From first idea and hypothesis to results: I work alongside you at every stage, help you prioritize, and see the project through to rollout.
We start with a short intro call.
I run research, frame and validate hypotheses, and shape a product’s positioning and economics.
I design AI solutions and orchestrate AI agents: I assign roles, set up how they interact, and review the output. I build working tools for product and business needs — from prototype to everyday use in a real workflow, without a dedicated engineering team.
From market research and hypotheses to an MVP and the first product iterations. So my advice comes from real work, not theory.
AI agents speed up development, while quality control and releases stay with a human.
Regular product health reports and instant failure alerts.
I use AI agents to build solutions and to test them.
Budget savings
More development and testing work gets done without growing the team.
I test AI solutions for correctness, robustness, and behavior across scenarios. Nothing counts as done until it’s been verified.
Lower risk
Errors are caught before launch instead of turning into extra costs and customer problems.
I put the solution into production with HTTPS, automated deploys, and monitoring.
Faster time to launch
The product moves from prototype to working service faster and starts being used in the business.
I design AI features around specific use cases and product goals, and evaluate the quality of model responses.
Higher product value
AI features solve specific user problems and make the product more valuable for customers.
I keep project context, decisions, tasks, and progress in a single system; I use Claude Design for design work and connect plugins for marketing, sales, and SEO.
Process efficiency
Fewer manual approvals, less lost context and rework — higher team speed and control.
Where to take the product and why — backed by data, not gut feel.
A system that separates signal from noise.
I design and build AI solutions for specific business needs.
Not sure where to start? Start with a one-session product or AI project review →
From SaaS and enterprise B2B to B2C startups and major retailers.
Target audience research, hypothesis validation, HADI cycles (hypothesis → action → data → insight), and customer interviews with 200+ users. Won a major client for the Kontur.Focus API — a deal that covered a large share of the team’s sales target.
An AI platform for industrial companies. Built 0→1 product and go‑to‑market processes: hypothesis testing framework, metrics, customer journey map (CJM), positioning, sales pipeline.
A social travel platform with an in‑app economy. Product strategy, roadmap, and prioritization; web analytics and metrics; customer interviews via a Telegram bot; A/B testing infrastructure; coordinating a cross‑functional Agile team.
Marketing process automation: the full campaign cycle, from analytics to launch across channels. Led the automation of promotions (Excel VBA, a team of two developers) and set up process guidelines and flowcharts.
Automates contact database workflows — from data preparation to initial outreach and handing contacts off to a sales rep. Helps marketing test hypotheses across customer segments and build a steady flow of qualified leads for sales.
Collects the information you need from specified sources, then processes and structures it according to set rules. Cuts manual data work and gets information ready faster for analysis, research, and business needs.
Anastasia developed an outreach solution for our team: sourcing contacts and sending messages. She figured out the technical side on her own, set up data processing, and built an app tailored to the needs of the AI Business Box project.
The solution covers contact database management, editable templates and message sequences, analytics, and a funnel. What matters to me is that we can track the results of each send and test different messaging options. Anastasia was personally involved in working with prospective clients, and that hands‑on experience shows in how the tool was built.
I’d also like to note how constructive the collaboration was: Anastasia showed us how the solution works, explained the settings, and took the team’s feedback into account. Throughout our discussions, she was willing to adjust features and simplify them wherever that helped us start using the tool sooner.
I’m happy with the work. We got a concrete tool that the team is already using to test outreach. Thanks to Anastasia for her independence, initiative, and practical approach to automation.
B2B sales to small and mid‑sized businesses at Ural Bank for Reconstruction and Development: I managed key clients from first contact through deal support. I was responsible for storing and reviewing client files under restricted access. This shaped a systematic approach to my work: verifiable data, risk control, and judging decisions by their value to the customer and the business.
Worked with SaaS, enterprise B2B, B2C startups and major retailers — from early MVPs to mature product systems.
I’m building my own AI product and testing approaches in practice. At this stage there’s no PMF yet, resources are tight and mistakes are costly. What matters most isn’t speed but accuracy — and a system that separates real signals from noise.
An independent view of your product: I distinguish real opportunities from merely attractive hypotheses.
Every stage ends with a concrete result that your team can put into practice.
We talk through where the product stands and what the top priority is.
Customer interviews, JTBD, segmentation — hypotheses grounded in real data.
HADI cycles and metrics: we find out what works and what only seems to.
Priorities, a roadmap, and ongoing support until we get results.
I assess your current product or process, identify key risks and constraints, and help you set priorities. You leave with a concrete plan of next steps.
A finished deliverable at a fixed price: an audit, a hypothesis testing framework, an AI agent, or an automation, handed off to your team with a user guide.
I act as a fractional 0→1 product lead inside your team — no full-time hire needed.
Full details and pricing — after a short intro call. I take on a limited number of projects at a time.
Knowing how to listen is a rare and valuable quality.
Smart, ambitious, and to the point, with experience as a product manager and in startups. Knowing how to listen is a rare and valuable quality. A focus on results — that’s what inspired me, as a creative person, and kept me organized while working with Anastasia. Thank you!
Thanks for the call — it was informative. I realized how important metrics are — which ones to track and why. I got a clearer picture of the sequence for testing hypotheses — what actions to take at each step, with criteria for success and failure.
No. I work with products at the 0→1 stage, whatever the technology.
First we get to know the business, the users, and the market; then we form hypotheses and test them. AI is a tool that helps speed up research, analysis, and solution development, but it isn’t a requirement for the project.
My experience spans SaaS, enterprise B2B, and retail products.
We can start at any stage: from an idea and early hypotheses to an existing product that needs improving or scaling.
If there’s no product yet, I help you validate the problem, understand your users, and decide what to build first.
If the product is already live, I help you find growth opportunities, sharpen your strategy, and map out next steps.
No. That’s normal at the 0→1 stage.
Early on, what matters isn’t the amount of data but understanding the user, the market, and the problem you’re solving. For that, we use interviews, market analysis, quick experiments, and demand validation.
Metrics and analytics get built out as the product grows.
It depends on the project.
My role is to help you find the right direction, test hypotheses, and build a product strategy. When needed, I can get more hands-on: from market research and shaping the concept to supporting the team through implementation.
I build AI agents and automation myself — from prototype to a working service built into your team’s workflows.
Yes.
We can start with a one-session product or AI project review or a specific task with a clear outcome.
That way, we can set priorities first and figure out which way of working will be most effective.
It depends on the scope and engagement format.
We set the exact format, timeline, and scope after a short intro call.
The first conversation is a short diagnostic: you walk me through where things stand, and I assess where the main growth opportunities are and how I can help.
After the call, you get a proposal with the engagement format, timeline, and price.
There’s no commitment until then.
A short intro call: we’ll go over your goals and current processes, I’ll show you what can be improved or automated, and we’ll see whether we’re a good fit.
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