Discover a Restaurant Invoice Sample for Product Management that Simplifies Your Workflow

Restaurant invoice sample for Product Management

hello guys welcome guys welcome to my channel pro product guru where i will be talking about all the product management stuff uh to help the people out there who wants to transition from um any field to product management uh in this video specifically i will be talking and answering uh product product design related questions please leave your uh comments and feedback in the below section um and let me know how how do you like it so far thank you questions uh how would i improve yelp restaurant search so i first i would like to clarify what what is a product about like yelp restaurant search so that we are on the same page uh basically yeah restaurant search is something like i can use uh on my mobile as well as web uh web application i go to yelp.com or download the yelp app i i search for any restaurant like for example mcdonald's or chipotle and i will uh i will see the nearby uh restaurants uh like nearby places for that particular so either i can search on cuisines like indian cuisine or mexican cuisine or i can search a specific restaurant so those are some of the things that i can see the reviews and ratings and comments and people like it dislike it those kind of stuff is that what we are talking about yes yeah we're talking we'll define the restaurant search specifically to mobile app and then just say yeah anything in the restaurant search process so the problem you're experiencing is you don't know where you would like to go eat that's that's the whole whole thing so however specific or general you want to dive into the solution that is just the general search issue okay got it uh cool um so the problem as as you mentioned the problem is where would i go to eat that is a basic problem uh i'm still not don't have any idea or the search is not that great i'm still getting confused where i should go and eat right that is a that is a goal that we are solving okay that sounds good cool um so i would like to uh talk about my structure first so i will talk about my business goals we'll talk about my product goal we'll talk about some of the user segments we'll talk about user journey talk about some of the pain points solutions and methods uh does it sound good that sounds great yeah uh so business goal let's talk about it so uh talking about the business goal in general what is the goal of uh this particular yelp product so i would think about uh yelp is already a well-established platform it's already matured there's a lot of users millions of active daily active users on the platform um so i think the goal here is not activation and acquisition we already acquired a lot of users and the goal is also not we are talking about the users who are searching for the restaurant and the goal is also not monetization and revenue so i think the goal is uh for the users to spend their time most amount of time on the yelp so engagement is our final goal so that's what i'm thinking thank you uh cool what is the goal of the product so uh and how does it tie to the business goals so i would say um the product goal is uh to help people find restaurants so yeah so this is the product goal so the search feature is helping people to find the restaurants for what they're looking for and if they do that then that will also increase our engagement as the goal of the company so that's what i can think of good cool okay let's talk about some of the users just give me a few seconds to think about it yeah take your time so yeah i have three users number one uh customers who are actually searching for a restaurant businesses uh businesses are actually restaurant owners uh so people who uh so when i'm searching for a restaurant uh they those are the businesses that have to uh add their content their restaurant images search all the search capabilities those are the businesses and advertisers so i think yelp also works on the advertisement basis so um after you search for a restaurant there's there's a list of restaurants as well as this few ads which you can click and help get some money um and um and advertisers get the money by completing their click-through rate or completing the but after i buy a particular product through the advertisers so i think these are three user personas which i'm thinking uh the reason why i picked up these users because these are mutually exclusive and have their different pain points and i would like to focus on one because uh for my mvp minimal viable product i would like to focus on one for my first release and then for the later releases on my roadmap i would like to focus on something else so for my first release my basic user is this is very important user the end customer because the search feature is basically who is interacting with the search feature on daily basis actual customers who are interacting right so i think uh customers make sense here if we improve this feature then we are improving the overall engagement we are helping people it's all inclined towards our goal uh later on we can focus on businesses and advertisers so i'm focusing on customer base upon our goal engagement as well as the frequency of usage frequency of usage is number of customers are a lot in yelp there's millions of users so there's a lot of users using the products why i'm focusing on customers does that make sense yeah makes sense cool um now let's talk about the user journey um so if i'm if i'm the customer or i'm looking for a restaurant what will i do so uh specifically we are targeting for mobile apps so i download this app yelp so i will say download uh then i want to uh like i'm hungry and then i want to search for i want to eat um like for example italian cuisine so i will search italian and it will show me the results and then i have to go through the list of the restaurant based upon rating fit there's a filter option uh there's review and there's images that i i can look for those are some of the criteria that i that i follow right now and based upon that i select a restaurant and then after i select a restaurant i do directions it opens my google map or i can call them um to book my uh reservation yeah that's what i do right now so yeah i think that's the regular journey right now and then after i finish or i eat over there i review them so that people get uh more people get engaging and more people come to that restaurant to benefit that restaurant as a business also that's what i do any questions so far before i move forward following perfectly uh cool uh i think there's a lot of problems at every stage right now which we can improve in the search journey uh so let's talk about some of those problems in the painting i think i will stop here so there's a lot of problems i listed uh so the current pain points and the problem for the consumers are the first thing is first thing when i get up in the morning if i'm hungry i do not know what what should i eat whether whether i should eat um an omelette or any heavy uh stuff so i keep on looking for different cuisines let's let's check out italian what are some of the restaurants what are some of the indian restaurants what are some of the american restaurants so i do not know actually what i'm supposed to be second is um if i know something if i if i want to eat an italian pizza food or pasta then there's thousands of restaurants on yelp i can filter based upon rating and reviews and stuff but still i'm confused because sometimes two restaurants or 10 restaurants have similar ratings like 4.8 4.7 that is not helping me i'm still confused which one to pick uh description and ratings is misleading sometimes if i even go to a restaurant which has 4.85 rating i'm not satisfied with the kind of food they're giving me and sometimes the behavior of the restaurant owners are not good um so that is again a misleading thing there's no description dating and images in some of the some of the restaurants um and there's no restaurants for my cuisine sometimes that's that's possible because if i'm if i let like ethiopian or peruvian those are very specific and niche market um and if you go to midwest or somewhere where people don't eat peruvian so i struggle with that um there's no restaurant for my specific dish so this way so every cuisine has a millions of dishes right uh and in u.s there's where there's a diversity and a lot of countries people live here it's very difficult to find specific dish and then whether i will find a parking or not i'm not sure um that information is not there uh calling them and booking is also a trouble i have to call wait and then listen from them okay uh and then wait um and they will tell me okay this is a time that you can come uh maybe that can be improved also those are some of the problems i i can think of in the current user journey or yeah user journey any questions so far no that's that's good okay talking about those problems i would like to prioritize some of the important problems based upon so let's talk about how i'm prioritizing them so i'm prioritizing them based upon impact and frequency so impact meaning if uh solving a particular pain point has a huge impact medium or low impact on my user um and then the frequency is how often i'm experiencing that pain points on my daily life if i'm experiencing them on daily basis then it's a very high otherwise lower medium based upon that let's talk about so i do not know what to eat i think that is low impact and low potency i always know what to eat and usually i look at my friends also they are confused but mostly we can figure it out so i i will delay that for the next release uh there's thousands of restaurants and confused which one to pick because sometimes the ratings are similar i think i would say impact is high because i've i've seen that a lot in frequency i would say medium too high as well so description of the rating is misleading um i have experienced that so i i would say uh high uh in impact and high in frequency there is no description rating and images this will only happen if your restaurant is very new and yelp does a good job in making sure your restaurants has visibility and you give some uh like points or you use give some gift cards initially to people to let them write the reviews and stuff so i think uh in my experience i have not seen that but that is possibility so i i want to solve that but not for this release so medium and impact medium and frequency there's no restaurant for my cuisine important uh cool so i think that is important uh thinking from the diversity of the people living in u.s and uh we are so actually uh i forgot to ask so we are improving this for u.s market that's what i'm thinking that's uh and then we are planning to increase the scope globally because yelp is a global company yeah yeah well we'll constrain it to the us first yeah so thinking the u.s market there's a lot of people living in the u.s and people like to eat different cuisines so i would think that it is also high in impact and a high-end frequency there's no uh restaurant for a specific dish i would say that is lower uh medium impact and medium frequency because how many times a person has to eat a specific dish uh not a lot people keep on repeating whatever they're like eating every day sometimes they feel like they want to eat some specific dish but that is that market can be uh we can wait for that everybody like most 90 or 80 of the people have cars so that is always a problem but that problem only happens in the city not in the other side because city is very congested but still uh there's a lot of people living in the city so i think that is also high in impact and high in frequency calling them and booking is a trouble uh so thinking from that perspective i think that is also a very important problem because everyone experiences that so calling on like if i'm if i'm going to a restaurant i always call them and ask them whether you are available for this for your time that can be improved also for high end impact so i think there's a lot of high in impact on high frequency but for this release let's focus on so there's four uh number three number five number uh seven and number eight so among that let's focus on few of them because i think we don't have that much time the description and the rating is misleading there's no restaurant for my cuisine i think there's no restaurant for my cuisine i would like to focus on uh on the late so this is my p0 requirement p0 is mvp uh the description and rating is misleading uh so number one pain point was was the description and the rating was misleading right uh the rating and and description is misleading how we can solve that is through think think about it amazon amazon some of the items are amazon choice amazon trusted similar to that so we can have similar thing for yelp in which some of the uh listed items will be yelp uh yelp trusted um and the second was help restaurants to maintain the quality so yelp can help the restaurants uh to maintain the quality so that your description and ratings are updated or accurate how yelp can do it is through asking restaurants why the description ratings are misleading compared to you uh if we can help you in the in providing good infrastructure good uh marketing or good uh manpower stuff like that so you can enter into that business and then the then another pinpoint is is there any parking so parking problems right so yeah so think about it yelp can enter into that business where there will be yelp employees helping people for parking so they can carry they can take the car off people and they can park anywhere so there will be an app where you book your restaurant and then you uh it will tell you there will be a person waiting for you to take your car and whenever you are done call that person the person will come and give your car to you so it's like uh it's like the same if you go to any big hotels or vice versa uh parking information can be provided so there will be parking information whether there's on-site parking whether there's a cub side parking whether you can park one mile away something on those lines that is this that is not there right now and third is uh it will have information okay you can park maybe 500 um like 500 feet away from at this location and there's a 15 minutes uh cab ride or public ride that comes from that spot to the restaurant and we will provide that free of cost so something on those lines uh third is calling them and booking is a trouble so that takes a lot of time i agree so the solution of virtual assistant to help in calling so when you call that restaurant the restaurant will help you or there will be a virtual assistant similar to google duplex so a virtual bot sitting on the other side will be helping you in the booking so that will be much more faster and much more convenient second is a chatbot feature where you are just chatting hey um i just want to book this restaurant for this particular time and the chatbot will take care of everything so these are some of the solutions i am thinking um so as i mentioned these are my mvp features so i would like to focus on all of them but as i have multiple solutions so let's talk about which solution i will pick so among so i would like to prioritize them based upon um reach impact and effort um so i think uh to quickly jump into my matrix i think uh yelp should not enter into the manpower business because help is a um is a software company is a technical company and it's a innovative company so we should uh help in providing restaurants a trusted standard uh so yeah so yelp will mark this restaurant as a trusted yelp uh restaurant uh if the restaurant meets some other standards so i think we should go here so high in reach high in impact and high in effort otherwise the restaurant to maintain the quality where yelp is helping in the manpower and infrastructure that is very high in effort so i think we should not be entering into there in that market so parking problems so i think uh help will provide people second is the uh information will be provided third is restaurant provided i think uh makes sense is uh the reach is high here and impact is high effort is i think medium and this is what we should be providing for the first release and then based upon the feedback we can go in into yelp providing the manpower or also restaurant providing the public service second uh third is calling feature right so i think virtual assistant that will help the restaurants and the chatbot i think those are similar but i think uh the the major impact is having a chatbot like texting and then letting the bot do the reservation automatically without the person calling in so high an impact high in region high enough high in effort so these are some of the uh solutions i'm targeting uh do you have any question before i jump into matrix okay quickly jumping into matrix so as our goal was engagement um so how by how then percentage of people booking the restaurant after looking at the parking information um and also a percentage of people booking the restaurant after looking at the trusted scanner so these are some of the metrics i would like to measure yeah so in order to conclude i think the the question was how i can improve the search feature for restaurant and real i picked up the cold wars engagement the most important customer segment was the actual consumers who are using it i talked about the user journey and the pain points i picked up three one was the information information is misleading second was parking is not there and third is the calling feature is a trouble i came up with several solutions and uh finally i prioritize them based upon reach impact and effort and these are some of the important matrix i would like to mention yeah i will hear your feedback what do you think yeah excellent uh excellent job i guess just like you just because i've never had someone say that before what is your self-evaluation first yeah i think good question um i never did a yelp question i'm preparing for google uh but it's a good experience to talk about other products so that you know the breadth of your knowledge so i think ing to me um it was decent i talked about ing to me the user segmentations was fine mutually exclusive uh you use it in me so i was actually stepping into because i used to use yelp before so i was stepping some of the problems that i i encountered in the past and these are the problems right now which i currently experience so i think overall it was a decent answer maybe i could have done better job in the solutions um i was not able to think but these are i think these are fine for now here no i agree with you um so here is my feedback let's see here um so starting off with the things you did well um i thought you did a great job of talking about the structure up front which obviously is very important um i agreed with your business goal i thought you did a great job discussing the trade-offs between obviously activation retention monetization um and came up with engagement which i think was really really good um great job with the user segmentation as well i obviously agree um that customers here are really the users that are going to have a scaled impact like you said so once the experience is improved for customers it's also going to be improved for businesses and then naturally it's also going to be improved for advertisers so that was a good choice there um i hadn't seen anybody had interviewed with artbeads as well but i like how i did the p0 and the p1 talking about um and you would implement certain features at a particular time i think that was something that was unique and uh strong let's see weird great job coming up with a lot of problems and solutions i think that um it really showed your ability to empathize with the user which obviously is something that all all interviewers are looking for something that i thought could be improved and again a lot of these improvements are just interviewers preferences some prefer you go in one direction and some before you go in a completely different direction but one thing that i thought you could have done was either specify yourself or ask what particular percentage uh that would like engagement to be improved over a particular period of time um and there could be an interviewer who's okay leaving it broad at just engagement or there could be an interviewer who really wants you to dive in and on the specific metric change on the other improvement which you caught yourself uh towards the end but was just talking about constraining the issue geographically and so i don't think it was that particular you know it wasn't that big of an issue because you realized uh that it was an issue and caught it before the end of the problem right right right yeah that's my feedback you did a really excellent job and yeah it was a it was a great time i hope you thought feedback was valuable