PRD Template for Social Media Products
A complete product requirements document template for social media product managers. Includes dedicated sections for content moderation, feed algorithms, creator ecosystems, platform safety, and the multi-sided dynamics that standard PRD templates ignore entirely.
Why social media PRDs require a different approach
Social media products are fundamentally different from single-purpose SaaS tools. You are not building for one user type with a clear job-to-be-done. You are building a multi-sided platform where creators produce content, consumers discover and interact with it, advertisers pay for attention, and moderators protect the community. Each group has different needs, and their incentives frequently conflict. A PRD that does not account for these tensions from the beginning will produce a product that optimizes for one side at the expense of others.
Content moderation is the defining challenge. Every social platform, regardless of niche, must handle harmful content, spam, harassment, and misinformation. The regulatory landscape is tightening globally: the EU Digital Services Act mandates algorithmic transparency and content moderation reporting, COPPA restricts features for minors, and multiple US states are passing platform safety laws. These obligations must be designed into the product from day one, not bolted on after the first crisis.
Feed algorithms determine what users see and what creators earn. Poorly specified ranking requirements lead to engagement-maximizing feeds that surface outrage over substance, reward reposts over original content, and create filter bubbles. This template includes explicit requirements for diversity constraints, content quality signals, and creator equity in distribution — the guardrails that keep a platform healthy as it scales.
Whether you are building a niche community, a creator platform, a professional network, or a content discovery app, this template gives you a structure that covers the unique challenges of social products. Copy it directly, or use Vantage to generate a social media PRD from your actual product data, user research, and team conversations.
The complete social media PRD template
Ten sections tailored for social platforms. Each includes moderation-aware guidance, realistic examples, and tips from teams that have shipped products serving millions of users.
Problem Statement
Define the social interaction problem your product addresses. Social media problems span content discovery, creator monetization, community safety, and engagement quality. Quantify the gap between current user behavior and the desired experience using engagement depth, not vanity metrics.
Example: "Users with fewer than 500 followers receive an average of 2.3 interactions per post, leading to a 72% churn rate within 30 days of account creation. The current algorithmic feed surfaces content from followed accounts 89% of the time, limiting content discovery for new users. Creators producing original content see 40% less reach than reposted viral content, disincentivizing original creation and reducing platform differentiation."
Tips
- Measure engagement quality (comments, saves, shares) separately from engagement volume (likes, views)
- Quantify creator retention and monetization gaps — creators drive content supply
- Identify content discovery failures: how often do users see content they find valuable vs. irrelevant
- Include safety metrics: harassment report rates, time-to-action on reported content, false positive rates on moderation
Goals and Objectives
Set goals that balance growth with platform health. Social media products that optimize purely for engagement often degrade user wellbeing and content quality. Include platform safety and content quality targets alongside growth metrics.
Example: "Primary: Increase Day-7 retention for new users from 28% to 45% by improving content discovery in the first session. Creator: Grow creator-to-consumer ratio from 1:80 to 1:40 by reducing barriers to first post. Safety: Reduce median time to action on reported content from 18 hours to under 2 hours. Quality: Increase proportion of original content in feed from 11% to 30%."
Tips
- Balance engagement targets with time-well-spent metrics to avoid addictive dark patterns
- Set separate goals for consumers, creators, and advertisers — their incentives often conflict
- Include content quality metrics: original vs. reposted, diverse vs. homogeneous, informative vs. outrage-driven
- Define safety baselines: acceptable harassment rates, moderation response times, appeal resolution speed
User Stories
Write stories for all platform participants: consumers, creators, moderators, and advertisers. Each role interacts with the same content differently. Pay special attention to stories about content reporting, appeals, and account recovery — these are where trust is built or destroyed.
Example: "As a new user, I want to see a personalized feed within my first 5 minutes on the platform so that I find a reason to return tomorrow. Acceptance criteria: onboarding collects 3-5 interest signals; first feed contains zero empty states; at least 60% of first-session content matches declared interests. As a creator, I want to understand why my post was removed so I can avoid future violations. Acceptance criteria: removal notification includes specific policy violated, the content element that triggered it, and an appeal button with expected response time."
Tips
- Include stories for content moderation edge cases: satire, cultural context, misinformation vs. opinion
- Write creator stories for analytics, monetization, audience insights, and content scheduling
- Cover cross-platform sharing, deep linking, and embed experiences
- Address account security: 2FA, session management, login from new devices, compromised account recovery
Functional Requirements
Specify the content pipeline end-to-end: creation, processing, distribution, interaction, and moderation. Feed ranking algorithms need explicit requirements for relevance signals, diversity constraints, and recency weighting. Content moderation needs latency and accuracy targets.
Example: "FR-1: Feed ranking uses engagement prediction, content freshness (half-life of 4 hours), creator relationship strength, and topic diversity as input signals. FR-2: No single creator occupies more than 15% of any user's feed in a single session. FR-3: Content upload processing (transcode, thumbnail, metadata extraction) completes within 30 seconds for video under 60 seconds. FR-4: Automated content moderation classifies uploads within 5 seconds with 95% precision and 90% recall for policy-violating content. FR-5: Users can report content in 2 taps with pre-populated category selection."
Tips
- Define feed diversity constraints to prevent filter bubbles and creator concentration
- Specify content processing pipelines: upload, transcode, moderation scan, indexing, distribution
- Include anti-abuse requirements: rate limiting on follows, messages, posts; bot detection signals
- Define notification strategy: what triggers push, in-app, email — and batching/quiet hours rules
Content Moderation and Trust & Safety
This section replaces generic non-functional requirements with platform safety specifications. Define moderation policies, enforcement tiers, appeal processes, and the human-AI moderation pipeline. Content moderation at scale requires automated systems with human review for edge cases.
Example: "CM-1: Three-tier enforcement: warning (first minor violation), temporary restriction (repeat minor or first major), permanent suspension (severe or repeated major). CM-2: Automated moderation covers: nudity (PhotoDNA + custom classifier), spam (text + behavioral signals), violence (video frame analysis). CM-3: Human review queue for: appeals, context-dependent cases (satire, news), borderline content. SLA: 24 hours for appeals, 4 hours for urgent safety reports. CM-4: Transparency report published quarterly with moderation volume, accuracy, and appeal overturn rates."
Tips
- Define clear escalation paths: automated action, human review queue, specialist review, legal review
- Specify moderation SLAs by severity: immediate for CSAM/terrorism, hours for harassment, days for appeals
- Plan for cultural and language-specific moderation — policies cannot be one-size-fits-all globally
- Include creator dispute resolution: what happens when moderation decisions are wrong, and how fast is the correction
Privacy and Data Protection
Social media products collect extensive personal data: content, interactions, location, contacts, browsing behavior. Define data collection boundaries, user controls, data retention policies, and compliance with GDPR, CCPA, COPPA, and the Digital Services Act.
Example: "PD-1: Users can download a complete copy of their data within 48 hours of request (GDPR Art. 20). PD-2: Account deletion removes all content and personal data within 30 days; anonymized aggregate analytics retained. PD-3: Location data collected only with explicit opt-in; stored for 90 days maximum. PD-4: COPPA compliance: age gate during registration; accounts flagged as under-13 receive restricted features (no DMs, no public posting, no location sharing). PD-5: Ad targeting data preferences visible and modifiable by users in a single settings page."
Tips
- COPPA and age verification are non-negotiable for platforms accessible to minors
- GDPR right to erasure must cascade through all systems: content, analytics, backups, ML training data
- The Digital Services Act (EU) requires algorithmic transparency and opt-out from recommendation algorithms
- Default to privacy-protective settings — regulators penalize opt-out models for sensitive data
Success Metrics
Social media metrics span engagement quality, creator ecosystem health, platform safety, and business performance. Avoid optimizing for a single metric — engagement without safety or quality controls leads to toxic platforms.
Example: "Engagement: DAU/MAU ratio. Baseline: 0.35. Target: 0.50. Quality: Average session depth (unique creators interacted with per session). Baseline: 3. Target: 8. Creator: Percentage of creators earning revenue. Baseline: 2%. Target: 10%. Safety: Percentage of reported content actioned within SLA. Baseline: 60%. Target: 95%. Business: Revenue per DAU. Baseline: $0.12. Target: $0.25."
Tips
- Track time-well-spent metrics alongside engagement: do users feel good after using the platform?
- Measure creator-side metrics separately: posting frequency, follower growth rate, revenue per creator
- Monitor content diversity: are users seeing a healthy mix of topics and perspectives?
- Set alert thresholds for viral content that triggers unusual report volumes
Timeline and Milestones
Social media launches require careful sequencing: core posting and feed before discovery, discovery before monetization, moderation before scale. Rushing to scale without moderation infrastructure creates platform safety debt that is extremely expensive to repay.
Example: "Phase 1 (Weeks 1-6): Core content creation, feed, profiles, follow graph. Milestone: 100 beta users posting daily. Phase 2 (Weeks 7-10): Content discovery, trending, hashtags, explore. Milestone: 40% of feed impressions from non-followed accounts. Phase 3 (Weeks 11-14): Moderation pipeline, reporting, enforcement. Milestone: Automated moderation achieving 90% precision. Phase 4 (Weeks 15-18): Creator tools, analytics, monetization. Milestone: 10 creators earning through platform. Phase 5 (Weeks 19-22): Public launch, growth loops, referral mechanics."
Tips
- Ship moderation infrastructure before scaling user acquisition — retrofitting safety is 10x harder
- Plan for a closed beta to build initial content supply before opening registration
- Creator monetization tools should launch before creators build audiences — they need to see the path to revenue
- Include legal review of terms of service, privacy policy, and content policies before public launch
Risks and Mitigations
Social media risks include content safety failures, regulatory action, creator exodus, viral misinformation events, and the cold-start problem of building a network with no existing users. Each risk needs a specific response plan.
Example: "Risk: Viral misinformation event spreads harmful content before moderation catches it. Likelihood: High. Impact: Critical. Mitigation: Automated velocity detection flags content with unusual spread patterns for immediate human review; pre-built response playbook for crisis content moderation. Owner: Trust & Safety lead. Risk: Key creators migrate to competing platform. Likelihood: Medium. Impact: High. Mitigation: Creator partnership program with guaranteed distribution and revenue share; creator advisory council for platform decisions."
Tips
- Plan for content crises: viral misinformation, coordinated harassment campaigns, illegal content
- Address the cold-start problem explicitly: how do you build content supply before you have audience?
- Creator concentration risk: if top 1% of creators generate 50% of engagement, their departure is existential
- Regulatory risk is increasing globally: EU DSA, US state-level social media laws, global age verification requirements
Third-Party Dependencies and Integrations
Social media products depend on content delivery networks, media processing pipelines, moderation APIs, authentication providers, and advertising platforms. Document each dependency with scaling limits and cost implications.
Example: "Dependency 1: Cloudflare/CloudFront CDN — media delivery. SLA: 99.99%. Cost model: per-GB egress. Scaling concern: video-heavy content at scale. Dependency 2: AWS MediaConvert — video transcoding. SLA: 99.9%. Latency: 2-5 minutes for 1-minute video. Dependency 3: Hive Moderation API — automated content classification. SLA: 99.5%. Cost: per-image/frame. Fallback: Google Cloud Vision API. Dependency 4: Stripe Connect — creator payouts. SLA: 99.99%. Dependency 5: Firebase/Twilio — push notifications and SMS verification."
Tips
- CDN costs scale linearly with video views — model unit economics carefully for video-heavy platforms
- Moderation API latency directly affects upload-to-visibility time and user experience
- Authentication providers must support social login (Google, Apple) for frictionless onboarding
- Plan for multi-CDN strategy to handle traffic spikes from viral content
Related templates
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View template →Frequently asked questions
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