Activation Funnel Diagnostic

Example 1: SaaS Tool with Empty-State Problem

Situation: A B2B analytics tool has 1,200 users sign up per month. Only 180 (15%) reach the aha moment (generating a first report). The team has funnel metrics but no survey data.

Process summary: 1. Aha moment confirmed: "user generates and views first analytics report" 2. Funnel metrics read: account creation (78%), workspace setup (61%), first data connection (42%), first report generated (15%) 3. Activation flow read: "first data connection" requires users to input API credentials or upload a CSV — no sample data available 4. Channel-segmented table built: paid search channel drops from 61% to 28% at "first data connection"; organic drops to 48% 5. Highest drop-off: "first data connection" — 490 users lost, 42% completion rate; paid search 2.2× worse than organic 6. Structural inference (no survey data): users are asked to provide credentials before seeing any product output; the product looks empty until connected; users arriving from paid ads may have lower intent than organic 7. Friction decision: add positive friction — the product requires users to set up before experiencing value; offer a sandbox dataset so users can generate a sample report before connecting real data 8. Experiments ranked: (1) add sample dataset for demo report — low effort, fast signal; (2) add progress bar showing "one step away from your first report" — low effort; (3) simplify API credential input form — medium effort; (4) add short video showing a completed report at the connection step — medium effort

Output:

Example 2: Consumer App with Mid-Funnel Drop

Situation: A recipe and grocery app has 8,000 weekly installs. Funnel: app open (100%), browse items (72%), add to cart (48%), enter payment info (31%), first purchase (19%). Team has exit survey responses from users who reached the cart but did not purchase.

Process summary: 1. Aha moment confirmed: "user receives first grocery order as expected" 2. Funnel metrics read: steepest absolute drop is "add to cart → payment info" — 17% of all installs lost (1,360 users/week) 3. Activation flow read: payment info step requires new credit card entry and delivery address; no saved defaults; no indication of delivery fee until checkout summary 4. Channel-segmented table built: referral channel activates at 38% vs. paid social at 11% — large gap at payment step 5. Survey data analysis: top cluster (41% of responses) — users did not know whether delivery was free; second cluster (28%) — users forgot their first-order discount code 6. Friction decision: remove friction — users want the product (browse and cart rates are solid); specific information gaps are causing abandonment, not lack of understanding 7. Experiments ranked: (1) display delivery fee and first-order discount code automatically on cart page — low effort, addresses top two survey clusters; (2) simplify payment form with single sign-on (Google Pay/Apple Pay) — medium effort; (3) add delivery fee estimate earlier (browse screen) — low effort

Output: