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AI Growth Advisor: AI-Powered Growth Strategy Tool

  • Blessing Okakwu
  • Apr 21
  • 6 min read

Updated: Apr 26

The Why

I've spent years working at the intersection of data and product decisions. As a business intelligence analyst, a product analyst, and before that as an accountant, I've sat in rooms where the data was clear but the path forward wasn't. Where a team had dashboards, reports, and weekly metrics reviews, and still struggled to answer the most important question: what do we do next?

That gap between analysis and action isn't a data problem. It's a strategy problem. And in my experience, it's one of the most expensive problems a product team can have.

What I kept observing was that the quality of growth thinking in a company had very little to do with how much data they had, and everything to do with whether someone on the team knew how to connect the data to decisions. The best product teams I worked with had that person. Most teams didn't.

I built AI Growth Advisor to encode that kind of thinking into a tool, not to replace the analyst, but to make structured, framework-driven growth strategy accessible to teams who don't yet have that capability in-house. The logic embedded in this tool, the three-state input design, the AARRR framework, the phased action plans, is the same logic a good growth consultant would apply in a client engagement. I know that because I've applied it myself. The technology makes it faster and more accessible. But the thinking behind it is human, and it's mine.

What It Is

AI Growth Advisor is a tool that takes information about a product, its description, target audience, and current metrics, and generates a consultant-grade growth strategy. Not generic advice, but contextually intelligent recommendations that adapt based on where the product actually is in its lifecycle. It's the kind of tool I wish existed when I was doing product analytics work and founders would ask me: "What should we focus on to grow?"

 

Who It's For

This tool is for anyone who is building or growing a product and wants to think more rigorously about growth — without needing a consultant in the room.

That includes early-stage founders who are pre-launch and don't yet know what to measure. It includes product managers at growing companies who want a structured framework for thinking about their funnel. It includes analysts and consultants who want a fast, well-structured first draft for a client conversation. And it includes anyone who has ever been asked "how do we grow?" and wasn't sure where to begin.

 

The Thinking Behind It

The most important decision in this project had nothing to do with technology. It was a product thinking decision. Most AI tools treat every input the same way. You describe your product, you get advice back. The problem is that a pre-launch founder and a founder with 10,000 monthly active users need completely different things. Giving them the same output is like a doctor prescribing the same treatment to every patient who walks through the door.

I designed the tool around three distinct situations:

  1. A new product with no metrics yet. This founder doesn't need a funnel analysis, they don't have a funnel yet. What they need is a starting point: which metrics to track from day one, why each one matters for their specific product, and a concrete 3-month and 6-month action plan. The advice needs to motivate, not overwhelm.

  2. An existing product with no metrics. This is the most common and most costly situation. A product is live, users are coming and going, and the team is making decisions without knowing what's actually driving behaviour. The tool responds with appropriate urgency, naming exactly what decisions are being made blindly, providing a full measurement blueprint organised by funnel stage, and delivering a 6-month growth plan based on what we do know about the product.

  3. An existing product with real metrics. Now the real analysis can happen. The tool assesses metric health across the funnel, diagnoses where the biggest leaks are, prioritises growth channels, recommends retention strategies, identifies revenue opportunities, and produces a ranked action roadmap benchmarked against industry standards.


This three-state logic means the output is always appropriate to the person's actual situation. That design decision came directly from my experience as a product analyst, from watching how good consultants actually listen before they advise.

 

What It Produces

The output is structured around the AARRR framework, Acquisition, Activation, Retention, Revenue, and Referral, the same framework used by growth teams at product companies worldwide. Every report is built around this structure because it mirrors how healthy products actually grow.


Depending on the inputs provided, the tool generates some or all of the following:

  • A tracking blueprint that tells you exactly which metrics to measure at each stage of your funnel, why each one matters for your specific product, how to capture the data, and what benchmarks to aim for. This alone is something founders often pay consultants to help them define.

  • A 3-month tactical plan broken down week by week, with specific actions at each stage of the funnel, from setting up analytics in week one to analysing and adjusting campaigns by week twelve.

  • A 6-month strategic plan with milestone targets and a primary growth lever to focus on each month, so you always know what the main priority is, not just what the options are.

  • A funnel analysis that identifies where users are dropping off, what that drop-off is costing the product, and what to do about it.

  • A growth strategy that prioritises acquisition channels based on the product type, audience, and stage, not a generic list of marketing tactics.

  • A retention plan with specific tactics, measurable outcomes, and realistic timelines tied to your actual product context.

  • Revenue opportunities ranked by effort and impact, so you know what to pursue first.

  • A priority roadmap of the top actions ordered by expected impact, giving you a clear starting point rather than an overwhelming to-do list.


After the main strategy is delivered, users can go deeper by clicking into focused follow-up analyses: Retention, Acquisition Strategy, First 30 Days, or Improve Activation. Each one takes the context already provided and generates a more detailed response for that specific area, so you're not starting from scratch, you're building on what's already been produced.

All of this can be downloaded as a clean, professionally formatted PDF report, branded, paginated, and structured like an actual consultant deliverable. Something you can take into a meeting, share with a co-founder, or present to an investor.

 

How to Use It

Step 1: Choose your product status Tell the tool whether you're working on a new product or an existing one. This is the first and most important input, it determines the entire shape of the strategy you'll receive.

Step 2: Describe your product Enter your product name, what it does, and who your target audience is. The more specific you are here, the more tailored your strategy will be. Vague inputs produce vague outputs, treat this like a brief you'd give a consultant.

Step 3: Enter your metrics (if you have them) If your product is live, enter the metrics you're currently tracking, website traffic, activation rates, retention numbers, revenue figures. If you don't have metrics yet, leave this section and the tool will account for that.

Step 4: Choose your AI engine Select which AI model you want to power the analysis. Groq is fast and free, ideal for quick strategies. OpenRouter gives access to a range of free models. OpenAI and Claude are premium options for deeper, higher-quality output. The choice is yours depending on what you need.

Step 5: Generate your strategy Hit generate. The tool works through your inputs and returns a full strategy report structured around the AARRR framework, typically in under two minutes.

Step 6: Go deeper Once your strategy is generated, use the focus buttons at the bottom of the report to drill into specific areas: Retention, Acquisition, First 30 Days, or Activation. Each one gives you a more detailed analysis for that part of your funnel.

Step 7: Download your report Export the full strategy as a PDF. It's formatted as a professional consultant report, clean, branded, and ready to share.

 

What This Project Represents

This project is a demonstration of how I think about product growth, not as a set of tactics to execute, but as a system to diagnose, design, and improve.

The decisions embedded in this tool reflect six years of working with data, products, and the people trying to build them. The three-state input logic, the AARRR structure, the phased planning approach, none of that came from reading about growth frameworks. It came from applying them, observing what worked, and understanding why.

For me, this is what good product analytics work looks like: not just measuring what's happening, but building the thinking that helps teams know what to do about it.

Demo Video


Built With

Next.js · Node.js · Tailwind CSS · Groq API · OpenRouter · OpenAI API · Claude API (Anthropic)


Link to the Growth Advisor: https://ai-growth-hacker.vercel.app

 

 
 
 

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