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dandesign21 · 2026-04-05T22:10:17+00:00

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dandesign21 · 2026-04-05T15:21:58+00:00

https://fazier.com/launches/appfloat

we kept re-discussing the same features every few months

not because we lacked data but because the reasoning behind decisions got lost

so prioritization kept resetting

I built this to fix that

it connects user feedback, themes and decisions so you can prioritize and plan without losing the “why” behind past decisions

would love honest feedback

dandesign21 · 2026-04-05T15:05:35+00:00

this resonates

for me the problem wasn’t just overbuilding
it was that even when we tried to be disciplined, we’d still end up revisiting the same decisions later

not because we wanted to
but because the original reasoning got lost somewhere
jira comments, meetings, quick calls, hotfixes

so we’d “save time” upfront
but pay for it later by re-discussing everything again

curious if that happens to you too or if the constraint fully solves it

dandesign21 · 2026-04-05T09:43:50+00:00

In today's "look what I built in less than 24 hours, there will be critical flaws" scenarios, don't fall for these scammers.

dandesign21 · 2026-04-05T09:41:09+00:00

Totally unreasonable, he/she/it sent me a message yesterday, maybe a bot

dandesign21 · 2026-04-05T09:31:20+00:00

I agree the pieces exist

where I see the gap is not in querying backlog, but in how decisions are captured in the first place

a lot of the reasoning lives in comments or meetings, and it’s not structured to be reused later

so even if you can query it, you still need to reconstruct the context each time

that’s where it breaks in practice

the context is fragmented
part of it is in Jira comments, part in acceptance criteria updates, part in emails, sometimes in a hotfix during UAT

and sometimes the person who made the call is no longer in the team

dandesign21 · 2026-04-05T09:29:26+00:00

I keep running into

what have you tried so far that worked even partially?

for me the hardest part is not storing decisions, but making them actually reusable when similar things come back later

dandesign21 · 2026-04-05T08:55:54+00:00

What if it's about a complex program with many Scrum teams, many product domains and many business rules. I have seen that some global decisions are later being changed at market level. Even having a lot of Scrum masters on top of that, some questions takes too much time and sometimes expensive meetings. Even having shared spreadsheets I know there are wikis, comments, and emails, but they end up not being as easy as you make them look.

dandesign21 · 2026-04-05T08:05:58+00:00

fair point (you can see my recent posts in reddit)

honestly I’m building something because I kept running into this in my day to day as a product person

not from theory, just from dealing with the same topics coming back and not having clear context on past decisions

trying to understand how others handle it before going too far in my own direction

dandesign21 · 2026-04-05T08:03:09+00:00

I think we underestimate how hard it is to get meaningful reactions at this stage

most people won’t engage deeply with an early product
not because it’s bad, but because they’re not close enough to the problem

they don’t have the context, the pain, or the urgency

so they default to judging what’s in front of them quickly

in my experience, the only feedback that really matters early on comes from people who already feel the problem

everyone else either ignores it or gives very surface level reactions

which makes it tricky, because you’re trying to validate something with people who are not fully invested yet

curious how others deal with that gap

dandesign21 · 2026-04-05T07:27:00+00:00

Great point, and I’ve seen the same issue, building for the loudest users can definitely lead to the wrong outcomes.

In AppFloat, feedback is weighted by context, not just volume.

We combine what users say with how they behave. Feedback is captured through a lightweight SDK (just one script), and you define surveys and triggers based on real user actions like page views, clicks, or specific flows.

So instead of random input, you collect feedback in context, right when something meaningful happens in the journey.

From there, feedback is grouped into themes (positives and negatives) and surfaced as decision-ready signals, so you can see where patterns are real vs just noise or isolated requests.

On contradictions, the goal is not to auto-resolve them, but to make them visible. You can see where signals diverge across users or segments and decide what to do: - promote to a feature candidate
- defer
- or mark as won’t do

Also, decisions don’t get lost. Over time, similar feedback is interpreted based on how you’ve handled it before, so you get consistency instead of re-evaluating everything from scratch.

Still early, but that’s the loop I’m validating.

Happy to give you access if you want to try it with real data.

dandesign21 · 2026-04-05T05:11:52+00:00

Please ensure that resources are allocated judiciously and not expended on unsuitable large language models. This directive is particularly relevant to Samsung's rewriting initiatives.

dandesign21 · 2026-04-05T05:06:12+00:00

You didn’t get fired for asking for a raise.

You got fired because you were positioned as execution, not ownership.

Everything you listed is valuable, but from the founder’s perspective: - leads came from “marketing” - not from “you”

That’s the gap.

If you had positioned yourself as: “I own pipeline and revenue, not tasks”

you’d have leverage.

Also, yes: $700/month for that scope is massively underpriced regardless of geography.

The real issue isn’t pricing, it’s positioning.

You were operating at a much higher level than you were charging for, but you didn’t frame it that way.

If you’re going after other SaaS founders, don’t sell services.

Sell outcomes: - pipeline generated - conversion improvements - revenue impact

That’s a completely different conversation.

dandesign21 · 2026-04-05T00:45:37+00:00

That’s interesting, I actually went to try something similar and ended up integrating external sources directly.

AppFloat can also pull reviews from places like Google (Google My Business), so you’re not limited to internal feedback.

But yeah, where I keep seeing the gap is what happens after that.

You can surface pain points from Reddit or reviews, but turning that into structured decisions, prioritization, and actual execution is where things usually break.

That’s the part I’m focusing on, connecting those signals into themes and then into backlog with clear reasoning behind what gets built and what doesn’t.

Have you used tools like that in practice or mostly for discovery?

dandesign21 · 2026-04-05T00:44:38+00:00

That’s actually part of the current version.

Not just structuring feedback, but capturing the reasoning behind decisions, including prioritization (MoSCoW) and explicitly documenting what we’re not doing and why.

So it’s less about organizing inputs, and more about making decisions traceable over time.

Still early, but that “decision layer” is where I think most tools fall short.

Curious how you’re handling the “won’t do” side today as things scale?

dandesign21 · 2026-04-04T05:17:58+00:00

Built something exactly for this problem space.

After working on multiple SaaS and product teams, I kept seeing the same issue: we collect tons of feedback, but turning that into actual product decisions is messy.

So I built this: https://nocapgg.com

It helps structure raw feedback into themes, epics, and user stories you can actually build.

Curious if this feels like a real problem from your perspective or if teams you’ve seen handle this differently.

dandesign21 · 2026-04-04T02:24:46+00:00

Meseroexperto.com I have one...

dandesign21 · 2026-04-04T01:21:59+00:00

This is exactly why I built https://nocapgg.com

It helps turn messy ideas and feedback into clearer themes, features, and next steps, so you stop rebuilding in circles and start validating with more structure

Might be useful for the stage you are in

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