Strategy & Discovery
AI-accelerated product discovery, roadmaps, and go-to-market strategy — whether you're building new or assessing what AI already built.
Capabilities
What you get
A complete package to de-risk your next major product investment.
Our approach
Discovery phases
Four weeks of structured discovery that progressively narrows from problem space to validated solution.
Week 01
Problem definition
Stakeholder interviews, user research, and competitive analysis to build a shared picture
Week 02
Opportunity mapping
Map the opportunity space — jobs to be done, friction points, and white space scored by impact and feasibility
Weeks 03–04
Solution design
Design solution concepts and test them with real users — prototypes at this stage cost a fraction of post-dev changes
Week 04
Roadmap & business case
Prioritized product roadmap, go-to-market strategy, and business case with realistic projections
We came in thinking we needed a new platform. Kalinko told us we didn't — and they were right. The fix cost a third of what we'd budgeted and ran on day one.
Ideal fit
When to engage
Strategy & Discovery is most valuable at decision points: before a major product investment, when pivoting an existing product, before entering a new market, or when growth has stalled.
Ready to see what's possible?
Book a free 30-minute discovery call. We'll map your opportunities and give you a realistic ROI estimate.
Book a discovery callFAQ
Frequently asked questions
A structured 4-week process that validates your product idea before you commit development budget. We research users, map opportunities, test prototypes, and deliver a roadmap with a business case — evidence over guesswork.
Six key deliverables: user research report, opportunity landscape map, validated product concept (interactive prototype), prioritized feature roadmap (6–12 months), go-to-market strategy, and an investment model with revenue projections.
Our standard 4-week discovery is a fixed-price engagement. It's designed to cost a fraction of what you'd spend building the wrong product — typically 5–10% of full development investment.
Yes. We evaluate AI-generated prototypes and products to determine whether they're worth scaling, need significant rework, or should be rebuilt. This assessment is often the most cost-effective first step.
Before any major product investment, when pivoting an existing product, before entering a new market, when growth has stalled, or when preparing for investor conversations. 70% of digital initiatives fail from bad early decisions — discovery de-risks that.