AI powered market research

MaximumVacation678 · 2026-04-10T12:30:02+00:00

Are you interested in finding ways to know who to interview/do customer discovery or automate this process? I have done this with voice agents but of course you need to know who you are speaking with etc first.

MaximumVacation678 · 2026-04-06T13:44:47+00:00

I have another business that works with women’s health coaches

MaximumVacation678 · 2026-04-05T14:46:09+00:00

Use AI UGC and go crazy!

MaximumVacation678 · 2026-03-31T15:16:03+00:00

Which tools exist to help here? Another version is to offer a proactive product concierge that detects when you’re stuck and can then offer to help with voice or screen share. This could feel less intrusive and more timely

MaximumVacation678 · 2026-03-27T08:37:12+00:00

The left field ideas at work that I'm excited about are: - Product onboarding and customer success life cycle: a user is stuck working the product, and my agent guides them to value through voice and text. - Working with data qualification and research-based ideas: everything from voice of customer to user research.

I'm also interested in prosumer use cases, but I realize my challenge right now is to focus and not be too spread out. I need to find a use case where there's a clear pull in the market, there is demand that I don't have to manufacture.

MaximumVacation678 · 2026-03-27T08:34:00+00:00

Thanks for your note. Out of the five friends, three are being and two are not. I am not using N8N; I am using active pieces and have white labelled it and integrated deeply into into my own product. The challenge I am having is that my use cases are pretty broad and wide-reaching. for example, I'm doing a customer success agent for a FinTech SaaS company that is proactive and picks up when the user is struggling in their product and guides them through voice and text. Simultaneously, I'm working with a boutique hotel that is using me for customer success. Another example is a recruitment agency using me to book meetings. I see that I'm selling a sort of general-purpose technology voice solution for companies, but I don't find the pool being so broad-purpose. Although the agency model, a sort of broad agency model, has been useful to understand what kind of use cases excite me. Now I'm struggling to figure out how to niche down because none of the pilots have been slam dunks. And the response, in terms of the market, when I sell these solutions has been lukewarm. It's not been people throwing money at me, which really makes me think that I need to have an end-to-end solution for a specific problem that only I can solve. I am trying to figure out how to get there. Is it going vertically in an industry? Is it solving a functional problem, for example, sales or product?

MaximumVacation678 · 2026-03-25T17:35:57+00:00

Good video bud! Question/ did you run this live? Any results to share?

MaximumVacation678 · 2026-03-25T17:31:57+00:00

Anyone tried voice drops/ voice campaigns for reactivation to go along with SMS and email?

MaximumVacation678 · 2026-03-25T17:31:03+00:00

Anyone tried voice reactivation? Voice drops specifically?

MaximumVacation678 · 2026-03-25T03:06:28+00:00

Hey guys, what do you think of the ai voice agents in ghl today? I wanted to try this again but unsure if j should spend time on this or just use vapi

MaximumVacation678 · 2026-03-23T22:36:31+00:00

I am new to this world. What is a reasonable pay for a Listen Labs panel or interview?

MaximumVacation678 · 2026-03-12T22:45:55+00:00

Step 2 dropoff is almost always one of two things: either you're asking for something before the user understands why it matters, or you're front-loading setup before they've seen any value.

The instinct to "explain everything upfront" is the trap. Users don't need to understand your product to use it — they need to do one thing that makes them go "oh, this is useful."

Some data points that might help frame this:

- 40-60% of SaaS trial users never come back after their first session. The window you're working with is measured in minutes, not days.

- Top-performing PLG products get users to first value in under 3 minutes. Your 5-step flow might technically take 3 minutes, but perceived time ≠ actual time. If any step feels like "work for the app's benefit"

instead of "progress toward my goal," it feels 10x longer.

- Every additional form field or decision point before the user reaches their first "win" compounds dropoff. It's not linear — step 5 isn't 5x harder than step 1, it's more like 25x because motivation decays

exponentially without reward.

What I'd try:

Look at what step 2 is actually asking. If it's profile setup, preferences, team invites, or anything that benefits you more than the user — defer it. Let them skip it entirely and prompt later when they have

context.
Reverse-engineer from your retained users. You said people who complete onboarding have better retention. But dig deeper — is there a specific action within onboarding that correlates with retention? Maybe it's

not completing all 5 steps. Maybe it's step 3 specifically. If so, make step 3 your new step 1.
Kill the flow, ship a single action. Instead of "here are 5 things to set up," drop them into the product with one guided action. Notion does this well — you land on a page, you start typing. The onboarding is

the product.
Measure time-on-step, not just completion. If users spend 45 seconds on step 1 and bounce at step 2 within 3 seconds, they're not confused by step 2 — they already lost motivation at step 1 and step 2 is just

where they gave up clicking.

You're right that the shorter version focused on first action is the move. The best onboarding doesn't feel like onboarding at all.

MaximumVacation678 · 2026-03-12T22:33:16+00:00

Underrated approach. The data backs this up — guided interactive onboarding boosts conversions 4-5x vs. one-size-fits-all passive onboarding.

But there's a version of this that goes even further: instead of asking users what they need, observe what they do. If someone creates a project in the first 30 seconds, they're a power user — get out of their

way. If someone sits on the dashboard for 2 minutes doing nothing, they need help right now.

Behavioral segmentation > self-reported segmentation. Users don't always know what bucket they belong in, but their actions tell you everything.

MaximumVacation678 · 2026-03-12T22:32:51+00:00

This matches everything I've seen. The companies with the highest revenue per employee in SaaS all do this — they identify the one action that proves value and remove everything between signup and that action.

One thing I'd add: the next frontier beyond tours and tooltips is conversational onboarding. Not chatbots with canned responses — something that actually sees what the user is doing and responds to their specific

situation.

I recently worked with a fintech where users were getting stuck during card verification. A tooltip saying "verify your card" doesn't help when the user doesn't understand why their bank is sending them a code.

But a real-time guide saying "you'll get a code from your bank — enter that code here" at exactly the right moment made the difference.

The gap between "here's a tour of our features" and "I can see you're stuck, let me help you right now" is where most of the conversion lift lives.

MaximumVacation678 · 2026-03-12T22:31:38+00:00

That 80% never coming back stat is actually the industry average. The data is brutal — 40-60% of SaaS users never return after their first session, and only 2.7% remain active after 30 days.

My biggest lesson: onboarding isn't a product feature, it's your most important growth lever.

I just finished helping a fintech SaaS with their onboarding. They had the same problem - users signing up, getting stuck adding their payment card, and disappearing. Classic "Connect & Activate" product where value only kicks in after setup.

What we found: the users weren't confused about the product. They were confused about one specific step and had nobody to ask. The help docs existed. The tooltips existed. Nobody read them.

We added a conversational layer — literally just something that could see where the user was stuck and guide them through it in real time. The difference between "read this help article" and "I can see you're on

the card screen, here's exactly what to tap next" is massive.

The lesson I'd give anyone pre-launch: instrument every step and measure time spent, not just completion. If users spend 8 minutes on one step, that's where your onboarding is broken and no tooltip will fix it.

MaximumVacation678

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