Prelaunch Experiment Matrix: 10 High‑Signal Tests to Predict Product‑Market Fit in 30 Days

Start by picking 3–5 experiments from the matrix you can run in parallel with your available budget and capacity. Rank them for expected time‑to‑insight, signal strength (noise to decision ratio) and cost. Run experiments that trade-off speed and quality: landing pages and paid micro‑tests are fast but noisier; concierge MVPs and presales are slower but high‑fidelity.

Measure each test against predeclared acceptance criteria (not ‘we got clicks’). The decision is binary: build, iterate, or stop. For each experiment declare: primary metric (conversion to qualified interest or paid commitment), minimum sample size or number of qualified responses, timeline, and what constitutes a pass/fail that maps directly to a product decision.

Below are 10 tests ranked for founders who need a clear yes/no on demand in 30 days. Each test lists expected time‑to‑insight and a short template you can copy. Start with #1–#4 for fastest signals; use #5–#8 to validate willingness to pay and use #9–#10 for qualitative depth and enterprise signals.

These ranks reflect typical tradeoffs: landing pages and paid micro‑tests (rank 1–3) are quickest but require careful qualification to avoid ‘curiosity’ signals; concierge MVPs and pricing presales (rank 5–7) provide high‑fidelity willingness‑to‑pay evidence and user workflows. Use them together to convert volume signals into revenue signals.

Landing page template: headline that names the customer, 2–3 bullet pain statements, a single CTA (Join Waitlist / Buy Beta / Book Demo), and a short social proof or ‘why us’ line. Measure: visitor → CTA conversion, and CTA → qualified lead after a short qualifying form (3 questions). Benchmarks: a cold paid campaign converting 1% from PPC or 2–4% from targeted email is a reasonable sign of interest for early B2B ideas—interpret against your channel and price point rather than global averages.

Paid micro‑test template: one tightly matched ad creative + a variant of the landing page copy that tests the value prop. Keep CPC budget small ($200–$1,000) and run for enough impressions to get 50–200 clicks; compare CVR across variants to estimate message‑match. Use UTM tagging to track source → behavior and measure cost per qualified lead as the primary KPI.

Concierge MVP acceptance criteria: run manual delivery for N users (N=5–15 for B2B; 10–30 for B2C depending on complexity). Pass if at least 60–80% of these users request continued use within 14–30 days and 50% are willing to pay the target price or sign a short pilot contract. Document workflows, friction points, and time‑cost per user to estimate the engineering scope required to automate the process.

Pricing presale acceptance criteria: require a financial commitment (credit card charge, refundable deposit, or signed LOI). Pass if you reach a predeclared conversion rate—e.g., for a $100/mo product, 5–10 paying signups in 30 days from warm traffic or 1–3 pilot contracts in enterprise contexts. If presales fail but landing page interest was high, iterate on price, packaging or buyer persona and re-test.

Turn each experiment’s output into one of three decisions: Build (green), Iterate (amber), or Stop (red). Map numeric outputs to those labels. Example rule set: green = pricing presales hit target AND concierge MVP shows repeat usage; amber = high landing page interest but low willingness to pay; red = low interest across channels for multiple adjusted messages after two iterations.

Operationalize decisions with explicit next steps. Green → create a 90‑day roadmap focusing on automating the manual workflows proven in concierge tests. Amber → run 2 focused follow-ups (price swap + tighter persona) and re-evaluate in 14 days. Red → archive the idea, capture learnings and move to the next hypothesis. Keep all raw experiment data and customer call notes linked to the decision so you can reconstruct why you built what you did.