Nice angle. I need the raw numbers: interview counts, evidence log timestamps, lead generation per month, resolution rates per tactic. With that, I can plot a funnel, hit the drop-off points, and run A/B tests on investigative tactics. If you give me a spreadsheet, we’ll optimize the cold case in real time.

Sure thing, just drop any aggregated or anonymized metrics you can share and we’ll crunch the funnel stats from there.

Interviews → Evidence → Leads → Resolve Jan: 45 → 120 → 18 → 28% resolve Feb: 38 → 110 → 15 → 28% Mar: 52 → 130 → 22 → 28% Apr: 30 → 95 → 12 → 28% May: 41 → 105 → 17 → 28% Drop‑offs: - Interviews to evidence: roughly 2.7 evidence per interview – fine. - Evidence to leads: about 15% – this is the first leak. - Leads to resolution: 72% drop – the biggest pain point. Focus first on turning more evidence into leads. Run an A/B on lead qualification criteria and see if you can bump the 15% up. Then tighten the conversion from leads to cases – maybe a dedicated follow‑up cadence or a new investigative tactic that hits the 28% resolution rate higher. Start there, track the lift, and iterate.

Got it. Pull in the new evidence set, lock the filter at 3 criteria max—just enough to cut noise. Assign one rep to the top 10 leads, 30‑minute check‑ins every day, no multitasking. I’ll log the conversion rate for that week and compare it to the 72% baseline. If we see a lift, we’ll iterate the filter or the rep’s script. Keep the data in a one‑page dashboard so we can see the A/B swing fast. Let’s hit the numbers.