ICP Intelligence February 2026: FP&A

Role in Finance & Legal

How is FP&A's role evolving, and what are their biggest challenges? The FP&A persona is undergoing significant transformation, marked by substantial increases in focus on Data (+0.73), Technology (+0.74), and Stakeholder engagement (+0.82) over the past six months. This shift highlights a desire to move beyond traditional roles, evidenced by a new top pain point: 'being seen as just a spreadsheet person.' While 'continuous learning and self-improvement' remains a priority, a new emphasis on 'democratizing access to technology for finance professionals' signals a push for greater tech integration. This population notably divides into two behavioral clusters: a dominant 'High-Technology / High-Growth' segment (71.0%) and a smaller 'Low-Technology / Low-Growth' segment (29.0%), suggesting a growing chasm in technological adoption and strategic focus within the profession.

AI-generated summary · February 11, 2026

Behavioral Factor Profile

Narrative
3.74
▲ +0.15
Operations
3.36
▲ +0.16
Data
3.64
▲ +0.69
Technology
3.07
▲ +0.91
Risk
3.21
Growth
4.29
▲ +0.38
Stakeholder
4.27
▲ +0.82

Scale: 1 (conservative) to 5 (innovative) · Arrows show 6-month shift

Factor Radar

Top Power Words

amazingexcitingimportantgrowthinfluence+ 10 morePRO

Thematic Intelligence

Priorities

sample
continuous learning and self-improvement
driving value for business partners
democratizing access to technology for finance professionals.
+ 12 more PRO

Pain Points

sample
being seen as just a spreadsheet person
finance professionals needing extensive training to code.
difficulty in quickly utilizing complex algorithms with own data.
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Success Metrics

sample
people coding machine learning algorithms in 10-30 minutes.
collecting over $100,000 from a customer using ai-written letters.
achieving 10 or 15% more efficiency using ai.
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Decision Frameworks

sample
framework for building prompts: teaching how to build prompts for own data.
sequential prompting: guiding users through structured conversational steps.
understanding the 'why': knowing the reasons behind methods for better analysis.
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Red Flags

sample
only learning surface-level application without understanding the 'why'.
not using ai to enhance analysis and workflows.
believing ai will take away all finance jobs.
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Behavioral Archetypes

71.4%
28.6%
High-Technology / High-Growth(71.4%)
Low-Technology / Low-Growth(28.6%)

Cluster quality: moderate · Full archetype profiles with factor comparison PRO

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