Tactic 6:
ROI Estimation & Business Impact Forecast
Tips:
•
Provide realistic input data.
The quality of ROI estimates depends on accurate assumptions (traffic, conversion rates,
margins, etc.). If you’re unsure, ask colleagues or use analytics to get the numbers, then feed them to the AI.
•
Use ranges.
Have the AI calculate best-case, expected-case, and worst-case impact. E.g., “if uplift is 2% vs 5% vs 8%” –
this helps decision-makers understand the spectrum of outcomes.
•
Cross-verify any calculations.
Large language models can sometimes make arithmetic mistakes or misinterpret
percentages. It’s wise to double-check critical calculations with a calculator or spreadsheet. Treat the AI’s math as
helpful draft work that you will verify.
•
Emphasize strategic benefits.
ROI isn’t only dollars – you can ask the AI to list qualitative impacts (e.g., “improved user
experience, strengthens brand loyalty, learning can be applied to other pages”). This ensures your business case covers
both tangible and intangible benefits.
•
Keep enterprise compliance in mind if using real financial data in a prompt (see the checklist on Page 17). If needed,
round or anonymize figures when using a public model, or use a secure internal model for this analysis.
GenAI Quick-Win Playbook for Experimentation
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