Starting development without clear technical scope and ending up with cost overruns or a wrong-direction build?
Making a major architecture commitment -- cloud provider, database, framework -- without enough information to be confident it's right?
The most expensive software mistakes happen before a line of code is written. Committing to the wrong architecture, choosing the wrong technical approach, or building a product based on an assumption that a week of research would have disproved -- these decisions cost months of engineering time to reverse.
Product discovery and technical strategy is the structured process of validating assumptions, making the critical architecture decisions, and producing a concrete build plan before committing to full development.
Architecture decisions made before they become expensive to change
Build-vs-buy analysis for key components with honest cost-of-ownership estimates
Technical scope defined with enough precision to get a reliable fixed-price quote
Output: a concrete, costed build plan you can act on immediately
Software projects don't fail evenly. They fail at the moments when expensive assumptions are discovered to be wrong: the team is 6 weeks in and realises the API they're building against doesn't expose the data they need; the architecture that worked for the MVP isn't compatible with the scaling requirements they agreed to later; the third-party dependency they chose for speed has licensing terms that prevent the commercial use case.
Each of these failures is a technical decision that should have been made -- or at least examined -- during technical strategy. A 3-week strategy engagement that surfaces one of these issues pays for itself many times over.
For each significant architectural decision -- data model, API design, authentication approach, cloud infrastructure, real-time vs. async processing -- we document the options considered, the criteria used to evaluate them, and the rationale for the choice made. This creates a record that's useful throughout the project and beyond.
For each component where build-vs-buy is a real question -- identity and authentication, payment processing, search, data warehouse, AI/ML infrastructure, communications -- we evaluate the options with honest total cost of ownership including integration cost, operational cost, and vendor risk.
Translating product requirements into a technical scope precise enough to estimate and quote. User stories with acceptance criteria, data model sketches, API specifications, and integration requirements. The level of detail that eliminates "scope creep" as a cause of cost overruns.
Identifying every system the product needs to integrate with, mapping the data flows, and assessing the integration complexity. This is where discovery most often surfaces timeline and cost surprises that wouldn't have shown up until mid-development.
Selecting the technology stack based on the specific requirements -- performance targets, team capabilities, operational model, and long-term maintenance considerations. Documenting the rationale so the decision is understood by the team building and maintaining the product.
A phased development roadmap that sequences the build from foundational infrastructure through MVP to full product. Each phase has a defined scope, a time estimate, and a cost range. This is the plan a development team can execute against.
Tell us what you're planning to build. We'll run the technical strategy engagement and give you the build plan.
Product Discovery Phase -- Business and user validation before technical strategy
Fractional CTO Advisory -- Ongoing technical leadership beyond a single engagement
Custom Software Development -- Execution after the strategy is defined
AI Consulting -- Where AI creates value in your specific operation
Tell us what you're planning to build. We'll run the discovery engagement and give you a concrete, costed build plan.
Frequently asked questions
The engagement produces three outputs: a validated product scope (user stories, wireframes, and acceptance criteria that define what gets built), a technical architecture document (stack selection, system design, integration map, and the key architecture decisions with their rationale), and a costed build plan (a phased development roadmap with time and cost estimates at sprint-level granularity). These outputs are the inputs to a fixed-cost development contract -- they're precise enough to quote against.
The product discovery phase service focuses on business and user validation -- understanding the problem, validating assumptions with users, and defining the product requirements. Product discovery and technical strategy adds the engineering layer on top of that: which technical approach fits the requirement, what the architecture should be, which components to build vs. buy, and what the development plan looks like in detail. For teams that have already validated the problem and need to make the technical decisions before committing to build, this engagement is the right starting point.
Technical strategy is most valuable for: founders without a technical background who need to understand the implications of technical decisions before committing to a development partner; CTOs evaluating a major re-architecture or new product build; businesses that have been burned by scope creep or wrong-direction builds and want to de-risk the next project; and companies making a significant build-vs-buy decision for a core capability.
A focused single-product technical strategy engagement takes 2--4 weeks. For complex multi-system products or platforms with significant integration requirements, it takes 4--6 weeks. The output is precise enough to produce a fixed-cost development quote.
A focused single-product engagement typically runs $8,000--$20,000 depending on scope complexity. The engagement cost is credited toward the development project if you build with us. The investment is typically recovered in the first sprint of development through scope clarity and fewer direction changes.
Yes. We're a development company that runs discovery engagements as the first phase of a development project. Unlike pure strategy consultancies, we have skin in the game -- we're designing a system we're likely to build, which means we design for buildability, not just theoretical elegance. If you choose to build with a different team, you take the discovery output with you.