling pin.

Speaker 1:

Making pasta and in Dagobah Skaboots. Welcome to Dagobah. It sounds kind of Italian. I'm a, anyways, so yeah, so the last Jedi, negative 23.

Speaker 2:

The Force Awakens the last Jedi. Negative 29.

Speaker 1:

Solo negative 45. Phantom man is negative 51. Rise of Skywalker negative 61. Wow, rise at the bottom. But these are Reddit, okay, so I have a way.

Speaker 2:

First of all, that rise had some moments, but boy did it go off a cliff.

Speaker 1:

So I have a way of doing this better though, so Reddit is gonna have a certain slant, obviously.

Speaker 2:

And that's gonna be kind of a self-biased group of people who are already Star Wars fans.

Speaker 1:

Yeah, and they're gonna be, you know, og Star Wars fans, not just like objective. Okay, so let's do.

Speaker 2:

I started at Phantom Menace. Refuse to watch the others.

Speaker 1:

Okay, so I can calculate the NPS for any movie using IMDb, Because if you go into IMDb you can actually tap on the ratings. Rogue One has 67,000 ratings and they're all one out of 10. So you can calculate the NPS.

Speaker 2:

They're very easily, just by looking at it, 10 and nine, yep 10 and nine, then eight and seven, and then you know like grouping them together, like you're saying so you can see on IMD what are the groups again 10 and nine 10 and nine are the promoters, seven and eight are neutral or passive, and then six and below is detractors.

Speaker 1:

So you add up all the six and you can add up all the six and below those detractors, which it looks like is about 80,000. And then you add up the nines and tens, which is about 220,000. And then seven and eights, the majority is like 330,000. So about basically about 50% are passive. So it's between the other 50 is positive and negative and it's about 40% positive and about 10% negative. So it's about 30.

Speaker 2:

And.

Speaker 1:

IMDb Rogue One is a 30.

Speaker 2:

Still really high. I don't wanna tell you your business, but you could write a program that like yeah, I know, Ask the API and then turns it into an NPS score for any movie I know and then you would actually know.

Speaker 1:

So I think, when you look at this distribution and you think with the lens of NPS, I think that gives you the most accurate measurement of this is a good movie or not? Is it a good movie or not? You know what Rogue One is. It is a 30. It's exactly a 30 out of two, from negative 100 to 100. It's not an 80. It's not a Empire Strikes Back, which you can find the same thing on this. Rogue One's great.

Speaker 2:

It just leaves you hollow and soulless yeah.

Speaker 1:

So if you do, Empire Strikes Back and you do the same thing it's got 1.4 million reviews and it's like almost there's almost no detractors.

Speaker 2:

It's almost all. No one's coming to the IMDb page for Empire Strikes. Back to be like I thought it was a one.

Speaker 1:

Yeah, well, it looks like 19,000 people said one, so that's a lose Lightsabers in snow.

Speaker 2:

No, thank you, oh this.

Speaker 1:

Yeah.

Speaker 2:

I like my lightsaber is warm, so yeah, so MPS can be derived from what's that? Creature that he like climbed inside of oh Stomach and I thought they smelled bad on the outside. The people who are like conservationists, for that they're like. I do not like watching that get killed.

Speaker 1:

You can slice this belly. Yeah, I think they're called Tantans, tantans.

Speaker 2:

There you go.

Speaker 1:

So you even know some sci-fi? I know some sci-fi. You told me that was not sci-fi that was a space opera.

Speaker 2:

It's not. I called it sci-fi. You said, no, it's sci-fi.

Speaker 1:

Look at you I was just being a turd Hypocrite out of nowhere.

Speaker 2:

I was being a hypocrite turd, turdocrite, turdocrite. So I thought so that helps me out, because there was one area I thought this might fall apart, which is, you know, being able to translate the star ratings into it. That works good, because it'll let people be honest without having to be like forthright, because if someone's calling you on the phone would you recommend this to or filling it out. That falls apart when it comes to like adult content, where you're like I would not recommend. I don't want to tell my mutuals what adult content consumption.

Speaker 1:

They'll have stars and stuff. I'm sure as long as you do the half star you can determine the MPF Boom. So it's basically like the con we could converse all or even. You don't even have to.

Speaker 2:

Because the two chunks, I mean 10, 9, 8, 7, and then 6 and below, that's five stars, four stars, and then 3, 2, and 1. I mean, you're absolutely right, it translates to 10. You don't even have to have a 10. You need to do stars. It works with five.

Speaker 1:

Oh, my God.

Speaker 2:

Dude, nice math skills, uber. Thank you, dang, thank you.

Speaker 1:

Yeah, you could do it with Uber, you could do it with Airbnb, you could do it with anything. Yelp. See, that's the thing. We really need it for restaurants. Restaurants have a bunch of other problems, but this would be a baseline A baseline thing would be the NPS, because right now if you look on Yelp, everything is like between four and five stars. I mean it all just resolves to basically four to five stars.

Speaker 2:

Well, doesn't it just only show you that stuff? It's not trying to show you, it's not like. Look at this one.

Speaker 1:

This place is 1.3.

Speaker 2:

You want to laugh at that or you want to check it out. Nope, yelp is trying to serve you stuff it thinks you're going to want. It's not trying to point and laugh at it anywhere.

Speaker 1:

That's true, but if you converted to NPS, there would be a range between four and five stars would be between 10 and 100.

Speaker 2:

Yeah. Huge range which is awesome, which would give you more information than just like More information 4.2 stars yeah, they're all 4.3.

Speaker 1:

All 4.2. Yeah, it would give you this huge range of like, oh, and restaurants would be like oh, we got a 30. We got to get to like 35. But that leaves 65 extra points where you could fill up. If you got, yelp has the additional problem that you have these. I think there should be a. They should break it apart into two scores. What do you mean? Food and ambience. Food and ambience Okay. It should be split in two. The fact that it's not split is insane.

Speaker 2:

Because some people will go on there and trash a place.

Speaker 1:

They're like food is fine, but Ambience was terrible, and then the way that it was treated me.

Speaker 2:

It's such a beautiful space, you know, or the beautiful Food is whatever. Yeah, yeah.

Speaker 1:

And if you're doing like a brunch for your, for your, for your aunt, maybe you don't care if the food's good, you want the ambience to be really nice. But if you're going to go and just like fill your face with food and you don't care if the waiters are like cursing at you, you know, then that's fine too. You know what I mean. You could, you could pick, but in Yelp they just blumped those two together and it's clearly idiotic, like it's clearly not a right choice.

Speaker 2:

Although I mean, if you have a nice ambience spot, get your food right, right. I mean like if people are coming there to sit in your room. At least give them some good stuff to throw in their face To gnaw shit.

Speaker 1:

Yeah, I mean, that's what I. I mean. To me, food is way more important than ambience. Yes, I don't care about ambience at all.

Speaker 2:

Give me a hole in the wall that serves me the most amazing thing. And I'll go there every day. I mean, the best ramen I would ever have would be from like weird trucks in Japan in the middle of the night, you know just like you stop it. And there's some lady in there who's like serving her a million year old ramen recipe and you're like this rules is so good. That's awesome. Yeah, well, I like it in PS. I can. I can go with that. Yeah, mps.

Speaker 1:

I can score.

Speaker 2:

There is a software opportunity here. You can really I mean because there's so much data available and I think IMDb has an open API.

Speaker 1:

Yeah.

Speaker 2:

And they. You can just like ping that. I don't know if they have limits on how many. There's a lot of movies out there.

Speaker 1:

You don't need to calculate it once, but IMDb covers and then you could save it. Yeah.

Speaker 2:

It covers, but it could keep updating if it?

Speaker 1:

Yeah, it could keep.

Speaker 2:

It covers TV shows and all that stuff. Yeah, yeah, because I originally thought That'd be interesting if you would find, because sometimes you look at the rating and you're like what is this? Like you watch something and you still get the rating. You're like, oh, where did that?

Speaker 1:

come from yeah.

Speaker 2:

But maybe I wonder if you would see more correlations with an NPS score where you're like, oh okay, now this I can kind of lock in on this.

Speaker 1:

Here, pick a few movies and I'll look them up and we'll talk about what their NPS is.

Speaker 2:

Okay.

Speaker 1:

Well, I think, because I think one thing that's cool about it is that it for for movies that people are like, yeah, that was okay, it would be like a zero, yeah. So, for example, we argued about Barbie being good or bad. We did yeah. Wait, did you say it was bad? I didn't see it, it's good.

Speaker 2:

Okay, but here's the thing it's a controversial movie right. Is it?

Speaker 1:

Yeah, it's controversial, but where?

Speaker 2:

there's bad Only with dumb times.

Speaker 1:

A bunch of people thought it was bad. A bunch of people thought it was good. Okay, but guess what? Let me guess when they uh sour postman.

Speaker 2:

Guess what, guess what.

Speaker 1:

It's NPS would be almost a zero, probably a little, almost negative, a little negative.

Speaker 2:

All right. Well then that's flawed because it's look at that bar on the ones.

Speaker 1:

Look at all those haters, a bunch of haters. There was haters for Barbie, so what?

Speaker 2:

you tell me those are real. Those are not. Those are like hate ratings.

Speaker 1:

I mean, okay, there's no parent buddy who watches that movie People can hate movies.

Speaker 2:

No, I'm saying, but you watch it and you go. That's a one out of 10.

Speaker 1:

The question is would you like? It's a well made. The question is how likely would they be?

Speaker 2:

to recommend it to their mutuals.

Speaker 1:

Yeah, they wouldn't.

Speaker 2:

they're 0% likely to recommend they're sour posity. It's just saying Full of sour friends, it doesn't matter.

Speaker 1:

You can't lie, it doesn't lie, the data doesn't lie.

Speaker 2:

It's just a professional movie filmed with like top, top level.

Speaker 1:

yeah, hold on, but they're talking about whether it would recommend they recommend for a one for a one on a scale one to 10.

Speaker 2:

On that IMDb I'm going to see a movie that's technically and like just every level, bad Okay.

Speaker 1:

In terms of IMDb, but in terms of NPS it works perfectly, because NPS is not whether it's a good well made or blah, blah, blah.

Speaker 2:

It's just how likely are you? Nps gives Barbie a zero. That's ridiculous.

Speaker 1:

Is it like almost a?

Speaker 2:

zero or something around a zero, because it's a lot of eights and sevens.

Speaker 1:

No, no, no. Even if you took that down to like, even if you lined up the twos and the ones it would still be close to zero, because very few people, not very few, but like less than 10%, I don't like this game. Or 14% gave it 10. 10% gave it nine. All right, let's look up, but 45% gave it eight and seven. So most people thought yeah, yeah, that's good, but not it's awesome.

Speaker 2:

It's amazing, all right, so I want to look up the last one that I can think of that was like a hit like a word-of-mouth hit that just kind of grew and grew. Look up the greatest showman for me. Okay, Because that was one that just stayed in theaters and made Bank weekend. It was never like a number one.

Speaker 1:

Okay, but it was always like it averaged 7.5. Okay, so, right between, right between those two, but it would be way positive.

Speaker 2:

Look at that distribution. People love that thing.

Speaker 1:

It's way up. I mean still eight is still the number one. Yeah but ten is the next, two is the next one.

Speaker 2:

Yeah, that would be 22 percent. That would have a high NPS score. This would have a 30. This is that. Had a huge word of it.

Speaker 1:

Like people, it's so easy to calculate 37.5 percent promoter, and it's something like 15 percent to motor, so it'd be like a 30.

Speaker 2:

Yeah, very or a 25.

Speaker 1:

Yeah, yeah, cool, yeah. So this is great, perfect for movies, again, for knit, for Yelp, I think, as long if you split, if you split Ambience and food, and then you didn't NPS.

Speaker 2:

I do the. That would be perfect, uh-huh.

Speaker 1:

That's it. That makes sense for books. It works great. Would you recommend this books? Zero to ten.

Speaker 2:

I mean, you could do that with movies. Be like did you like it versus was it a competently made movie?

Speaker 1:

Yeah, sometimes you know.

Speaker 2:

I'm like you cannot give a movie a one if you're like this thing was built like a machine and it works.

Speaker 1:

We really it works on your and you're totally right from like a if you were like in a film school and you were like Assess if this film was made right well they'd all be sevens and eights. I mean, they're all Hollywood professionally made films. You?

Speaker 2:

know, I know a guy who will listen to a perfectly engineered piece of pop music like mbop by Hanson and say that's bad. And I'm like, are you kidding me? It's, but it's. Are you talking about me right now? It's created in a lab to be good, it can't but the point.

Speaker 1:

The question is whether you would recommend it or not? Yes I would not recommend mbop to anyone.

Speaker 2:

Well then, I don't recommend you to anyone.

Speaker 1:

Well maybe if I met like a real bimbo oh, a guy or a girl who was a real bimbo I'd be like you know what? Here's a good song You're gonna love is there called a bimbo. A bimbo Please please use the right word. That's right, come on.

Speaker 2:

All right, nps, I like it so how do? We get it to happen. We just tell people about it software, about it, make it software. So I have a crow.

Speaker 1:

I have like a Firefox like browser plug-in that when I land on Netflix it adds the IMDB Rating of everything on the screen to the bottom right hand corner.

Speaker 2:

So it's there but that's IMDB. So we have to create a new one for NPS. You, you should make a site that's called the NPS of everything and it's got like a section that's IMDB, a section that pulls from Yelp, a section that pulls from Amazon. Amazon next door, whatever whatever open APIs are letting you ping them you know and translate their thing into an NPS. You can just have NPS of everything, that's right. So I looked up.

Speaker 1:

I looked up a few of these APIs because I'm a software engineer. I did look up a little bit of this and it turns out some of them, most of them, will just tell you what the score is. They won't tell you the full percentage breakdown of every review. Okay, even the IMDB API I don't think gives you that. You'd have to actually scrape that page of every single you'd have to go. Okay, you'd have to go and actually scrape the HTML, because they're on the HTML but it's not in the API.

Speaker 2:

Okay, the API just tells you here's the score. There's the same point to out of ten.

Speaker 1:

Yeah and so you would have to. You would have to scrape a little bit, but you could scrape pretty easily.

Speaker 2:

All these sites aren't gonna change just write a thing that says click into the one level deeper. Yeah.

Speaker 1:

I'm just grab the site's name or whatever, because the API will have a link to the page.

Speaker 2:

Yeah and then you can tell it where on the page to find the thing to go one level deep.

Speaker 1:

Yeah, I can, you could totally do it.

Speaker 2:

Listen to me, the person who doesn't write code being like yes, so easy.

Speaker 1:

So no, no, you're right code. You know what's up? Yeah, that's right, so you could. So that would be a good way to get it out there is to build like a like a Metacritic type website. Yeah, you just pull all the MPs is from every MPs of everything. I'd be good yeah.

Speaker 2:

I like it. All right, let's get building. I also think that there's any listeners out there. Do not take this idea. We patented we this is making a podcast is the same as writing it on a piece of paper and mailing it to yourself. It's exactly the same.

Speaker 1:

We want to get you, we will get you.

Speaker 2:

With the full might and power of the pot.

Speaker 1:

Actually, actually I'd prefer people did could steal this.

Speaker 2:

Yeah, that's what we usually.

Speaker 1:

I don't have time to do it and it would be, I think would be good for civilization. I think all right art is going downhill new announcement You're allowed to steal. Yeah, go ahead. I believe that we're in a dark age. What I Honestly think we're in a dark age? Low creativity, low innovation, low quality of art. Yeah, I'll prove it to you.

Speaker 2:

When shakes okay.

Speaker 1:

I'll prove it to you. When Shakespeare was alive, yeah, there were only like a few hundred thousand people who are literate in English.

Speaker 2:

Yeah, but he had no tiktok followers, so it's a pretty good argument.

Speaker 1:

I think, I think that's a pretty good argument to say that we're in a dark age, because we have Almost a billion people literate in English and easily hundreds of millions phenomenally literate, with enormous resources at their hands to to create art and to create books and write and writing. There's a whole industry of storytellers, netflix and movies and Hollywood, everywhere, it's everything and there we have whole people whose whole jobs are writers.

Speaker 1:

They just went on strike. They all get paid bull salaries to work all day long to write things, and Shakespeare is still the best. You know, it's bizarre. It would mean if there was really, if there was really who he warned and he had range too.

Speaker 2:

He was like. He was like here's my, here's my really deep sonnet and then, like you know, a scene later we're gonna have somebody like grabbing their crotch and like going Making fun of someone else and walking around, was that?

Speaker 1:

in the play. Did he write it as a direction?

Speaker 2:

I think so. Grab the crotch, grab a thigh. No, and crotch is, I know there's. He's got loot stuff all over. He's got tons of loot stuff.

Speaker 1:

Yeah, for the groundlings Right, the improv troupe. Well, they're called that because of Shakespeare's time.

Speaker 2:

There's the real what. What's that based on in the globe theater.

Speaker 1:

There's the boxes, and then there were the seats, and they were the no seats, the groundlings.

Speaker 2:

That's where that comes from.

Speaker 1:

I didn't know that the lowest humor was directed towards.

Speaker 2:

I don't know. Okay, now do upright citizens forget where that come from?

Speaker 1:

that came from a bunch of white people hanging out with their cameras.

Speaker 2:

I.

Speaker 1:

Actually really love them, they're fun yeah, why? People you know. Also good, you know the whitest people. You know. I don't think.

Speaker 2:

I saw it's probably on sketch, it's probably a cable cable thing and I didn't have access. Yeah, yeah, way to bring that up again.

Speaker 1:

I didn't want to go on YouTube. I'll send it. I don't have time for that.

Speaker 2:

I have to unpack boxes. That's true bill like here for. I don't even have a computer set up. Right now I can't access YouTube. You're taunting me. Oh, just like the thing in Star Wars, tantan the tauntaun the tauntaun.

Speaker 1:

Anyways, I think it's cool. I think we should make NPS like the standard and be awesome. I think it would save civilization. All right, yeah, let's do it save civilization.

Speaker 2:

Why? Not do it. You, everyone listening to this. He's not doing it. You're dooming civilization, so you're doing a job, pat yourself on the back, but stick. Stick around for another week and we'll see you next time, because we'll be back. Yep, so it goes.

Speaker 1:

Thanks everybody, bye. Rate us 10 out of 10 give us an NPS rating on. Apple oh, you can do podcasts. We got to get a 10. We have a hundred right now because I think we have all five stars. We're the. We're the ones out there rating ourselves. So everybody, come and rate us again. Give us five stars will convert it into yes, that'd be great.

Speaker 2:

Yeah, new ratings would be great. I can read them and read them out loud if we want.

Speaker 1:

Yeah, oh, that'd be fun, all right. All right, We'll do it later. All right, take care, everyone, take care. Bye, bye you.

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Calculating NPS for Movies and Restaurants
Opportunity and Potential for NPS Software

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