# Traction Signal Analyzer > Identifies and frames your strongest traction signals for 2025-2026 investors — the metrics have changed completely and most founders are leading with the wrong data - Skill: `vodouai/traction-signal-analyzer` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add vodouai/traction-signal-analyzer` - Raw SKILL.md: https://api.skillmd.com/api/skills/vodouai/traction-signal-analyzer/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: VodouAI (https://skillmd.com/u/vodouai) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/vodouai/traction-signal-analyzer --- # Traction Signal Analyzer ## Overview The definition of "fundable traction" changed completely with the AI era. Pre-2022, seed traction meant revenue, DAUs, and month-over-month growth rate. In 2025-2026, those still matter, but they are no longer the primary signals. The new hierarchy: **depth of engagement beats breadth of adoption**. Three users who cannot live without your product beats 300 users who think it is fine. An L-shaped retention curve beats a flat line with 50% more users. Most founders are leading with the wrong metrics. This skill identifies your actual strongest signal and shows you how to frame it. **STOPPING POINT 1 — What stage are you at?** 1. **Zero users** — I have not launched yet 2. **Early users, no revenue** — I have users engaging but have not charged anyone 3. **Revenue but small** — Under $5K MRR or early paying users 4. **Growing revenue** — $5K-50K MRR with some consistency 5. **Strong revenue** — $50K+ MRR with retention data 6. **Consumer product** — I am measuring engagement/retention rather than revenue Reply with your number. --- ## Workflow 1: The Traction Signal Hierarchy ### Tier 1: Signals That Close Rounds These are the signals that cause investors to move quickly without needing much else. **L-Shaped Retention Curve** If week-4 retention (or month-3 retention for monthly products) is equal to or higher than week-1 retention for any cohort, you have something rare and powerful. It means users find more value over time — the classic indication of a habit-forming product. Most retention curves look like a ski slope: high at week 1, drops off, flattens at some level. An L-shape means the drop and flatten happen very quickly at a high level. **How to check:** Plot weekly active users by cohort. If the curve flattens above 40% after week 2-3, that is strong. Above 60% is exceptional. **Qualitative Density** 3 customers who say "this is the best product I have ever used" and will take a reference call > 300 customers who say "it's useful." This sounds soft but it is actually one of the most powerful signals in early fundraising. It means you have found the "must-have" users — the ones for whom your product solves a genuine, acute problem. **Organic Growth Coefficient** What percentage of your new users came from existing user referrals? If more than 30% of new sign-ups come from word-of-mouth with no paid acquisition, that is a viral coefficient that compounds. **STOPPING POINT 2 — Which of these Tier 1 signals do you have?** 1. **L-shaped retention** — My users stick around and come back at unusually high rates 2. **Rabid fans** — I have 3-10 users who are genuinely obsessed with the product 3. **Organic growth** — Most of my new users are finding me through existing users 4. **None of these yet** — I have some usage but not these specific signals 5. **Not sure — I need to measure these** — I'll walk you through how to calculate and present each one Reply with your number. --- ## Workflow 2: Tier 2 Signals ### Signals That Support Your Story **Waitlist + Activation Rate** If you have not launched publicly, a waitlist signal can be fundable IF: - You have 2,000+ people on the list (shows genuine interest) - More than 60% activate within 7 days of getting access (shows real demand, not vanity signups) - You can explain where the waitlist came from (organic > paid) **Usage Intensity (DAU/MAU Ratio)** Daily active users ÷ monthly active users. Above 0.4 means users engage nearly every day they are active in the month — a proxy for habit formation. - Below 0.1: Occasional utility product - 0.1-0.25: Regular but not habitual - 0.25-0.4: Good — users engage frequently - 0.4+: Strong habit signal (comparable to best consumer apps) **Zero Churn on Small Base** If you have 10-30 paying customers and none have cancelled, that is a powerful signal. Even at $500/month ARR total. It shows the product delivers enough value that people keep paying. **Net Promoter Score (NPS)** Above 50 is considered excellent. Above 70 is exceptional. Even with small sample sizes (20-30 responses), a strong NPS score is meaningful. **STOPPING POINT 3 — Do you have any of these Tier 2 signals?** 1. **Waitlist with strong activation** — I have a waitlist and have started measuring activation 2. **High DAU/MAU** — My users engage frequently relative to their monthly activity 3. **Zero or near-zero churn** — Nobody has left yet and it has been X months 4. **Strong NPS** — I have run NPS surveys with compelling results 5. **Revenue growth** — Consistent month-over-month growth even if small 6. **None clearly** — I have some activity but not these specific patterns Reply with your number. --- ## Workflow 3: Pre-Traction Signals (When You Have Almost Nothing) If you are early and the above do not apply, you can still raise if you have conviction signals. **STOPPING POINT 4 — What conviction signals do you have?** 1. **Letters of intent** — One or more companies or individuals have committed to pay when the product is ready 2. **Design partners** — 2-5 companies using the product weekly and giving detailed feedback 3. **Paid customer interviews** — You have paid people to do structured discovery (shows commitment to customer understanding) 4. **Prior success** — You or your co-founder have built and sold something before in a related area 5. **Unique access** — You have proprietary access to customers, data, or distribution that others cannot replicate 6. **Accelerator backing** — You have been accepted to YC, Techstars, or similar (they have done early diligence) 7. **None of these** — Honest answer: you likely need more proof points before raising Reply with your number. --- ## Workflow 4: How to Frame Your Traction ### The Data Storytelling Framework Even good metrics can be presented badly. Here is how to frame each signal type. **Revenue framing:** - Do NOT say: "We have $8,000 in MRR" - DO say: "We crossed $8K MRR last month, growing 35% month-over-month for the last 3 months from a small but high-intent customer base" **Retention framing:** - Do NOT say: "Our retention is pretty good" - DO say: "Our day-30 retention is 68% — meaning 2 out of 3 users who signed up a month ago are still active. Here is our retention curve." [show the chart] **Qualitative framing:** - Do NOT say: "Customers really like it" - DO say: "Three of our customers have referred us to their entire team without being asked. [Name] at [Company] said [direct quote]. We can connect you with them directly." **STOPPING POINT 5 — Would you like help framing your specific traction for a pitch?** 1. **Yes — let me describe what I have and you help me frame it** — Walk me through what you have and I will help you present it at maximum strength 2. **I want to understand what I am missing first** — Show me the gaps relative to what investors want to see 3. **I need to go measure these things** — Help me set up the right tracking and come back when I have data 4. **I think my traction is strong — I want a reality check** — Tell me your metrics and I will give you an honest assessment Reply with your number. --- ## The Honest Pre-Raise Checklist Before you raise, you should be able to answer yes to at least 3 of these: - [ ] Do you have at least one customer who genuinely cannot imagine going back to their old solution? - [ ] Is your week-4 (or month-3) retention above 30%? - [ ] Did at least 20% of your users come from word-of-mouth referrals? - [ ] Have you had 50+ customer conversations and can describe the exact customer profile who feels the most pain? - [ ] Is at least one metric getting meaningfully better month-over-month? - [ ] Can you articulate the specific reason your early users stay that most competitors have missed? If you cannot answer yes to any of these, the raise will be very hard regardless of your pitch quality. Build more before raising.