90% Faster Market Insights with AI:
A Product Manager’s Case Study Using LAILA

Feras, a Technical Product Manager at VBRL (a 50-person development company serving blockchain and AI clients), faced a recurring bottleneck: spending weeks on market research before each new product development cycle. This is a common product manager market validation challenge.

"My clients come to me with technology ideas but lack vision.  They say 'we want to use AI' or 'we want blockchain' without understanding the market opportunity.  I was spending a month going through focus groups and manual research just to validate basic concepts."

Working with enterprise clients including SingularityNET and developing products ranging from automated SME solutions to healthcare platforms, Feras needed faster, more reliable market intelligence to guide strategic decisions and client recommendations.

Feras discovered LAILA through peer recommendations in the AI community and was immediately drawn to its regional specificity and structured research methodology.

Key Features That Made the Difference:

• Agentic Audience Research: Deep insights into specific customer segments without traditional focus groups

• Regional Targeting: Precise market data for MENA region, specifically UAE and Saudi Arabia

• Structured Reports: Comprehensive analysis covering market size, competitive landscape, and go-to-market strategies

• Technical Understanding: Superior comprehension of complex AI and blockchain concepts compared to generic tools

Challenge: Validate market opportunity for automated booking and scheduling system targeting beauty salons and healthcare SMEs in the Middle East.

LAILA Process:

• Market Research: Quantified pain points in non-integrated systems

• Customer Segmentation: Identified ideal customer profile in healthcare/beauty sectors

• Competitive Analysis: Mapped direct and indirect competitors

• Go-to-Market Strategy: Developed region-specific approach

Outcome:

"It gave me the analytical information I was looking for specifically... exactly how many people we could target in this region.  ChatGPT was giving us ballpark industry numbers, but not the target segment.  LAILA goes into depth section by section."

As an AI specialist, Feras appreciated LAILA's superior system prompts and contextual understanding:

"LAILA prompts are specifically set up for market research, where ChatGPT or Claude do generic basic research. LAILA is focused on the product and consumers, which was the bonus that brought me back."

Key Differentiators:

• Agentic Methodology: AI agents provide unbiased market feedback

• Structured Output: Section-by-section analysis vs. generic paragraphs

• Technical Comprehension: Deep understanding of complex product concepts

• Source Credibility: Clear data provenance and methodology

ROI & Ongoing Value:

• Time Savings: 90% reduction in research time = ~15 hours saved per project

• Cost Avoidance: Eliminated need for $10K+ consulting engagements

• Revenue Acceleration: Faster client onboarding and project initiation

Strategic Value:

• Enhanced Client Relationships: Data-backed recommendations increase trust

• Market Expansion: Regional insights enable targeted growth strategies

• Competitive Positioning: Superior market intelligence vs. generic solutions

Feras is now expanding LAILA usage across his organization:

• Team Training: Introducing LAILA to development teams for project scoping

• Client Integration: Including LAILA insights in client pitch presentations

• Process Optimization: Building LAILA research into standard project workflows

"If you can double down on the go-to-market strategy insights, this is a killer game changer.  Nobody else does this well at all."