Product
Define north-star and supporting metrics
Map events to product decisions
Review dashboards with your team regularly
Product analytics for teams that need answers, not more dashboards
You have GA4, Mixpanel, or Amplitude installed. Leadership still asks questions nobody can answer confidently. We help you define what to measure, fix the tracking mess, and build an analytics practice your product team can actually use.
The challenge
You have data everywhere and clarity nowhere
Pageviews are up. Retention is flat. Product debates still happen in meetings because nobody agrees on what users actually do. Engineers added events ad hoc. Dashboards multiply. Every quarter someone proposes switching tools instead of fixing the plan underneath. The problem is usually not the software. It is what you decided to measure, and whether anyone trusts it.
From measurement plan to working instrumentation
Analytics planning and review is part of how we do product work, not a separate consulting deck. Product, design, and engineering aligned on what to track and why.
UX & Design
Instrument meaningful user journeys
Track completion, not just clicks
Connect qualitative research to quantitative signals
Development
Implement and QA event tracking
Clean up legacy instrumentation
Integrate product analytics with your stack
Featured work
Products where measurement shaped the roadmap
Trovata
Fintech startup, MVP through seed funding
Trovata needed to evolve from MVP to a product investors and customers could trust. That meant knowing which behaviors predicted retention, where users got stuck, and what to build next. Product strategy and measurement went together, not as an afterthought once the feature shipped.
Uqual
Manual business to semi-self-serve SaaS
Uqual converted a customer-service-heavy operation into a product users could move through on their own. That only works if you know where people drop off, what self-serve actually means in your funnel, and which metrics tell you the conversion story is improving. Analytics was part of the product design, not a report you pulled once a month.
Why teams work with Uptech Studio on analytics
Product-first, not BI-first
We start with the decisions you need to make, then work backward to events and dashboards. The goal is a clearer roadmap, not a prettier chart.
Taxonomy before tooling
Switching from Mixpanel to Amplitude will not fix inconsistent event names. We help you define a naming scheme, ownership model, and review cadence that survives team turnover.
Engineering included
We implement and QA tracking, not just document it in a spreadsheet your engineers never read. If the events are wrong in production, the strategy does not matter.
Honest about limits
Some questions need user research, not a funnel. We will tell you when data will not give you a clean answer and suggest what will, instead of forcing a metric where one does not belong.
Common questions
Do you implement tracking or just advise?
Both, depending on what you need. We often start with an analytics plan and event taxonomy, then implement and QA instrumentation alongside your team. If you have strong engineers, we can focus on strategy and review while they execute.
Which analytics tools do you work with?
Google Analytics 4, Amplitude, Mixpanel, Heap, PostHog, and custom pipelines. We use GA4, Amplitude, and AppFit on our own properties, so we know these tools from the inside. We are tool-agnostic: the plan matters more than the vendor.
We already have Google Analytics. Why is that not enough?
GA4 is good at traffic and marketing attribution. It is often weak at product questions: which features drive retention, where users abandon a workflow, whether a release actually changed behavior. Product analytics needs intentional event design tied to your app, not just page views and UTMs.
How long does an analytics planning engagement take?
A focused planning sprint can take two to four weeks: audit existing tracking, define metrics and events, prioritize fixes, and implement the highest-value instrumentation. Ongoing analytics review can continue as part of a broader product partnership.
Make the data worth arguing about
Looking for help making your product data trustworthy and useful? Let's talk about your current setup and what a realistic first fix looks like.
Get Started