AI PMF Offering

Prove Product-Market Fit — Fast, Evidence-Based PMF Sprints for Enterprise SaaS

Get investor-grade PMF signals and a clear activation plan in 4 weeks. We run targeted buyer interviews, the Sean Ellis PMF instrument, and focused synthesis so you can confidently convert pilots to paid contracts.

Signal in 4 weeks
Investor-grade one-pager
Pilot → Paid playbook

PMF Sprints — what we deliver

A productized engagement focused exclusively on measuring and proving product-market fit for enterprise software that hasn’t yet scaled. We emphasize decision-unit discovery, procurement signals, and first-value activation.

Signal

Sean Ellis PMF core measure + targeted enterprise sample to quantify how many users would be “very disappointed” without your product.

Synthesis

Segmented PMF by buying role and company size, activation funnels, and feature importance that predict pilot-to-paid conversion.

Action

Investor-ready PMF one-pager, prioritized experiments to increase pilot conversion, and a short playbook to operationalize findings in GTM and product.

PMF Sprint — 4 weeks (standard)

  1. Week 0 — Align: Goals, target decision units, and pilot criteria; stakeholder interviews (1–2 calls).
  2. Week 1 — Fieldwork: 12–30 targeted buyer interviews + focused PMF survey using Sean Ellis question (sample calibrated to enterprise decision units).
  3. Week 2 — Analysis: PMF scoring, segmentation (role, buying unit, company size), feature importance, and activation funnel correlations.
  4. Week 3 — Action plan: PMF one-pager, prioritized 3 experiments to increase pilot→paid conversion, and an investor-ready summary.

Optional: a small A/B pilot on the highest-leverage experiment (extend sprint by 2–4 weeks).

Deliverables (PMF sprint)

  • PMF one-pager (Sean Ellis metric, segmented results, confidence intervals)
  • Activation correlation map — which onboarding events predict “very disappointed” users
  • Top 3 experiments (pilot design) to increase pilot→paid conversion
  • Investor-ready summary slide you can include in decks
  • Appendix: survey instrument & anonymized interview excerpts (sample deliverable example).

Sample PMF deliverable (example)

Inspect a sample PMF study format and outputs we use to present results. This PDF is an example of method and layout only.


Open sample PMF deliverable (PDF)

Outcomes & KPIs

What success looks like:

  • Clear PMF signal: % “very disappointed” among decision units and targeted buyer roles.
  • Activation metrics tied to PMF (first-value events correlated with PMF scores).
  • Recommendation to improve pilot→paid conversion by X% (projection based on experiments).

Pricing & offers

PMF Sprint — standard (4 weeks)

Fixed-price delivery: PMF one-pager, activation experiments, and investor summary. Contact us for quote — we tailor to scope and sample needs.

PMF + Pilot (6–8 weeks)

Includes a short A/B pilot of the highest-leverage experiment to measure impact on pilot→paid conversion. Custom pricing.

FAQ — PMF Sprints

How many interviews/surveys do you run?

Standard sprint uses 12–30 targeted interviews plus a focused PMF survey calibrated to the decision units you care about. We optimize for signal quality over raw N.

Will this help pre-revenue startups?

Yes. Our approach is designed for small-n, high-signal enterprise samples that reveal decision-unit behavior and procurement signals important to pilots and early deals.

What exactly is the Sean Ellis question you use?

We use the canonical Sean Ellis PMF core question (“How would you feel if you could no longer use this product?”), combined with role and procurement segmentation to measure PMF among buying units relevant to enterprise purchase cycles.

Ready to get a PMF signal you can show investors and sales?

Book a quick discovery and we’ll propose the right PMF sprint for your product and buyer universe.


Book a 15-min PMF discovery

Method & sample deliverable provided by DevelopmentCorporate. The linked PDF is an example of PMF study output: /mnt/data/Reccy AI PMF Study.pdf. Replace with your hosted asset URL before publishing.