Mind Consulting

BACKGROUND

Introduce your business and what you do there.

I’m the product manager of Resolve Já Brasil Tecnologia, a home services marketplace.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Mind Consulting?

The home services market in Brazil is highly fragmented, informal, and historically driven by word-of-mouth referrals — which excludes service providers without an existing network and leaves homeowners dependent on unknown professionals with no guarantees whatsoever. We needed to build from scratch a digital platform that would digitize this entire chain: provider registration and verification (ID, background checks, certifications), a service request system with geolocation-based matching by category and availability, a competitive quoting flow, a verified post-service review system, and escrow payments released only after the client confirms completion. The central technical challenge was delivering a seamless experience for two very distinct user profiles — the homeowner (who wants simplicity) and the service provider (who needs professional tools for schedule and billing management) — within a single cohesive, scalable ecosystem.

SOLUTION

What was the scope of their involvement?

Mind Consulting built the entire platform from scratch, with no ready-made or white-label solutions. They handled the full end-to-end scope — it was never just development. From the outset, they were involved in every layer of the project. On the design side, their UX/UI designer ran user research sessions with real homeowners and service providers before producing a single wireframe. That research directly shaped the product decisions throughout development, and it’s reflected in outcomes like the 84% of clients who spontaneously cited the verified review system as their primary trust signal — that kind of result doesn’t come from a team that only writes code.

Infrastructure was also entirely their responsibility. They architected and configured the full AWS environment, including PostGIS for geospatial queries and Redis for real-time matching cache. One of the more tangible outcomes of that work was an AWS infrastructure cost that came in 28% below our initial projections — a direct result of the architectural decisions they made, not off-the-shelf defaults.

The ongoing support piece is worth clarifying with some nuance: the engagement was scoped as a product build, not a managed service retainer. That said, they were never the type of team to hand over a ZIP file and disappear. Throughout the seven months, every sprint included live demos and structured retrospectives, and any issue that surfaced — including the performance risk identified in Sprint 5 around geolocation matching under high provider density — was proactively flagged and resolved by them before it became our problem to manage. The codebase they delivered has test coverage above 80% and complete technical documentation in Confluence, which made post-launch operations significantly easier on our end.

To answer directly, design, development, and infrastructure were all within scope and fully delivered. Ongoing support in the traditional sense was not part of the original contract, but the quality and transparency of how they worked made the transition to independent operation smooth.

Specifically, Mind Consulting delivered: (1) a responsive web portal in Next.js for end clients, featuring category and geolocation search (Google Maps API), a structured service request form by demand type, a quote comparison system, and verified provider reviews; (2) an iOS and Android mobile app (React Native) for both clients and providers, with real-time push notifications for new requests, quote acceptance, status updates, and completion confirmation; (3) a provider web dashboard with full schedule management, active and historical job tracking, a map of open requests in their service area, payment statements, and fiscal documents; (4) a geolocation-based matching system with a prioritization algorithm based on distance, availability, rating, response time, and review volume; (5) an escrow payment system integrated with Stripe and PIX, holding funds until service confirmation and automatically releasing payment to the provider after client review; (6) a provider verification module: ID validation, criminal background check integration, and qualification certificate upload; (7) a robust review system with a photo of completed work, overall rating, and criteria-specific evaluations (punctuality, quality, communication, cleanliness); (8) an internal admin dashboard with category management, registration moderation, request analytics, active coverage map, and NPS indicators by city; and (9) AWS cloud infrastructure with auto-scaling, PostgreSQL database with PostGIS for geospatial queries, and Redis for real-time matching cache.

What is the team composition?

We worked with 6–10 teammates from Mind Consulting.

How did you come to work with Mind Consulting?

We found them through an online search. We chose them over other options because they had high ratings, their pricing fit our budget, they had a great culture fit, they offered good value for the cost, they were referred to me, and their company values aligned with ours.

What is the status of this engagement?

We worked together from August 2024–February 2025.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

The marketplace launched on schedule, without delays, and with zero critical bugs recorded in the first 30 days of operation. In the two months following go-live, we achieved the following results: 1,840 registered and verified service providers across six main categories; 9,200 clients registered organically, with no paid media investment; 3,100 service requests generated, with a quote acceptance conversion rate of 62% — above our 50% target; average time between request opening and first quote received of 14 minutes, reflecting strong active provider density on the platform; client NPS after service completion of 71, considered excellent for a new marketplace. Technical performance was equally solid: average app load time of 1.1 seconds, uptime of 99.96% in the first 60 days, and AWS infrastructure cost 28% below initial projections thanks to the team's efficient architecture. The verified review system — which requires a photo of the completed work as evidence — was spontaneously cited by 84% of clients as the primary reason for trusting the platform.

Honestly, the quantitative results met or exceeded every target we had set going into launch — conversion rate, provider density, NPS, infrastructure cost, and uptime all came in at or above our projections. So in terms of hard metrics, there were no shortfalls.

How did Mind Consulting perform from a project management standpoint?

The project management was exemplary in every respect. We used an agile methodology with Scrum 2-week sprints, and well-structured ceremonies: planning, async daily standups via Slack, sprint reviews with live demos of developed features, and biweekly retrospectives. The PM maintained a quarterly roadmap updated in real time on Notion, with epics, user stories, and detailed acceptance criteria — which greatly facilitated alignment between the technical and product teams. All communication was handled transparently: when they identified a performance risk in Sprint 5 related to geolocation matching queries under high provider density, the architect presented that same week a technical analysis comparing three PostGIS indexing approaches, including cost, development time, and user experience impact. We chose the best solution together, and the adjustment was implemented without any impact on the overall schedule. No deliverable was made with hidden technical debt — the delivered code has test coverage above 80% and complete technical documentation in Confluence.

What did you find most impressive about them?

Two aspects stood out remarkably. The first was their maturity in two-sided marketplace design: they understood from the outset that a home services marketplace needs to solve the chicken-and-egg problem — you need providers to attract clients, and you need clients to attract providers. The PM proposed a pilot-neighborhood onboarding strategy (rather than a city-wide launch) that significantly increased active provider density in the launch area and generated the first conversions within 48 hours of go-live.

The second was the quality of the provider experience: most marketplace platforms in Brazil treat the supply side as secondary. Here, the provider app received the same UX care as the client app — with an intuitive dashboard, smart notifications, and schedule management tools that increased provider response rates by 40% in the first 30 days.

Are there any areas they could improve?

The chat module between client and provider, available after quote acceptance, was delivered in a functional but relatively basic version in the first phase. In an in-person services marketplace, pre-execution communication is critical for aligning details, materials, and arrival time. We’re already developing version 2.0 with real-time chat, photo sharing, and live provider location tracking during transit. The team delivered exactly what was in the agreed scope — it simply would’ve been even better to prioritize this module in phase 1.