The SideSwitch Process: From Idea to Launched Product in Weeks

SideSwitch is an independent digital agency in New Delhi, India. We design and build websites, full-stack web apps, SaaS products, and AI automation. We started the studio in 2023 and run four service lines: Design & Experience, Web & App Development, SaaS & Product Development, and Automation & AI Systems. Below is exactly how we take a product from the first conversation to a live launch, usually in weeks.

Most agencies keep their process vague on purpose. We do the opposite. Once you understand how a build actually runs, you can judge whether the team you hired knows the work before you're three invoices deep. So here it is, phase by phase, laid out the same way we run real client projects like Nritya, Choolha Chowka, and BAU AI.

How does a development agency build a product?

Four phases: discovery, design, build, launch. Every project we run has that shape. What shifts is the weight on each one. A marketing site for a lighting brand is heavy on design and light on backend. A subscription meal platform is the reverse, with deep engineering on billing and delivery logic. Same four phases, different center of gravity. The failure we keep seeing in other teams is skipping discovery to look fast, then rebuilding half the product two months later because nobody agreed on what it was.

Phase 1 — Discovery: what are we actually building?

Discovery is where we map the real workflows, not the wishlist. For Nritya, India's dance-tech platform, that meant modeling two very different users at once. Studio owners handle memberships, trials, and workshops. Students hunt for a class in their city. Those two flows have to meet in the middle without stepping on each other, and we draw that architecture before anyone opens a design file.

Discovery ends with three deliverables: a scoped feature list, a data model, and a rough timeline with the risky parts flagged. Payments, multi-tenant data, an AI pipeline — if your project has one, we name the risk early. For BAU AI's construction platform, the risk was ingestion. An agent scans 150+ procurement portals daily and pulls out RFP requirements. We architected that pipeline first, because everything downstream depended on it working.

How long does discovery take?

A few days to a week on most projects. It's the cheapest phase to spend time in and the most expensive one to rush. A decision made here saves weeks later.

Phase 2 — Design: how do we make it feel like one thing?

We design for how a thing moves, not just how it sits in a static frame. Our work leans on Next.js and React with motion built in GSAP, so we design already knowing the interaction. For Alemeno we built an enterprise-grade marketing site with smooth-scroll and custom interaction models to carry their AI case studies. For One Brand Outfit, a streetwear label, the brief flipped the energy: stark black-and-white, editorial photography, product as the only hero.

When a project has both a marketing surface and a product surface, we build one design system that spans both. BAU AI needed a sleek landing page and a data-heavy internal dashboard that read as the same company. One system, two very different screens. That's a Design & Experience deliverable, and it's what stops a growing product from turning into a patchwork six months in.

Phase 3 — Build: how does the engineering actually happen?

We build full-stack. Frontend, backend, database, integrations, the parts nobody sees. For Choolha Chowka's tiffin service we wrote custom subscription logic with pause and resume, Razorpay checkout, and order tracking that had to hold up under daily delivery volume. You don't drop that in from a template. It's real product engineering, sitting across Web & App Development and SaaS & Product Development.

We ship in working increments, not one big reveal at the end. You watch the product take shape and react while changes are still cheap. Reviewdale, an AI shopping advisor, needed a data pipeline that standardizes product facts and filters noisy reviews, plus a fast interface for side-by-side comparison. We built the pipeline and the UI in parallel so the interface was always testing against real, structured data instead of dummy content.

Where does AI and automation fit in?

When it earns its place. Our Automation & AI Systems work covers AI copilots, workflow and CRM automation, lead-gen, and content automation. On BAU AI we built Clara, an agent that reads RFPs and returns bid analysis in minutes. We add AI when it removes real hours of manual work. Not because it looks good on a brochure.

Phase 4 — Launch: what happens on the way out the door?

Launch is a phase, not a button. We deploy on architecture sized for the actual load. Nritya went live ready for hundreds of concurrent workshops and partnered studios. One Brand Outfit shipped ahead of a seasonal drop, tuned for mobile-first traffic. Before anything goes public we pressure-test the paths that break: payment flows, concurrent orders, real device behavior. Berry Software Solutions, a cloud POS we're building now, runs a closed beta to stress the system under high-volume retail before general release.

After launch we watch the numbers that matter — retention, checkout completion, load times — and tighten from there. A live product is where the useful data starts, not where the project ends.

So how long does the whole thing take?

A focused marketing site: a couple of weeks. A SaaS MVP with auth, payments, and a real dashboard: four to eight weeks, depending on scope. Larger platforms with AI pipelines or multi-tenant architecture run longer, and we say so up front. We move in weeks because we don't cut corners. We know our stack cold, our design system kills rework, and discovery kills bad decisions before they cost anything.

If you have a product in your head and want a straight answer on scope and timeline, book a call at cal.com/sideswitch or email contact@sideswitch.in. We'll tell you what it takes.