Lancey

In today's data-driven environment, software platforms must continuously evolve to meet users' needs while optimizing business outcomes. This article explores how Lancey's Merlin platform revolutionizes feature management through advanced analytics and automation. From identifying high-impact feature requests to forecasting product usage, Merlin streamlines development prioritization and strategic planning.

Identifying and Prioritizing New Features

Lancey's Merlin platform employs a structured approach to identifying and prioritizing new features through integrated data analysis. The process begins with access to the Merlin agent and integration with multiple data sources including CRM systems, support tickets, call transcripts, product analytics, project tracking, and product documentation platforms.

Merlin automatically collects data from all integrated sources using the company's query, segment, and action capabilities. This initial data collection enables the identification of feature requests with the highest potential user impact and those most likely to improve overall user satisfaction.

By examining user requests and their potential to significantly enhance user engagement, the system generates a prioritized list of features. Each recommended feature is accompanied by an assessment of its potential impact on user engagement and satisfaction, along with suggested development timelines.

The tool provides actionable insights throughout the process, offering users a preview of the most impactful feature requests and their potential outcomes. This data-driven approach ensures that development resources are allocated to features with the greatest potential benefit to both users and the business.

Evaluating Existing Features

Merlin automatically collects data from all integrated sources using Lancey's query, segment, and act capabilities. This integration enables the platform to gather comprehensive usage data from product analytics, call transcripts, and support tickets platforms. Data collection occurs through automatic processes configured by the user, requiring minimal manual intervention.

The evaluation process consists of four key steps. First, Merlin requires access to the Merlin agent and integration with the necessary analytics, call transcripts, and support tickets platforms. Second, it sets up filters to collect data from all integrated sources. Third, it analyzes feedback and usage data to determine feature usage and identify improvement areas. Finally, it crafts targeted communications using Merlin's contextual understanding of users.

For feature evaluation, Merlin demonstrates its capabilities through a sample dashboard feature evaluation process. It collects feedback data from the past six months, providing a preview of feedback related to the specified feature. The tool then analyzes the data to determine feature usage and identify improvement areas. It uses Merlin's contextual understanding to draft specific emails inviting users to provide more detailed feedback, which it sends through the integrated email setup.

The platform provides robust feedback analysis capabilities, allowing users to track performance and gather insights over time. It identifies patterns and trends in user feedback, offering valuable insights for feature enhancement or deprecation decisions. Merlin also enables users to share feedback through targeted communications, facilitating more effective feature evaluation and improvement.

Automated Usage Forecasting

Merlin automates product usage forecasting through a structured three-step process. The first step requires access to the Merlin agent and integration with product analytics, CRM, and customer support platforms. Specific parameters define the forecasting scope and criteria.

The platform then automatically analyzes product usage data using Lancey's query, segment, and action capabilities. For example, it can predict future usage of a feature by users who have increased engagement by 20% in the last month. Based on these conditions, Merlin handles analysis, user identification, and forecasting.

Automated report generation and distribution follow the analysis phase. Merlin produces detailed usage forecast reports that are sent to the product team via email or shared documents. The reports include weekly predictions and cover multiple aspects:

• Monthly active users

• Expected usage increase

• Feature-specific forecasts

• User segmentation

• Infrastructure preparation recommendations

• Marketing campaign suggestions

These reports support informed planning and strategic decision-making for product teams by providing precise usage predictions and actionable recommendations.