Rangle

Product Development

Discover, Ideate, Validate

happy face and sad face
Mike Costanzo - SVP of Product & Design
Mike Costanzo

Lean Discovery: Shifting from Outputs to Outcomes by Finding & Fixing Customer Pain

So many software development projects start with high levels of uncertainty. Some of it is explicit, you many not know exactly who the target customer is and what they want, and some of it may be implicit, you have a great idea but are uncertain about the technical risks of delivering the experience or what the state-of-the-art is capable of and, as they say, you don't know what you don't know. In these cases we echo the words of "Ike" Eisenhower:

Align Product Strategy
Babbly App

An AI-enabled demo from concept to POC in just 2 weeks

See how

Related expertise

Agentic AI | Smart Experiences. Collage.

Agentic AI

Agentic Solutions

Apply AI to product problems. Agents, workflows, and smart experiences that reset customer expectations.

See how we help
Digital Roadmap

Digital Roadmap

Outcome-based Digital Roadmap

Define, design, and build with purpose through an approach centered on unblocking your digital ambitions.

See how we help
Illustration on a black background: a cream doorway with a red cube standing in its opening and two cream cubes already through it.

Customer and Partner Portals

Customer and Partner Portals for the Agentic Era

Portals that work for your customers, your partners and the agents acting for them, on rules you set and a platform you own.

See how we help

Ready to launch?

We take products from concept to market in weeks — with the engineering to scale.

Get in touch

Related case studies

TOM Design Collective

TOM Design Collective

How an Interior Design Firm Replaced a Legacy Platform in 4 Months With Agentic Development

How an interior design firm replaced a locked legacy platform with a modern operations system in 4 months using agentic development practices.

Case Study
Ipsen

Ipsen

Rebuilding the native Dysport dosing guide to a Progressive Web Application in 5 months

We rebuilt Ipsen's native Dysport dosing guide to a Progressive Web Application with Vue.js in 5 months.

Case Study

Three weeks to launch a scalable AI-powered marketplace solution with secure governance

In just three weeks, we built and deployed a secure human-in-the-loop matchmaking system for a service marketplace platform. Using generative AI and an open-source AI governance platform, the solution minimizes operational costs, accelerates lead response times, and scales without increasing headcount, with oversight, traceability, and control at its core.

Case Study
Nike

Nike

How We Built Nike's Personalized AI Shopping Assistant in Just 3 Weeks

How Rangle built Nike's personalized AI shopping assistant in 3 weeks: an 8-day proof of concept, 6,300+ SKUs auto-tagged in a day, and an end-to-end generative-AI build.

Case Study
MoveBuddy

MoveBuddy

Marketplace finds path to product-market fit in months, not years

Rangle and Movebuddy were able to build a marketplace and innovate on its business model in a matter of months, not years.

Case Study
Blue J Legal

Blue J Legal

Simplifying the work of tax professionals with a mobile app

Blue J Legal successfully launched its AI-powered research tool and acquired its first paying customers during their partnership with Rangle.

Case Study

Frequently Asked Questions

Rangle follows a three-phase approach: Discovery, Delivery, and Growth. Discovery validates the product concept through UX/design audits, customer research, and technical feasibility assessment, ensuring resources target products with genuine demand. Delivery uses agile methodology with experienced engineers and designers to build functional, reliable products through incremental releases. Growth focuses on optimization: refining products for key user behaviors, improving onboarding, and developing features that address emerging user needs through data-driven decision-making. This traction-first approach lets you validate ideas in weeks rather than months, providing a stable foundation for funding and growth before committing to full-scale development.

Rangle builds functional proofs of concept in 1 to 2 weeks using agentic development workflows. These are working products, not slide decks: real code, real user interactions, real data. For AI-powered products, we can deliver functional prototypes in as little as 2-5 days. This speed matters for two reasons: it lets you validate assumptions with real users before committing significant investment, and it provides tangible evidence for stakeholders and investors. We built a functional ML model demo for Babbly in 2 weeks that helped them secure pre-seed funding. The proof of concept isn't throwaway code. It's designed to evolve into the production product, so early investment in architecture pays forward.

A traction-first approach prioritizes evidence of product-market fit over feature completeness. Instead of building a full product and hoping customers want it, you build the minimum version that tests your core hypothesis, measure real user behavior, and iterate based on data. Rangle implements this by shipping narrow but functional products early, instrumenting them with analytics (we partner with Amplitude, PostHog, and Hotjar), and using the data to guide subsequent development. The result is that every feature you build has evidence behind it. This approach reduces the risk of building products nobody wants, the most common and most expensive failure mode in product development.

Yes. Rangle's Growth phase is designed specifically for products that need optimization rather than greenfield development. We start with a data-driven assessment: analyzing user behavior through analytics tools, identifying where users drop off or fail to adopt key features, and mapping the gap between current performance and business KPIs. Then we prioritize improvements that will have the highest impact, often onboarding optimization, feature discoverability, or performance improvements rather than new features. Many stalled products don't need more features; they need the existing features to work better for users. Our product-led growth approach focuses on driving adoption and retention through product experience improvements.

No. Rangle works with organizations at every stage of technical maturity. For startups and non-technical organizations, we provide end-to-end product development (strategy, design, engineering, and deployment) without requiring you to hire engineers. For organizations with existing teams, we work as embedded partners, augmenting your capacity while transferring knowledge. We also offer ongoing maintenance contracts starting from six months for organizations that need continuous development support without building an internal engineering practice. The engagement model adapts to your situation: some clients start with Rangle handling everything, then gradually build internal capability. Others maintain a long-term partnership where Rangle handles specific product lines or capabilities.

From the blog