Walid Boulanouar recently shared something that caught my attention: "my friend launched this ... give it a try and put your feedback in the comments thanks".

That is the whole move. No overproduction. No long pitch deck. Just a launch, an invitation to try, and a clear request for feedback.

I love posts like this because they point to a practical truth about shipping products (especially AI tools, agents, and automations): your first real milestone is not the launch itself. It is getting people to actually use the thing, then tell you what broke, what confused them, and what they expected instead.

In this article, I want to expand on Walid's idea and turn it into a repeatable, blog-worthy playbook for launching a small product (or feature) and collecting feedback that is specific enough to improve what you built.

The simplest launch strategy that still works

Walid's post is a micro-launch. It relies on three ingredients:

A human hook: "my friend launched this ..."
A direct call to action: "give it a try"
A feedback request: "put your feedback in the comments"

This matters because most early-stage products do not fail due to lack of features. They fail because the builder never gets enough high-signal feedback to reach product-market fit.

A launch is a learning loop, not a finish line.

When you ask people to try something, you are not just seeking compliments. You are buying clarity:

Who is it for?
What value do they think it provides?
Where do they get stuck?
What would make them come back tomorrow?

Why asking for feedback in public is underrated

Walid specifically asked for feedback "in the comments". That is not just convenience. Public feedback has advantages:

It increases the response rate

People are already on LinkedIn, already reading, and leaving a comment is lower friction than filling a form. Less friction means more attempts, and more attempts means more data.

Even short comments like "tested it" or "nice idea" signal activity. That increases reach, which brings more testers, which brings better feedback.

It forces the builder to clarify in public

When commenters ask questions, your answers become part of the product narrative. Over time, you will notice repeated confusion. That repeated confusion is your positioning problem, not a user problem.

Turning "give it a try" into feedback you can actually use

The risk with open-ended requests is vague responses:

"Cool"
"Nice"
"Not sure"

If you want better feedback, keep Walid's simplicity but add light structure. Here is a practical template you can use without killing the casual vibe.

1) Give people one specific job to do

Instead of "try it", aim for:

"Try it for 3 minutes and see if it answers your question"
"Run one workflow and tell me where you got stuck"
"Test it on one real use case from your day"

This narrows the mental load. People can comply quickly.

2) Ask 3 questions that generate high-signal answers

In the comments, prompt them with something like:

"What did you expect to happen?"
"What actually happened?"
"What would make this a must-use for you?"

These three questions uncover gaps in UX, messaging, and value.

The best feedback compares expectation vs reality.

3) Offer categories for feedback (so people know what to comment)

Examples:

"Bug"
"Confusing"
"Feature request"
"Pricing"
"Use case"

A tiny taxonomy makes comments more actionable and easier to triage.

A lightweight feedback loop for AI products and agents

Walid builds in the AI agents world, where feedback can be especially tricky because users blame themselves when something fails ("maybe I prompted wrong"). If you are launching an AI assistant, automation, or agent, you need to capture a bit more context.

Here is a simple loop that works well:

Step 1: Instrument the basics

Even if you are launching fast, track:

Activation: did they complete the first meaningful action?
Drop-off: where do they stop?
Output quality: did they accept or redo the result?

Step 2: Pair public comments with a private channel

Public comments are great for volume. But for deeper feedback, add one line:

"If you want to share screenshots or logs, DM me and I will follow up."

This gives you permission to collect details without forcing everyone into a form.

Step 3: Follow up with a specific ask

When someone comments, reply with a short follow-up:

"What were you trying to achieve?"
"Which part felt slow or unclear?"
"If this solved one thing for you, what would it be?"

Follow-ups turn praise into insights.

What to do with the feedback once it arrives

Asking is the easy part. The real win is what you do next. Here is a pragmatic way to process comments.

1) Convert every comment into a single sentence problem statement

Examples:

"User could not understand the first step"
"User wanted an export option"
"User expected faster results"

This prevents you from debating opinions and keeps you focused on problems.

2) Rank by frequency and severity

A good first pass:

Frequency: how often does it appear?
Severity: does it block usage or just annoy?

Fix blockers first. Then fix repeated confusion. Then add small delight features.

3) Close the loop publicly

One of the highest ROI moves is to post an update:

"Based on your comments, we fixed X and clarified Y"
"Keep testing, next we are improving Z"

This rewards contributors, builds trust, and invites round two of feedback.

Why this style of post can outperform polished launch content

Walid's original post is almost minimal. That is the point. In early stages, credibility comes from responsiveness, not polish.

Polished launches can accidentally signal: "This is done".
Walid's ask signals: "This is alive, help shape it".

If you are building tools in fast-moving spaces (AI, automation, agents), that invitation is powerful because users like being early. They like influencing direction. And they like being heard.

The best early adopters do not want perfection. They want progress.

A reusable script inspired by Walid Boulanouar

If you want to keep Walid's energy but improve feedback quality, here is a version you can adapt:

"We just launched a small thing. Give it a try and tell me:

What you tried to do
Where you got stuck (if anywhere)
One change that would make you use it again
Drop feedback in the comments, and if you have screenshots, DM me. Thanks."

It stays casual, but it produces better data.

Final thought

Walid Boulanouar's post is a reminder that product building is social. A launch is not just distribution, it is dialogue. If you can make it easy for people to try your product and easy for them to tell you the truth, you will learn faster than teams with bigger budgets and louder announcements.

This blog post expands on a viral LinkedIn post by Walid Boulanouar, building more agents than you can count | aiCTO ay automate & humanoidz | building with n8n, a2a, cursor & ☕ | advisor | first ai agents talent recruiter. View the original LinkedIn post →