September 22, 2025
4 min read
Gautam Bakshi
Author & Research Lead
Read time: 5 minutes
Target audience: Consulting Partners, Research Directors, Advisory Firms
Open your research team's calendar from last month.
Count the hours spent on:
Now multiply by their hourly rate.
If the number isn't shocking, you're not counting everything.
Here's what a typical "quick" market update actually costs:
The request: "Can you refresh our SaaS pricing benchmark?"
What happens:
Visible cost: 4 days of analyst time = $2,400
Hidden costs:
Real cost: $10,000+ for data that's outdated on arrival
Your top analysts didn't join to copy-paste pricing tables. But that's exactly what they spend 30% of their time doing. The result?
Monday: Analyst A defines "enterprise" as 1000+ employees
Tuesday: Analyst B defines "enterprise" as $100M+ revenue
Wednesday: Your client asks why the numbers don't match
Without encoded methodology, every analysis is artisanal. Pretty, unique, and impossible to compare.
Your competitor takes 2 days to turn around market intelligence.
You take 2 weeks.
Guess who wins the advisory mandate?
Speed isn't about working faster. It's about not starting from zero every time.
Every quarter: Update 10 standard reports
Time: 2 analysts × 2 weeks = 80 hours
Yearly cost: $48,000
Value delivered: Same insights, newer dates
Friday 4pm: "Need competitive analysis by Monday board meeting"
Weekend work: 20 hours across 3 people
Rush cost: $5,000 + team burnout
Quality: 60% of normal thoroughness
Request: "Same analysis but for US, UK, and Germany"
Reality: 3× the work, inconsistent sources, exchange rate chaos
Time: 3 weeks becomes 9 weeks
Cost overrun: 250% of estimate
Imagine your team's Monday morning:
Instead of starting research from scratch, they find:
Not because someone worked Sunday. Because you encoded your research methodology once, and now it runs automatically.
Turn implicit knowledge into explicit steps:
Before: "Check what competitors are doing"
After: "Monitor these 12 sources → Extract these 7 data points → Score using this framework → Flag if score changes >15%"
Humans should analyze and interpret.
Machines should gather and structure.
Static data is a commodity. Intelligence is the differentiator.
Your engine should:
Global Advisory Firm (200 consultants)
Boutique Strategy Consultancy (15 people)
Investment Bank (Coverage Team)
Most firms treat research like art—each piece handcrafted and unique.
The winners treat it like engineering—systematic, scalable, and repeatable.
Your clients don't pay for beautiful spreadsheets. They pay for insights delivered fast enough to act on.
Take this 2-minute assessment:
Your total hidden cost: $_____
If it's over $300K, you're leaving money on the table.
If it's over $500K, your competitors are already automating.
If it's over $1M, you need an engine yesterday.
Start with one repeated research task:
Build the engine in 2 weeks:
Keep paying $500K+ for manual research that's outdated on arrival.
Or build engines that run themselves, delivering better research faster and freeing your best people for strategic work.
Your competitors are already choosing. What about you?
Ready to find the $500K hidden in your calendar?
Build your first research engine in 2 weeks. Pick one workflow. Save 60% of time. Deliver insights that actually arrive on time.
[Start your prototype →]
15Rock helps advisory firms turn research methodologies into scalable engines. Better insights. Faster delivery. Higher margins.