Will solve your task related to product launch or implementation of generative AI in an hour or a series of hourly consultations.
With what can I help you
Starupts
⭐ Research - I can help validate your market, competitor, and user research, or assist in designing them to determine if it's worth pursuing.
⭐ Business Model - I can validate or help build your unit economics from scratch and create a forecasted P&L/plan for testing your business model.
⭐ MVP - I can validate or build the right MVP based on value and metrics, and assist in assembling the first version using no-code/low-code tools.
⭐ Analytics - I can validate or help set up analytics to ensure that launching MVP isn't just for show, but for collecting clear data and understanding future decisions.
⭐ Marketing - I can advise on where to find the first 1000 users and gather quality feedback from them.
Business
⭐ Analytics - I can validate or calculate your cohorts from scratch to show where you're losing money when trying to scale.
⭐ AI - I'll explain how to integrate Gen AI into your product and processes and how you can earn more through cool product activations or reduce operational costs.
⭐ Scoring - I can validate your backlog scoring or build one from scratch. I'll help establish the right prioritization system for systematic product/business growth.
What result will you get
Based on my experience, I have systematized a list of changes that occurred in my and others' companies after working with me
❌ Research: before
The team lacks understanding of the product's target audience and why they would buy it. Market size and competitors' successes are not researched, and decisions are made based on SimilarWeb metrics at best
Business model: before
You don't understand how to calculate the business model, create a sales plan, etc. You approach everything blindly, relying on a "wait and see" approach
❌ MVP: before
You don't know how to build an MVP without developers and end up hiring expensive contractors who miss deadlines. In other words, you're "building the product," and it's taking a long time, or you're planning to do so
❌ Analytics: before
You launch the product to "see what happens" without clear analytics and understanding of what needs to be measured. You don't grasp which data to rely on when making decisions
❌ Marketing: before
You don't know where to find your target audience and first users. At best, you plan to make a couple of posts on your social media channels and start buying traffic where everyone else does
✅ Research: after
The team systematically researches the target audience and their needs, focusing on developing solutions rather than just adding features. Market and competitor analysis are systematized and inform decision-making processes
✅ Business model: after
You have the basic business model scenarios in the form of unit economics and know how you will earn money and how much you can spend on customer acquisition
✅ MVP: after
You assemble the MVP yourself using no-code tools or hire affordable and fast no-code freelancers. You release the first version within 1-2 months and get instant feedback from your early adopters
✅ Analytics: after
You have at your disposal a model of analytics system that enables gathering the necessary metrics and a clear plan based on the launch results for making further decisions
✅ Marketing: after
You have a systematic plan to acquire the first 1000 users from non-obvious channels to gather metrics and feedback on the product, even if you don't have a marketing budget
With whom have I already worked
All logos are clickable - you can visit the website and read more about the company. These are only 1/4 of all the companies; the rest are less known or closed at the idea stage