flolabs technology

Use Case #1: Technology Product Launch Consulting | Go-to-Market Strategy

A holding company with a $200M budget sought expert technology consulting for a new market entry. Facing a lack of internal expertise and skepticism towards internal strategies alone, they partnered with Flolabs Technology staff to develop and execute a comprehensive product launch strategy.

DISCOVERY

-- Established clear timelines, brand vision, and budget, creating a framework for robust short and long term planning.

-- Addressed executive alignment challenges and identified key capabilities to overcome obstacles and leverage differentiating strengths.

DESIGN

-- Proposed a modular product launch strategy, breaking the larger vision into manageable phases. A key to success was a rapid minimum viable product (MVP) launch, while still planning for future integrations to maximize product differentiation.

-- Strategy was reviewed with each executive individually and as a group. The CTO (integration focus), CMO (consistent brand vision), CPO (immediate revenue), and CEO (executive alignment with flexible levers) all appreciated an independent opinion and focus on their objectives.

DELIVERY

-- Provided hiring and training support as 50 developers, marketing, product, and sales staff were on-boarded.

-- Produced supplemental thought leadership content to support the company's demand generation efforts, resulting in $1 million total contract value from B2B prospects.

Use Case #2: AI Product Optimization | Transparency & ROI Enhancement

A well-established B2C technology company with an existing AI product sought to improve its performance and customer adoption. Dissatisfied with limited transparency, generic B2B features, and a lack of ROI visibility tied to market share, they engaged Flolabs Technology staff for AI product optimization.

DISCOVERY

-- Audited existing AI product, analyzing its architecture, data sources, user experience, and market positioning.

-- Identified key areas for improvement, focusing on enhancing transparency, incorporating B2C customer-centric features, and developing a robust ROI measurement framework.

DESIGN

-- Proposed a roadmap to promote explainable AI, providing users with clear insights into the product's decision-making processes.

-- Features add to the backlog included B2C best practices, focusing on personalized user experiences, intuitive interfaces, and proactive customer support.

-- Presented custom specifications to engineer an automated market share analysis module, integrating external data sources to provide real-time ROI insights tied directly to market performance.

DELIVERY

-- Collaboration with internal product, AI, and engineering teams improved explainable AI functionalities, resulting in a 10% increase in net promoter scores.

-- B2C user experience improvements led to a 15% rise in active users.

-- Automated module for market share analysis enabled persistent tracking of ROI, demonstrating marginal attribution of each product improvement and a total 5% gain in market share within six months of product launch.