Clarify scope and align to mission

Below is a senior-level, clarification-first approach that aligns on scope, users, goals, metrics, and a collaborative meeting plan. Where needed, I make minimal, explicit assumptions to keep the conversation concrete. 1) Restate and Scope - Restatement: We aim to increase meaningful engagement on Google Maps Group pages—spaces where members collaboratively collect places (lists), evaluate options (votes/reactions), and coordinate plans (e.g., pick a restaurant and go). - The feature direction (non-final) could include: better surfacing of relevant group activity, lightweight decision tools (polls/votes), "next best action" nudges, and group-tailored recommendations. - In-scope (near-term, measurable): - Discovery and relevance: ranking/surfacing of group activity on Group pages and in the Home tab. - Lightweight collaboration: reactions, polls, votes, and "propose a plan" flows tied to real places. - Notifications/recaps: opt-in nudges to advance a decision (e.g., "3 friends voted—pick a time?"). - Onboarding/invites: easier member addition for private groups; clear privacy defaults. - Experimentation and measurement: telemetry, cluster A/B by group_id, quality review. - Out-of-scope (initially): - Full messaging/chat, payments/ticketing, or complex events. - Large public communities, brand/advertiser pages, or SMB CRM use cases. - Ads/monetization changes and new social graph construction. - Safety review tooling beyond standard UGC pipelines (we’ll use existing integrity systems). 2) Users, Use Cases, and Focus Segment - Candidate user segments: - Individuals: friends/families planning private outings; hobby groups (hiking/foodie clubs). - Small businesses: shop owners curating lists for customers or organizing member groups. - Advertisers: promoting venues to groups (ad products). - Private vs. Public: - Private: invitation-only groups (low moderation burden, higher trust, sensitive privacy needs). - Public: open membership (higher scale but greater safety/moderation complexity). - View vs. Create: - View: consume recommendations and activity. - Create: propose places, vote/poll, finalize decisions, and log outcomes. - Selected focus segment (exactly one): Individuals in private groups (≤50 members) collaborating to decide and go to places (create + light interactions like votes/reactions). - Justification: - Strong mission fit: helps people organize local place information to make useful decisions. - Measurable real-world outcome: navigation starts by multiple group members soon after a decision. - Lower safety/privacy risk vs. public groups; faster to iterate. - Clear interference unit (group_id) for reliable experimentation. 3) Mission → Measurable Goal and Non-goals - Mission framing: "Organize the world’s local place information for groups so they can make decisions faster and follow through together." - North Star Goal (Outcome): Increase weekly group planning successes (GPS). - GPS definition: a group-week where at least one shared plan is finalized AND ≥2 distinct members start navigation to the selected place within T hours (e.g., 72h) of the decision. - Why: Captures real utility beyond clicks or time spent. - Supporting objectives: - Reduce time-to-decision for a plan by X% (median from first proposal to decision). - Increase meaningful interactions per active group-week (votes, adds, finalizations) without harming core Maps usage. - Non-goals (explicit): - Maximizing raw time spent or generic DAU without quality/utility. - Monetization/ad outcomes. - Growth of public content or creator follower counts. - Building a standalone social network or messaging replacement. 4) Success Metrics and Guardrails - Primary success metrics: - Weekly Active Groups with Meaningful Interaction (WAG-MI): distinct group_ids with ≥1 meaningful interaction (propose/vote/finalize) per week. - Formula: WAG_MI = |{group_id : interactions_week(group_id) ≥ 1}|. - Weekly Group Planning Successes (GPS): as defined above. - Decision Velocity: median hours from first proposal to decision per group-week. - Follow-through Rate: P(navigate | decision), measured as share of decisions with ≥2 member nav starts within T hours. - Adoption and engagement: - Feature Eligibility → Exposure → Use funnel: eligible groups, exposed groups, used groups. - Adoption Rate = used_groups / exposed_groups. - Per-group interaction depth: mean interactions per active group-week; share of members participating. - Quality and equity: - Content quality proxy: hide/mute rate of suggestions; undo/delete rate; satisfaction CSAT when available. - Equity across group sizes/locales: check HHI or Gini across GPS to ensure broad benefit, not just large/urban groups. - Guardrails (must hold or improve): - Core Maps health: no material drop in navigation starts per MAU (delta within pre-agreed bounds, e.g., ≥ -0.25% with 95% CI overlapping 0) and no increase in search abandonment. - Notifications hygiene: weekly opt-out rate for this feature ≤ baseline + threshold (e.g., ≤ +0.2 pp); mute rate and spam report rate not worse than baseline. - Integrity & safety: policy violation rate, spam rate, and user reports per 1k impressions at or below baseline; no leakage of private group info to non-members. - Performance: P95 page load latency and crash rate no worse than baseline (e.g., p95 < 2.5s, crash rate < 0.5%). - Privacy: no increase in accidental sharing outside the group; confirmed via privacy incident reviews and telemetry of share-outside-group events. - Experiment design notes: - Unit of randomization: group_id (cluster experiment) to avoid within-group interference. - Avoid cross-group contamination via members in multiple groups by stratifying or excluding heavy cross-over users in sensitivity analyses. - Power: pre-calc on GPS uplift; e.g., with baseline GPS = 3% of groups/week and MDE = +7% relative (0.21 pp), compute required groups for 80–90% power. - Duration: run ≥2 full weekly cycles to capture planning cadence; watch novelty effects and delayed navigation. - Analysis: intent-to-treat on exposure; per-protocol as sensitivity; CUPED or pre-period covariate adjustment for variance reduction. 5) 60-minute Collaborative Stakeholder Conversation Plan - Participants: PM (feature owner), Eng Lead, Design, Data Science, UXR, Integrity/Policy, Privacy, and, if available, Local Ops. - Goal: Align on target user segment, problem framing, success metrics/guardrails, and experiment plan. Capture decisions and owners. Agenda - 0–5 min: Purpose and success criteria for the meeting - Ask: "What problem are we solving for which users, and what decision must we leave with today?" - Show: One-slide objective and proposed decision(s). - 5–15 min: Users, use cases, and scope - Ask: "Are we focusing on private groups of individuals planning outings? Any critical exceptions?" - Show: User segment matrix (individuals vs SMB vs advertisers; private vs public; view vs create) and recommend the private-individual-create segment. - Confirm: In-scope vs. out-of-scope list; document rationale. - 15–30 min: Metrics and goals - Ask: "Does GPS (group planning success) reflect the utility we want? What timeframe T is practical (24–72h)?" - Show: Metric tree (North Star → supporting metrics → guardrails), definitions, and sample calculations. - Example: If a group decides Friday 6 pm, two members start navigation by Sunday 6 pm → counts as GPS. - Align: Target ranges/MDE for experiment; guardrail thresholds. - 30–45 min: Solution contours and experiment design - Ask: "Which MVP feature(s) deliver the biggest impact with lowest risk: better surfacing, lightweight polls, or recap nudges?" - Show: Strawman MVP: "Decision Assist" module with propose/vote/finalize, recap card, and minimal notif rules. - Align: Cluster randomization by group_id; expected runtime; power assumptions; logging requirements and schemas. - 45–55 min: Risks, privacy, integrity, and operational plan - Ask: "Any policy/privacy constraints on private groups (e.g., invite flows, data retention)? What’s our abuse escalation path?" - Show: Risk register with mitigations: interference, spam, notif fatigue, geographic bias, performance. - Align: Review guardrails and kill-switch or ramp criteria. - 55–60 min: Decision read-back and sign-off - Summarize: Segment, in-scope MVP, metric definitions, experiment plan, and guardrails. - Confirm: DRI/owners, timelines, and a short written decision log shared post-meeting. Artifacts to bring/show - 1-page brief with: problem, users, scope, metric tree, guardrails, experiment design. - Sample dashboards/mock telemetry: WAG-MI, GPS, decision velocity, notif health. - Event schema draft: proposal_created, vote_cast, decision_finalized, nav_start(group_member=true), notif_sent/opened/muted. Common pitfalls and guardrails - Interference: Resolve via group-level randomization and member cross-over sensitivity. - Proxy metrics overfitting: Keep GPS as outcome; use WAG-MI as a diagnostic, not the north star. - Notif fatigue: Cap frequency, measure opt-out/mute, and ramp cautiously. - Privacy leakage: Strict access controls and audit logs for private groups; test flows with red-teaming. - Displacement effects: Monitor core navigation/search; ensure no net utility loss. This plan demonstrates senior-level alignment: clear scope, explicit user focus, mission-linked measurable goals, robust metrics/guardrails, and a collaborative, decision-oriented stakeholder process.