Master the Perfect ChatGPT Prompt Formula (in just 8 minutes)!

[00:00] I don't usually overhype myself but in

[00:02] this video we're going over the only

[00:04] formula you will ever need to master

[00:06] prompting on ChatGPT and Google Bard

[00:08] so let's get started hey friends welcome

[00:11] back to channel if you're new here my

[00:12] name is Jeff I work full-time in Tech

[00:14] and if you're anything like me a couple

[00:15] months ago you know prompting is an

[00:18] important skill to learn but you're not

[00:19] exactly sure why some prompts generate

[00:22] outputs that are super generic While

[00:24] others give you precisely what you're

[00:26] looking for since then I've spent

[00:27] hundreds of hours taking prompt

[00:29] engineering courses and applying what

[00:31] I've learned in my daily life and so in

[00:33] this video I'm sharing the six building

[00:34] blocks that make up a good prompt so

[00:36] that you can use this formula to

[00:38] consistently generate high quality

[00:41] outputs first it's critical to not only

[00:43] know what the six components are task

[00:45] context exemplars Persona format and

[00:47] tone but also know that there's an order

[00:50] of importance to these six components to

[00:53] show you what I mean let's use this

[00:54] simple example I'm a 70kg male give me a

[00:57] three-month training program the first

[00:59] part is context followed by the task the

[01:01] reason why the task is higher up in the

[01:03] form of the hierarchy is if we just

[01:05] input the task without the context

[01:06] there's still some sort of meaningful

[01:08] output but if we just give ChatGPT the

[01:11] context nothing really happens put

[01:13] another way it's mandatory to have a

[01:15] task in your prompt it's important to

[01:18] include relevant context and exemplars

[01:20] and it's nice to have Persona format and

[01:23] tone when you think of writing your

[01:25] prompt go down this mental checklist so

[01:28] this formula will act as a constant

[01:29] reminder for you to include just enough

[01:31] relevant information when writing

[01:33] prompts and as you'll see in this next part

[01:35] you do not need all six components in

[01:38] every prompt to have a good output now

[01:40] let's break down each building block

[01:42] with specific examples starting with the

[01:44] task the rule of thumb is to always

[01:46] start the task sentence with an action

[01:48] verb generate give write analyze Etc and

[01:51] clearly articulate what your end goal is

[01:54] it could be one simple task like

[01:56] generating a three-month training

[01:57] program or a complex three-step ask like

[02:00] analyzing hundreds of user feedback

[02:02] sharing the top three takeaways and

[02:05] categorizing the feedback based on the

[02:07] team responsible for following up the

[02:09] second component context is the

[02:10] trickiest to get right because

[02:11] technically there's an infinite amount

[02:13] of information you can give so I found

[02:16] asking myself these three questions to

[02:18] be super helpful in coming up with just

[02:20] enough information to get a good result

[02:22] from ChatGPT first what's the user's

[02:24] background second what does success look

[02:27] like and third what environment are they

[02:29] in Back to the workout example we now

[02:31] have I'm a 70kg male looking to put on

[02:34] five kilograms of muscle mass over the

[02:35] next three months I only have time to go

[02:37] to the gym twice a week and for one hour

[02:39] each session give me a three-month

[02:41] training program to follow could I have

[02:43] added more background information of

[02:45] course only prioritize the muscle groups

[02:47] that make me look good on Instagram

[02:49] but the key to staying productive with

[02:51] ChatGPT and Bard is giving just enough

[02:53] information to constrain the endless

[02:55] possibilities by the way although this

[02:57] video is not sponsored it is supported

[02:59] by those of you who subscribe to my paid

[03:01] productivity newsletter on Google

[03:02] workspace tips Link in the description

[03:04] to learn more moving over to the

[03:06] exemplars component it's just a fancy

[03:08] way of saying examples basically all the

[03:10] research on large language models LLMs

[03:13] have shown that including examples

[03:15] within the prompt drastically improves

[03:18] the quality of the output starting with

[03:20] a simple example this is a poorly written

[03:22] bullet point from a resume we can now

[03:25] ask ChatGPT to rewrite this bullet

[03:27] point using this structure I accomplished

[03:29] X by the measure y that resulted in Z

[03:31] which is actually best practice by the

[03:33] way so actually do this in your resume

[03:34] for example I lowered Hospital mortality

[03:37] rate by 10% by educating nurses in new

[03:39] protocols which translates to 200 lives

[03:41] saved per year here's a slightly more

[03:43] complicated example for interview prep

[03:45] based on my own resume write me an

[03:47] answer to the interview question what's

[03:49] your biggest weakness use the star

[03:51] answer framework situation task action

[03:53] and results here instead of using a

[03:56] full-blown interview answer as an

[03:57] example which would be overkill the star

[04:00] framework acts as an example structure

[04:02] for ChatGPT to follow last example

[04:04] let's say you need to write a job

[04:05] description you give some context around

[04:07] the opening and ask ChatGPT to

[04:09] reference an existing job description if

[04:12] I use this one I found on LinkedIn the

[04:13] output will follow the same formatting

[04:15] and use the same professional HR-y

[04:17] language saving me a bunch of time main

[04:20] takeaway here exemplars are not

[04:22] necessary for every prompt but including

[04:25] a relevant example or framework will

[04:27] greatly improve the quality of your

[04:29] output moving along the Persona

[04:31] component is basically who you want

[04:33] ChatGPT and Bard to be and the pro tip

[04:36] here is to think of someone you wish you

[04:38] had instant access to with the task

[04:40] you're facing if you enjoyed yourself

[04:42] working out that person might be a

[04:43] physical therapist with experience

[04:44] helping athletes recover if you're a job

[04:47] Seeker that person might be a recruiter

[04:48] or hiring manager if you're working on a

[04:51] creative brief that person might be a

[04:52] senior product marketing manager who's

[04:54] great at storytelling Pro tip you can

[04:56] also name specific individuals but I

[04:58] found the results to be good only when

[05:00] they're famous enough like Warren

[05:01] Buffett Steve Jobs Jeff Su

[05:04] by the way I just have to share this we

[05:06] have a team off-site with a superheroes

[05:08] theme so I asked ChatGPT to draft an

[05:10] email from Batman and it even included

[05:12] things like please let Alfred know and

[05:14] signed off as Your Dark Knight

[05:16] um so fictional characters work as well

[05:18] and I'm actually going to use this the

[05:19] fifth component format the pro tip here

[05:22] is to literally close your eyes and

[05:24] visualize how exactly you want the end

[05:26] result to look like a million likes on

[05:28] my thirst bomb Instagram photo damn it

[05:30] didn't work back to the user feedback

[05:32] example I don't want to read each

[05:34] sentence so I asked ChatGPT to take

[05:36] all the feedback and output a table with

[05:39] three headers the original feedback the

[05:41] team responsible for following up and

[05:43] priority and now I can copy this

[05:46] directly and paste it into a Google

[05:48] sheet sort by priority and filter by team

[05:51] other common formats include emails

[05:53] bullet points and code blocks but the

[05:55] one I found to be the most useful as a

[05:57] full-time working professional is

[05:58] paragraphs and markdown for example I

[06:01] just received a lengthy industry report

[06:03] for my director first give me the three

[06:04] key takeaways then summarize based on

[06:07] topic use H2 as section headers here is

[06:10] the report Pro tip whenever I use ChatGPT

[06:12] to proofread any document I specify

[06:15] that all changes need to be bolded so I

[06:17] can easily see exactly what has been

[06:20] changed let's quickly go through the

[06:21] last component tone before we put all

[06:23] this together in one example the good

[06:25] news is tone is easy to understand use a

[06:28] casual or formal tone of voice give me a

[06:31] witty output show enthusiasm sound

[06:34] pessimistic the bad news is we're

[06:37] usually not very good at recalling the

[06:39] thousands of potential adjectives and

[06:41] adverbs at a moment's notice so here's a

[06:43] pro tip tell ChatGPT the feeling

[06:46] you're going for for example I'm writing

[06:48] an email to a team I haven't worked with

[06:49] before and I want to be taken seriously

[06:51] without coming off as too stuck up and

[06:53] cringy can you please give me a list of

[06:56] five tone keywords I can include in a

[06:58] prompt for ChatGPT and look now in the

[07:00] actual prompt I can say use clear and

[07:02] concise language and write in a friendly

[07:04] get confident tone putting all this

[07:07] together let's look at this

[07:08] comprehensive prompt you are a senior

[07:10] product marketing manager at Apple

[07:12] Persona and you have just unveiled the

[07:14] latest Apple product in collaboration

[07:16] with Tesla the Apple car and received 12

[07:18] 000 pre-orders which is 200% higher than

[07:21] Target context write an email to your

[07:23] boss Tim Cookie sharing this positive

[07:25] news task and format the email should

[07:28] include at tl;dr too long didn't read

[07:30] section project background why this

[07:32] product came into existence business

[07:34] results section quantifiable business

[07:36] metrics and end with a section thanking

[07:39] the product and Engineering teams

[07:41] example structure use clear and concise

[07:44] language and write in a confident yet

[07:46] friendly tone tone note that if I had an

[07:49] existing email to reference I could

[07:51] delete the instructions around the

[07:53] structure and simply tell ChatGPT the email

[07:56] should follow the exact same format as a

[07:58] one I'll share below and paste the email

[08:00] from before by the way you can compare

[08:02] the output from this prompt to that of a

[08:04] simpler prompt I just launched a new

[08:06] product at the Apple car I received 12

[08:08] 000 pre-orders please write an email to my

[08:10] boss with this update there's a pretty

[08:12] big difference in terms of how generic

[08:14] and usable the end result is now that

[08:16] you know the basics of prompting my next

[08:18] video is going to take you from beginner

[08:19] to Pro so make sure you're subscribed

[08:21] for that check out my top five ChatGPT

[08:23] productivity tips for work see you on

[08:25] the next video in the meantime

[08:27] have a great one