71–80 of 123 posts
I'm still figuring out how to market it and attract more users to it.
Though this doesn't discourage me from continuing to improve and build the product.
I built a tool that lets you chat with 375k user software reviews and ask about user pain points. I put in a version of your question: What should I build for restaurant owners to help them ease some of their operations? And here is the first part of the answer it gave back: 1. One of the major pain points that restaurant owners face is the difficulty in managing and tracking orders from multiple delivery platforms.…
I asked the following question - “What should I build to help consultants who know AWS to people who are willing to pay to dollar”. How is the answer I got from your service different than the answer I got from ChatGPT? Since anyone can enter the same question for both, I won’t bother posting the replies.
How can I help consultants who have AWS skills meet potential clients that need their services and are willing to pay top dollar?
Here's what Painfinder responded with:
"1. One pain point that consultants with AWS skills often face is the challenge of finding potential clients who are in need of their services and are willing to pay top dollar. Existing software solutions in this space do not provide a comprehensive platform for connecting consultants with clients in a targeted and efficient manner. However, there are opportunities to address this pain point by leveraging the capabilities of existing software products."
Be very careful about how you ask questions because some forms of question solicit "approval" answers. It's culturally informed, some cultures try very very hard NOT to have to deliver a negative. Thats why some UX uses matched-pair questions which have two approaches to the issue at hand, boolean opposites, so you can see if they move sliders, weight or answer both the "correct" way to align the response. Separately…
This is a good book that helps deal with those issues: https://www.momtestbook.com/
Here are some critical questions to ask yourself:
1. Do potential customers know they have a problem?
2. Do they already have a makeshift solution?
3. Do they have a budget to spend on a better solution?
Earlier quoted context omitted.
Be very careful about how you ask questions because some forms of question solicit "approval" answers. It's culturally informed, some cultures try very very hard NOT to have to deliver a negative. This is one of those things that Steve Blank tries to address with the "Million dollar question." He suggests something like this (paraphrased from memory) 1. Ask your prospect (this assumes you've identified a prospect and…
What's your advice on doing this for products in rapidly changing markets? Example: Say you are an AI graduate who has worked in AI for a while before ChatGPT. Suddenly a competitor spins up something you were also developing - faster with ChatGPT - no problem, you launch it too. One month later, 20 more competitors have popped up, but none really gained too much share. It seems ok. Two months later, a competitor wit…
I think it's important to differentiate between market and product research. "Market research" for me is much more high level. I'm looking for competing companies/products, what are they doing? what can I do better? how they are positioned (budget, middle of the road, premium)? I'm trying to get a feel for how large the market is (in $ and # of users), etc. "Product research" is talking to prospective users/customers…
Is there a list of these areas?
One recommendation I have is to try manually providing this service to a few restaurants for a small fee. I didn't explore this approach - I simply gave up - but perhaps it might work for you. For instance, they could message you a photo of their menu, and you could update it across various delivery sites. By leveraging some AI and cheap labor, you might even be able to scale it up.
If you want to create a B2B product, I would look for 1-star reviews in G2 and Capterra and see if you can solve these problems yourself. You could also check what people are complaining about / asking help for in relevant subreddits and see if you can build a product around that.
How do you trust a single 1 star review as validation?
I built a tool that lets you chat with 375k user software reviews and ask about user pain points. I put in a version of your question: What should I build for restaurant owners to help them ease some of their operations? And here is the first part of the answer it gave back: 1. One of the major pain points that restaurant owners face is the difficulty in managing and tracking orders from multiple delivery platforms.…
All I’m getting are hallucinations
I was is in a similar position some time ago (albeit with a very different product). Long story short: Understanding the complexities of why a certain problem remains under-addressed was difficult in our case. As a result, we ended up pivoting into the direction of helping (potential) founders validate ideas through a specialized search engine of startups. We just launched a beta version of this on https://www.symond…
All I can say is nobody answers online surveys anymore it seems :( I tried and failed hard with that. Speaking it people directly gave me more insights. The best approach is to build a prototype and test the waters.