Grow digital products and experiences with generative AI platforms and data-driven strategy
With lean analytics and AI strategy consulting, we work focused on the indicators that most impact your product's results.
Product and digital experience growth requires connecting initiatives, from the start, to indicators that are relevant to the business. Beyond the final result as a target, we align research, design, data intelligence, and strategy to diagnose where to act at each stage of the AI-driven growth journey.
Studying the maturity stage of the product or experience, we work across multiple fronts to identify the most important metrics for the product at its current moment. Following lean analytics techniques, instead of monitoring and acting on dozens of indicators at once, we act focused on the single most important metric.
With specialists not only in identifying problems, but also in building solutions, we are a partner for conducting and applying data-driven improvements to digital products and experiences. More than offering dashboards and comprehensive diagnostics, our focus is on improving indicators and building growth journeys.
How our process works:
Context and product maturity analysis:
Using the five-stage methodology, we study the business moment and context to identify the product's situation.
Data value tree mapping and construction:
Translating the diagnosis and strategy into a hierarchical structure of measurable, actionable data.
Diagnosis and definition of the north star metric:
Selecting the key indicator based on impact potential and improvement opportunity, aligned with the product stage and company needs.
Experimentation sprints and improvement application:
Creating tests and potential solutions to improve the key indicator, validating strategy and impact on results.
Results analysis, validation, and work plans:
Comparing results, analyzing solutions, and validating the work plan to generate growth.
Squad definition and needs mapping:
Adaptation plan for the context and infrastructure, defining specialties and requirements to maintain company autonomy.
Roadmap with incremental improvement cycles:
Implementing a roadmap focused on incremental improvements, producing a continuous product growth journey.
How we use Artificial Intelligence to accelerate data analysis and strategic translation
The ongoing transformation of enterprise technology solutions and infrastructure has also reached data management. A central factor in decision-making, processes for mapping, prioritizing, and tracking key business metrics are being reconfigured.
Here at Taqtile, we not only follow this change closely — we have transformed how we work with data. The arrival of generative AI platforms allowed us to be even more precise in the interest that has always guided us: going beyond delivering dashboards and becoming a partner that acts on improving indicators.
Through proprietary frameworks, contextual research, and hands-on business onboarding, we use LLMs to accelerate how user data is translated and moved across contexts — business perspectives, strategies, and contextual data included. Rather than starting with comprehensive maps, we build focused from the outset on key business indicators. Our AI implementation services are designed to integrate with your existing infrastructure and grow with your results.
Want to understand what sets successful AI projects apart in practice? Read our article on the patterns that separate production-ready initiatives from those stuck in pilot.