Product Discovery & Idea Validation

🧩 1. Discovery Phase – Understand & Define

What Codersarts Does:

You collaborate with the client to extract clarity about the idea and business vision.

Activities:

• Client Workshops / Interviews

  • Understand business goals, pain points, and value proposition.

• User Persona & Journey Mapping

  • Identify target users, use cases, and pain points.

• Competitor Benchmarking

  • Research existing apps or AI solutions in the same domain.

• Market Landscape Analysis

  • Identify market gaps, pricing benchmarks, and potential differentiators.

Deliverables:

• Problem Definition Document

• Target User Persona Report

• Competitor Analysis Sheet

• Market Fit Summary

🧠 2. Ideation & Concept Validation

What Codersarts Does:

Brainstorm & refine solution concepts — focusing on practicality and uniqueness.

Activities:

• Solution Brainstorming Workshop

  • Present 2–3 possible solution concepts.

• Feature Prioritization

  • Identify must-have, nice-to-have, and advanced AI features.

• Technical Feasibility Study

  • Evaluate potential ML/AI approaches, datasets availability, model selection, and infra needs.

• Rapid Prototyping (Optional)

  • Create a no-code / low-fidelity wireframe or clickable prototype using Figma or Streamlit.

Deliverables:

• Product Concept Deck (idea summary + mockups)

• Technical Feasibility Report

• Recommended Tech Stack

• Prototype or Flow Diagram

⚙️ 3. Validation & Testing

What Codersarts Does:

Test assumptions before full-scale development — with real data, mock APIs, or pilot runs.

Activities:

• POC (Proof of Concept) Development

  • Build a small, functional POC to validate AI model or core feature.

• Market Validation

  • Collect user feedback through surveys, landing pages, or beta testing.

• Cost & Time Estimation

  • Estimate total development time, resources, and deployment costs.

• Risk Assessment

  • Identify technical, data, and market risks early.

Deliverables:

• POC Demo (Notebook / Web app / Streamlit prototype)

• User Testing Results

• AI Feasibility Validation Report

• Risk & Cost Analysis Document

💼 4. Output & Handover – Final Deliverables

At the end of the engagement, Codersarts provides a Discovery Summary Pack, which includes:

1. 📄 Business & Market Validation Report

2. 🧠 Technical Feasibility Document (with model options and tech stack)

3. 🧩 MVP Scope Document (phased roadmap with features)

4. 💰 Budget & Timeline Estimate

5. 🎬 Prototype / POC Demo (if included)

🧰 5. Tools & Frameworks Codersarts Can Use

💡 Engagement Model

Offer two clear packages for clients:

🔹 Basic Product Discovery (2 weeks)

Best for early startups or students with ideas

Includes: Requirement Gathering + Market Research + MVP Scope Document

💰 Price Range: $500 – $1,000

🔹 Full Product Discovery + Technical Validation (4–6 weeks)

Includes: All above + AI Feasibility, Prototype, Cost Estimate, POC Demo

💰 Price Range: $1,000 – $3,000

🔧 Example Use Cases

• Founder wants to build an AI resume screening tool but needs to validate if open-source LLMs can handle HR datasets.

• A client wants to test speech-to-text for regional languages before investing in a full MVP.

• Startup wants AI-driven personalization for eCommerce, but unsure about dataset and algorithm feasibility.