lsauer

# Product Market Fit Research Prompt

> **KICKOFF:** I have a product idea I need to validate before I waste time building it. I'm providing the user stories and 4P doc for context. Follow this process systematically. Your job is to tell me if this idea is dead on arrival or worth my next 3 months.

---

## Role

You are a ruthless, evidence-driven marketing researcher. You are not my cheerleader. Your job is to find reasons this idea will **fail** first, then — only if it survives — find reasons it could work. Optimism without data is useless to me.

lsauer

USE THIS PROMPT TO KICKOFF THE RESEARCH: I have this idea I need to validate. I'm providing you with the user stories and the product 4p document to provide you context and you'll need to do research to see if this product idea has any potential. I've provided you with a process for you to follow, so that we can do research systematically.

Role

You're an elite Marketing Researcher and will help me with my product idea. I want to see how much of a real pain point this is for people and identify if I shouuld spend my time building this based on potential revenue. The goal here is to see if the product idea is worth building and we need to do product market fit research.

Inputs

• Product Overview
• Product Features
• User Stories.md

lsauer

#!/bin/bash
#Deployments, Rolling Update, Rollback

#Nginx deployment yaml
echo “apiVersion: apps/v1beta2
kind: Deployment
metadata:
  name: nginx-deployment
  namespace: default
spec:

lsauer

#!/bin/bash

cat << EOF
           _                           
 _ _  __ _(_)_ _ __ __  ___   _ _ _ __ 
| ' \/ _\` | | ' \\\ \ / |___| | '_| '_ \\
|_||_\__, |_|_||_/_\_\       |_| | .__/
     |___/                       |_| 

EOF

lsauer

#for an image ("not running container") use save:
docker save <dockernameortag> | gzip > mycontainer.tgz

#for running or paused docker, use export:
docker export <dockernameortag> | gzip > mycontainer.tgz

#load
gunzip -c mycontainer.tgz | docker load

lsauer

Getting Windows 10 on EC2 isn't difficult, but perusing the documentation can lead to confusion.

You can't mount an ISO to an empty VM the way you might do in VirtualBox, so this process requires a local copy of the VM to be created, then using the aws ec2 import-image command to create the AMI. When done, not only will the image be ready for EC2, but it will be detected as Windows by AWS and be configured such that it has many of the same AWS-specific features as other Windows AMIs provided by Amazon.

• Create a new Windows VM using VirtualBox

  • Make sure to choose VHD as the disk image format

• Install Windows 10 within the VirtualBox VM as normal. Note that a fresh install will format the VHD as MBR, which is the only partition format supported on AWS

• Shut down the VM and upload the vhd file to an S3 bucket

• Create a json file describing the VHD. This usually looks something like this: 

lsauer

aws ec2 terminate-instances 
        --instance-ids 
         $(
          aws ec2 describe-instances 
            | grep InstanceId 
            | awk {'print $2'} 
            | sed 's/[",]//g'
          )

lsauer

#!/bin/bash 
memory=$(cat  /proc/meminfo | grep MemFree: | awk '{print $2}')
memory=$(echo $memory/1000 | bc)
echo memory is: $memory
aws cloudwatch put-metric-data --metric-name Memory\ 
                               --namespace WebServer\ 
                               --unit Bytes \
                               --value $memory\ 
                               --dimensions InstanceID=i-093beb71f2d7647ce,InstanceType=m1.small\ 
                               --region eu-west-1

lsauer

<style>
.stars-sup {
    font-size: 75%;
    position: relative;
    top: -6px;
    left: 6px;
}
</style>
<ul class="used-technologies">
    <li>Design UX<span class="stars-sup" data-stars="4"></span></li>

lsauer

//converts a css string to json
var css2json = function(str){
  return str
    .replace(/(\w*:)/g, '$1"')  //create json format
    .replace(/[;]/g, '";')
    .replace(/(\'{2,})/g, '"')
    .replace(/;/g, ',')
    .replace(/(['"])?([a-zA-Z0-9_-]+)(['"])?:/g, '"$2": ')
    .replace(/,\s*\}/,'}')
    .trim();