Build a Market Intelligence Engine

Company Context

TalentForge Digital is a mid-sized digital engineering and talent solutions firm with $420M in annual revenue, operating across North America and Europe. Its business spans digital product engineering, cloud modernization, data/AI delivery, and specialized technology staffing. The company has historically grown through enterprise accounts in financial services, healthcare, and retail, but leadership believes the market is shifting quickly due to generative AI, offshore pricing pressure, and changing enterprise buying behavior. The CEO has asked the Strategy team to design a repeatable way to stay ahead of market trends and convert those insights into commercial action.

Strategic Situation

You are the newly hired Director of Strategy. Today, TalentForge tracks the market in an ad hoc way: sales teams share anecdotal client feedback, recruiters monitor compensation trends, and marketing reviews analyst reports quarterly. As a result, the firm is often late to emerging demand areas and slow to adjust pricing, hiring, and solution packaging. Leadership wants to know whether it should invest in a formal market intelligence capability and, if so, what that capability should prioritize over the next 12 months.

The decision matters now because the company must set next year's growth plan within 8 weeks. Management is considering a $2.5M annual budget for a centralized market intelligence program, but only if there is a clear case that it will improve win rates, utilization, and speed-to-market for new offerings.

Data Points

Additional market signals:

• The global digital engineering services market is estimated at $210B, growing 11% annually.
• The IT talent solutions market in TalentForge's core geographies is estimated at $95B, growing 4% annually.
• Three direct competitors launched dedicated GenAI engineering practices in the last 12 months.
• Average time to launch a new solution offering at TalentForge is 6 months; leadership wants this reduced to 3 months.

Deliverables

1. Assess whether TalentForge should build a formal market intelligence capability now, and define the business case.
2. Identify the most important trend domains the company should monitor across digital engineering and talent solutions.
3. Recommend a practical operating model: data sources, team structure, cadence, and outputs.
4. Explain how insights should translate into commercial decisions across go-to-market, hiring, pricing, and solution development.
5. Propose success metrics for the first 12 months.

Constraints

• Budget cannot exceed $2.5M annually.
• Initial implementation must begin within 90 days.
• Existing teams are siloed across Sales, Recruiting, Delivery, and Marketing.
• Leadership wants measurable business impact within 12 months, not a long-term research function.