Discovery and validation
Interviews, journey mapping, and assumption tests that confirm the problem is worth solving before full build budget commits.
Product Development
We combine product strategy, design, and engineering in one delivery rhythm, so each sprint answers a business question and moves you closer to launch with measurable learning.
01The work
Product development is not a handoff chain from consultant to designer to developer. Codeaxes runs discovery workshops, tests assumptions with prototypes, and ships MVPs scoped to learn, not to impress investors with feature breadth. UX/UI decisions are tied to activation and retention metrics defined upfront. After launch, analytics and customer feedback feed a prioritized backlog so continuous improvement is operational routine, not a post-mortem talking point.
02Problems
01
Teams build features stakeholders request without validating user demand.
02
Design and engineering work from different requirements, causing rework late in sprints.
03
MVPs are over-scoped, delaying market feedback by months.
04
Launch happens without analytics baselines, so success is argued from anecdotes.
05
Post-launch iteration stalls because the original agency left no institutional knowledge.
06
Investors and leadership lack visibility into product risk before major spend.
03Capabilities
Interviews, journey mapping, and assumption tests that confirm the problem is worth solving before full build budget commits.
Information architecture, interaction design, and visual systems that prioritize comprehension and task completion over decoration.
Clickable prototypes and technical spikes that de-risk feasibility questions early.
Minimal feature sets engineered for reliability and instrumentation, not throwaway code discarded after demo day.
Go-to-market coordination, feature flags, support readiness, and rollback plans so launch day is boring in the best way.
Event tracking, funnel analysis, and experiment design that turn usage data into backlog priorities.
04Workflow
01
We align on target users, jobs-to-be-done, and kill criteria, what evidence would stop the project responsibly.
02
Experiences are tested with users on realistic tasks; findings adjust scope before engineering estimates harden.
03
Engineering delivers the smallest lovable product with logging, error tracking, and feature flags from the first release.
04
Staged rollout, support scripts, and monitoring dashboards prepare the team for real traffic and real feedback.
05
Weekly metric reviews and customer input convert into a ranked backlog for the next development cycle.
05Fit
7 sectors
Tools we actually operate
06Use cases
Validate pricing and core workflow with paying design partners before scaling engineering headcount.
Discovery and UX for an adjacent feature set, integrated into current architecture without disrupting stable customers.
Research-driven redesign and phased feature rollout to recover retention without alienating power users.
Operator-facing tool designed with the teams who will use it daily, reducing adoption friction and shadow IT workarounds.
07Work
SaaS and Technology
Northline needed one analytics workspace model for self-serve teams and enterprise accounts without maintaining parallel codebases or fragile permission hacks.
Provisioning timeHours → minutes for standard enterprise workspaces
Open study
Education and EdTech
Lumen Learn launched a cohort-paced learning platform with instructor analytics and LMS integrations for corporate training programs that outgrew generic tools.
Admin onboardingNew cohorts launched without manual roster CSVs
Open study
Ecommerce and Retail
Harbor Commerce needed a headless storefront and inventory layer that kept web, mobile, and marketplace channels aligned through peak promotional periods.
Catalog consistencySingle source across web, app, and marketplace feeds
Open study
Healthcare
CareLoop unified patient intake, messaging, and appointment status in a portal patients could trust on mobile, while giving care teams a console aligned to their workflow.
Intake completionHigher same-day form completion on mobile
Open study
08FAQ
Product development emphasizes discovery, validation, and iteration metrics throughout. Custom development often starts with a clearer build spec. Many engagements blend both as uncertainty decreases.
The smallest experience that delivers core value to early adopters, with analytics to measure activation and retention, not every feature on a long-term roadmap.
Yes. We embed with your PM and leadership, bringing design and engineering capacity while keeping decision authority where you want it.
Typically within the first two to three weeks of engagement, enough to test critical assumptions before major build spend.
We partner with product-led startups, scale-ups, and enterprise teams building SaaS, regulated platforms, commerce systems, and operational software. Engagements range from greenfield products to modernizing systems that already serve paying customers.
Most projects begin with a structured discovery phase: current architecture, users, constraints, and the decisions the software must enable. From there we propose an engagement model, focused discovery, a dedicated squad, or a longer product partnership, matched to scope and internal capacity.
Yes. We frequently embed with in-house engineers, designers, and product managers. We align on branching, review standards, and ceremonies so the collaboration feels like an extension of your team rather than a parallel track.
We work remotely with overlap across US and European time zones. Day-to-day communication happens in your preferred tools, Slack, Teams, Linear, Jira, with written summaries, async updates, and scheduled reviews for stakeholders who need a broader view.
We can, after a technical and delivery audit of the codebase, infrastructure, and open risks. We will be direct about what is salvageable, what needs hardening, and what should be reworked before new feature work accelerates.
Open roles are listed on the Careers page in two tracks: Codeaxes for product engineering, and Kuroaxe for marketing. Each posting is published from our hiring workspace and includes the team, location, and how to apply. If you do not see a matching role, send a note through Contact.
Success means production-ready software your team can operate: documented architecture, tested critical paths, observability in place, and knowledge transfer completed. We optimize for continuity, not dependency.
Timelines depend on scope, integration complexity, and regulatory constraints, not a generic template. A focused MVP might span a few months; a multi-tenant platform or regulated workflow often spans quarters. We provide a phased roadmap after discovery, not before.
Discovery maps users, workflows, data models, integrations, and non-functional requirements. Deliverables typically include a prioritized backlog, architecture direction, risk register, and a recommended phasing plan with milestone definitions.
Phased delivery is our default. We identify the smallest slice that proves value, often an internal operator tool or a limited customer cohort, and expand from a stable core rather than betting everything on a single cutover.
We expect product learning after real usage. Change is managed through transparent backlog reprioritization, impact assessment on architecture and timelines, and agreement on what moves out of the current phase versus a follow-on increment.
Unclear decision ownership, late integration access, and underestimated compliance or data migration work are the usual culprits. We surface these early in discovery so stakeholders can resolve them before build velocity matters.
Many clients retain a squad for iteration, reliability work, and new modules. Continuation terms are scoped to a rolling backlog and agreed capacity rather than an open-ended retainer without outcomes.
We do not publish fixed price lists because meaningful work varies with integrations, compliance, and existing technical debt. After scoping, we propose pricing tied to an engagement model, time-and-materials squad, milestone-based phases, or hybrid structures for discovery plus delivery.
Discovery engagements clarify scope and architecture before major build spend. Dedicated squads provide ongoing design, engineering, and QA capacity aligned to your roadmap. Product partnerships suit longer horizons where Codeaxes shares accountability for outcomes across multiple releases.
Discovery is often a distinct, bounded phase with its own deliverables and fee. It reduces downstream rework and gives both sides a shared basis for estimating build phases. For smaller, well-defined scopes, discovery may fold into the first delivery increment.
We can when requirements, integrations, and acceptance criteria are stable enough to fix scope. For novel or regulated products we usually recommend phased contracts so learning from early releases informs later estimates.
A squad typically includes engineering leadership, full-stack or specialized engineers, QA, and design collaboration as needed. Composition adjusts to your stack and gaps, mobile-heavy products weight iOS and Android; data-heavy products weight pipeline and analytics skills.
After discovery or a technical review of your materials, brief, existing codebase, and integration list. Estimates describe assumptions, exclusions, phasing, and what would trigger a re-estimate so there are no surprise conversations mid-sprint.