framework

Design new market category.
Create value with AI.
Align product roadmap.

We align AI and product strategy to your new category and capture new market value.
category Strategy

Set your company vision

Identify a unique problem that only your company can solve.

Category Strategy

category point-of-view or strategic narrative for the problem
Identify the problem. ​

Explain ramifications of not solving the problem. ​

Declare your unique solution to the problem.

Describe the solution, vision for the future.
Name your category
Define the "container" for the problem​

Represent the market type, nature of the problem, and audience who has the problem.

Pick a unique name that other companies may want to use as they enter your market — having others come into your category helps you establish the category and your leadership position.
Create  category  'marchitecture'
Create a blueprint visual which illustrates the key components of the category — this will help when telling the category story and inform the category visual identity.

Visualize the key category components that can easily map to your product roadmap — this is how you align the category problem to your solution.

Launch your new category.  
AI STRATEGY

Capture new value with AI

We engage executive decision makers and product team leaders to arrive at your AI strategy — without the hype.

AI Strategy 

ASSESS
Understand the business problem to be solved with AI.

Define the business value for AI.

Review where generative AI and traditional AI could apply.

Review team, compute, licensing and model training resources.
Identify
Lead workshops to explore highest value generative AI and traditional AI use cases.

Evaluate the availability and quality of data relevant to your use cases, and whether data is available internally or externally.

Pick the top projects to AI-enhance your current solution, or brainstorm new AI-first product concepts.

Scope AI Market Requirements Doc (AI MRD) with KPIs.
Define
Review the latest best practices and platforms available for our chosen use cases.

Determine generative AI and traditional AI/ML tools and technology approaches to help select prototype.

Review computational resource requirements, expertise in AI/ML, and access to software frameworks.

Define KPIs to measure success of prototype, including content quality, efficiency gains and cost savings.

Scope AI Product Requirements Doc (AI PRD) for prototype which defines implementation roadmap.
Deploy
Build user-ready prototypes.

Hand-off prototype for development into customer-ready solution, or iterate the approach based on results.

Validate potential and KPIs.

Continuously monitor the performance and gather feedback for improvement.
Govern
Scope AI responsibility and risk management requirements, including contingency planning to mitigate risks.  

Determine your data governance strategy.

Build plan to ensure AI safety, accuracy, explainability and privacy.
PRODUCT STRATEGY

Align product roadmap

We go deep and analyze the following —
Product definition
Market analysis
Customer personas
Value proposition
Category-Product roadmap

Product Strategy

Review product definition
Understand the customer requirements​.

Review the specifications.​

Understand the key product metrics and KPIs.
Understand new market landscape
Define the competitive landscape​ with new category.

Review competitive features and positioning. ​

Update SWOT and competitive analysis.
Identify key personas
Identify key customer profiles.

Determine main customer jobs to be done.​

Identify the customer pains and gains or customer outcomes.
Determine the core value propositions
Outline how products and services help customers​.

Determine how products and services create desired outcomes.
Align your product roadmap to your new market category
Align product goals to category vision​.

Scope multi-year category-product roadmap plan.

Determine key milestones and outcomes.