Grow Digital Products and Experiences with diagnostics, strategy, and data-Driven creation
Following a lean analytics approach, act with technology and data intelligence focused on indicators that impact the bottom line.
Dec 1, 2025
Product and digital experience growth relies on linking initiatives, from the start, to relevant business indicators. Beyond just the final result as a target, we align research, design, data intelligence, and strategy to diagnose where to act at each stage of the growth journey.
By studying the maturity stage of the product or experience, we work across multiple fronts to identify the most important metrics for the product according to its specific moment. Following lean analytics techniques, instead of monitoring and acting on dozens of indicators at once, we act focused on the most important metric.
Counting on specialists not only in problem identification but also in solution building, we are a partner to drive and apply data-based improvements in digital products and experiences. More than offering dashboards and comprehensive diagnostics, we are driven to improve indicators and create growth journeys.
Schedule a conversation and discover how we can act based on data to grow your business.
How our process works:
Context and Product Maturity Analysis:
Using the five-stage methodology, we study the moment and business context to identify the product's situation.
Mapping and Building a Data Value Tree:
Translating diagnosis and strategy into a hierarchical structure of measurable and actionable data.
Diagnosis and Focus-Indicator Definition:
Choosing a key indicator based on potential impact and improvement according to 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 the result.
Result Analysis, Validation, and Work Plans:
Comparing results, analyzing solutions, and validating the work plan to generate growth.
Squad Definition and Needs Mapping:
Adaptation plan to the context and infrastructure, defining specialties and needs to maintain company autonomy.
Roadmap with Incremental Improvement:
Implementation of a roadmap focused on incremental improvements, producing a continuous product growth journey.
How we use Artificial Intelligence to accelerate data analysis and translation into strategic data
The ongoing transformation of solutions and technological infrastructure in enterprises has also reached data management. A central factor in decision-making, processes to map, prioritize, and track important business metrics are being reconfigured.
Here at Taqtile, we not only follow this change closely, but we have also repositioned how we work with data. The arrival of the new paradigm allowed us to be even more precise in the interest that has always accompanied us: going beyond dashboard delivery and being a partner that acts on indicator improvement.
Using proprietary frameworks, contextual research, and business onboarding, we use LLMs to accelerate the translation and transport of user data, business perspectives, strategies, and contextual data. Instead of starting with comprehensive maps, we focus from the start on key business indicators.