Jan 18, 2023, 10:30 AM ETInterview, Fireside Chat

Hila Qu: The Ultimate Guide to Product Growth at Your Startup | 20VC #967

Transitioned from a biology major who caused lab explosions to an MBA holder, then to a data analyst, finally becoming a Growth Product Manager at a small startup.
Joined Acorns to lead the entire growth team as VP of Growth after the company launched its core "Roundup" feature (investing spare change).
Recently joined GitLab to build their growth team from scratch before transitioning to a Growth Advisor role.
Defines growth as a discipline using scientific methods (data, experimentation) to sustainably grow business KPIs (revenue, users, retention).

Channel Evolution: Started with organic word-of-mouth powered by product love, then layered on paid Facebook ads (early wave), paid referrals, and diversified into other paid channels.
Funnel Structure: Implemented a "full funnel" team comprising marketing, growth product, analytics, design, and engineering to manage the entire user journey from acquisition to retention.
Facebook Optimization (2018-2019): Conducted daily standups to monitor app store rankings and competitive moves; utilized cross-functional teams for rapid brainstorming.
Creative Testing: Launched new ads daily, testing celebrity endorsements (e.g., Cameo partnership) versus native ads featuring "ordinary people" (e.g., gas station stories), finding the latter more effective.
Viral Mechanics: Tested math-based ads asking users to calculate compound interest (e.g., 1 cent today, 2 cents tomorrow) which grabbed attention despite low accuracy.
Referral Pitfall: Implemented monthly promotional campaigns with extra monetary incentives ($50 bonus for 5 friends) that drove volume but degraded long-term user quality as saturation occurred.
Failed Initiatives: Sponsored NASCAR and distributed content on established financial media without seeing direct lift; Pinterest and Snapchat were hard to scale compared to Facebook/Google.

Channel Diversification: Double down on a single working paid channel (Facebook, Google, or TikTok) first before diversifying; do not get "cute" too early.
Viral/SEO Importance: Layer organic growth strategies (content SEO, viral approaches) alongside paid channels to build defensibility against algorithm changes.
Growth Team Definition:
- B2C: Typically includes user acquisition, lifecycle marketing (CRM), growth product, and data analysts, often reporting to the CPO or CEO.
- B2B: Requires broader cross-functional collaboration with Sales and Marketing due to complex buying journeys (3-month cycles vs. 3-minute app downloads).
First Hire Timing: Hire an experienced Growth PM or Lead Growth PM (not a VP) before Series A if the product relies on viral loops or network effects (e.g., collaboration tools).
Agency vs. In-House: Do not outsource core growth model discovery to agencies; use agencies only for scaling specific paid channels or filling specialized gaps (e.g., creative production) after the founder establishes the growth architecture.
Growth Advisor Engagement: Advisors help define the "growth architect" and strategy but must be paired with an internal executor to drive implementation; compensation is typically a blend of cash and low-dilution equity (e.g., 0.1%–0.2%).

Job Description: Must define the specific growth model, initial loops, and focus KPIs (e.g., activation, onboarding, conversion) rather than generic responsibilities.
Interview Process:
- Use a take-home assignment where the candidate analyzes the hiring company's current user journey and proposes three experiment hypotheses.
- Ask about "unexpected experiment results" to test humility and analytical depth; a lack of failed experiments is a red flag.
- Red flags include ego, rigid mindsets (relying on outdated playbooks), and lack of data literacy.
First Week Objectives: Assess data tools, review historical initiatives, meet stakeholders, and listen to customer calls.
First Month Objectives: Identify a specific growth metric to focus on, launch quick-win experiments, set up communication channels with stakeholders, and fix data infrastructure gaps.
First Quarter Objectives: Formalize the growth model, build a recurring experimentation cadence, establish a system of records for documenting learnings, and nurture a growth culture.

Data Readiness: Early-stage founders should replace Google Analytics with modern product analytics tools (Amplitude, Mixpanel, Plausible) and implement a rigorous tracking plan; B2B data foundations are often less mature than B2C.
North Star Metric: Defined as the intersection of business objectives (revenue), user value, and strategic direction; should remain stable for years while input metrics (e.g., activation rate) are adjusted quarterly.
Funnel vs. Loop:
- Loops are strategic, compounding mechanisms (Viral, Content/SEO, Paid) that drive long-term growth.
- Funnels are the execution-level steps within loops (e.g., sign-up to invite) where conversion rates are optimized daily.
Knowledge Management: Document experiments (hypothesis, result, next steps) in accessible systems (e.g., Confluence, Google Docs) and proactively share learnings across teams to avoid repeating past failures.
Decision-Making Without Data: In low-data environments (common in B2B), rely on qualitative user feedback and small-sample testing, accepting the risk of backfire while monitoring for negative trends.

China vs. US: The "Operation" role is dominant in China due to lower labor costs, where humans manually onboard users via WeChat groups rather than relying on product UX; WeChat acts as a super-app unlike the fragmented US ecosystem.
Common Failure Causes: Lack of a growth culture and insufficient data foundation are the primary reasons growth teams fail.
Current Success Stories: Hila cites ChatGPT for its revolutionary product-led viral loop and Miro for strong B2B product-led growth.
Biggest Personal Mistake: Moving too fast without securing stakeholder buy-in, causing resistance to implementing successful experiments.