Growth Loop Design Pack — AI Onboarding Assistant for HR Teams
1) Context Snapshot
Product: AI onboarding assistant for HR teams Stage: Early growth (some PMF in mid-market) Target segment(s): Mid-market companies (100–1,000 employees) with HRIS platforms in place Growth goal (metric + target + date): +30% WAU within 90 days, focused on mid-market segment Decision this informs: Which 1–2 growth loops to invest the next quarter in, given limited engineering capacity; whether to double down on the HRIS integration/partner loop as the primary growth engine vs. exploring a secondary referral/champion loop. Current primary channels: Outbound sales + HRIS marketplace partnerships (listed on several HRIS marketplaces) Constraints:
- Engineering capacity: 2 developers (all experiments must be low-to-moderate eng effort)
- Brand-safe only: no aggressive/spammy tactics; must maintain trust with HR buyers
- No explicit paid acquisition budget mentioned (paid loop gated accordingly)
- Platform policy: must comply with HRIS marketplace listing policies and partner guidelines
- Legal/privacy: HR data is sensitive; no PII exposure in growth mechanics
Core value moment: An HR team installs the integration, connects their HRIS, and successfully runs their first AI-assisted onboarding workflow for a new hire — the moment they see the tool saving them manual onboarding work.
2) Loop Inventory + Baseline
Baseline (best available)
| Area | Metric / definition | Current (estimated) | Source | Notes / confidence |
|---|---|---|---|---|
| Acquisition volume | New signups or installs per week from HRIS marketplaces + outbound | ~30–50/week (assumption) | User context | Medium confidence — user says "some PMF" and "listed on several marketplaces" |
| Activation rate | % of installs that complete first AI-assisted onboarding | ~25–40% (assumption) | Not provided | Low confidence — common for B2B integrations; needs validation |
| Retention/engagement proxy | WAU (Weekly Active Users) | Not provided (baseline to measure +30% against) | User context | The +30% target implies a known WAU baseline; team should confirm |
| Referral/share | Organic internal referrals or word-of-mouth from HR teams | Low / informal (assumption) | Not provided | Low confidence — no referral mechanism described |
| Unit economics (if known) | LTV, margin, CAC, payback | Not provided | — | Paid loop gated; not recommended without data |
Existing loops (if any)
| Loop name | Type | Input --> Action --> Output --> Feedback | Strength today (H/M/L) | Evidence |
|---|---|---|---|---|
| HRIS marketplace discovery | Partner/integration | Marketplace listing views --> HR admin clicks "Install" --> Integration installed --> Usage data/reviews improve listing rank | Medium | Listed on several HRIS marketplaces; this is stated as the believed best lever |
| Outbound sales | Sales | Sales team outreach --> Demo --> Close --> Account active | Low-Medium | Mentioned as a current channel; likely linear (not compounding) without a feedback path |
Observation: The outbound channel is linear (no self-reinforcing feedback), not a loop. The HRIS marketplace channel has loop potential (installs --> usage --> reviews/ratings --> more visibility --> more installs) but it is likely under-optimized today.
3) Loop Candidates (Micro + Macro)
Candidate 1: HRIS Marketplace Integration Loop (Primary)
Loop name: HRIS Marketplace Integration Loop Type: Partner/integration Target segment: Mid-market HR teams using HRIS platforms Core mechanism: More installs from HRIS marketplaces drive more usage, reviews, and co-marketing assets, which increase marketplace ranking and visibility, driving even more installs.
Loop model
- Input: HRIS marketplace listing impressions (organic search within the marketplace + category browsing)
- Action: HR admin discovers listing --> clicks "Install" --> completes guided setup --> runs first AI onboarding workflow
- Output: Active integration + marketplace review/rating + usage data signal to HRIS platform
- Feedback: Higher review count/rating --> improved marketplace ranking --> more listing impressions --> more installs. Additionally, co-marketing with HRIS partners amplifies listing exposure.
- Cycle time: 2–4 weeks (install to review/rating)
Preconditions
- Product prerequisites: Guided setup flow that minimizes time-to-first-value; review prompt at the right moment
- Operational prerequisites: Partnership contacts at top 2–3 HRIS platforms for co-marketing; listing optimization (copy, screenshots, keywords)
- Risk/policy constraints: Must comply with marketplace review policies (no incentivized reviews that violate ToS); co-marketing assets must be approved by partners
Success definition
- Loop KPI: Marketplace-sourced installs per week
- Leading indicators: Listing view --> install conversion rate; time-to-first-integration; review submission rate
- Lagging indicator: WAU growth from marketplace-sourced accounts
Candidate 2: Internal Champion Referral Loop
Loop name: Internal Champion Referral Loop Type: Viral/referral (B2B internal expansion) Target segment: Mid-market HR teams; expansion from one HR user to the broader HR team and adjacent departments Core mechanism: An activated HR admin invites colleagues to the platform; as more team members use it, the tool becomes embedded in the onboarding workflow, which increases WAU and creates word-of-mouth to other companies via HR professional networks.
Loop model
- Input: Activated HR admin (has completed first AI-assisted onboarding)
- Action: Admin invites HR team members or assigns them onboarding tasks within the tool --> colleagues activate --> tool becomes the team's default onboarding system
- Output: Additional WAU from same account + cross-company word-of-mouth in HR communities/networks
- Feedback: More active users per account --> stronger lock-in --> HR professionals mention the tool in peer conversations/communities --> new company signups
- Cycle time: 1–3 weeks (invite to activation); 4–8 weeks for cross-company word-of-mouth
Preconditions
- Product prerequisites: Easy "invite teammate" flow; collaborative features that give teammates a reason to use the tool (e.g., task assignment, shared onboarding templates)
- Operational prerequisites: Identify moments when inviting makes sense (e.g., "You have 3 new hires this week — invite your team to help assign tasks")
- Risk/policy constraints: Invites must be opt-in and not spammy; respect corporate email policies
Success definition
- Loop KPI: Teammates invited per activated admin per month; cross-company referral signups
- Leading indicators: Invite send rate; invite accept rate; multi-user account rate
- Lagging indicator: WAU growth from invited users + referral-sourced new accounts
Candidate 3: Co-Marketing Content Loop
Loop name: Co-Marketing Content Loop Type: Content/partner Target segment: Mid-market HR decision-makers Core mechanism: Co-create onboarding best-practice content with HRIS partners (webinars, case studies, integration guides); content drives qualified traffic to marketplace listings and directly to the product.
Loop model
- Input: Partnership with HRIS vendors
- Action: Co-produce content (case studies, "how to automate onboarding with [HRIS] + [your product]" guides, joint webinars) --> distribute via partner channels + own channels
- Output: Qualified traffic to marketplace listing or direct signup; content assets that rank in search
- Feedback: Content drives installs --> installs produce success stories --> success stories become new content --> content drives more installs
- Cycle time: 4–8 weeks (content creation to measurable traffic/install lift)
Preconditions
- Product prerequisites: At least 2–3 customer success stories to seed content
- Operational prerequisites: Partner marketing contact willing to co-promote; content creation capacity (can be done by non-eng team)
- Risk/policy constraints: Must get partner approval on co-branded content; no exaggerated claims
Success definition
- Loop KPI: Content-sourced marketplace listing views and installs per month
- Leading indicators: Content piece views; click-through to listing; webinar registrations
- Lagging indicator: WAU growth attributable to content-sourced signups
Candidate 4: Sales-Assisted Expansion Loop
Loop name: Sales-Assisted Expansion Loop Type: Sales Target segment: Existing mid-market accounts Core mechanism: Outbound/CS team identifies activated accounts with expansion potential --> upsell to more departments/locations --> more users --> more case studies for outbound.
Loop model
- Input: Activated account with usage data showing value delivery
- Action: CS/sales reaches out with expansion pitch (e.g., "Your HR team in HQ loves it — roll out to your 3 other offices")
- Output: Expanded account (more WAU) + case study / testimonial
- Feedback: Case studies fuel outbound and partner co-marketing
- Cycle time: 4–8 weeks
Note: This loop is lower priority because it depends on having enough activated accounts to mine expansion from, and it is more linear than compounding. Included for completeness.
Candidate 5: Paid Acquisition Loop
Loop name: Paid Marketplace/Search Ads Type: Paid Target segment: Mid-market HR buyers searching for onboarding solutions
Paid Loop Feasibility Gate (see Section 6 below): NOT RECOMMENDED at this time. No unit economics data provided; engineering capacity is too limited to also build attribution infrastructure. Revisit after organic loops are validated and LTV/CAC data is available.
Candidate 6: HR Community Word-of-Mouth Loop
Loop name: HR Community Seeding Loop Type: Viral (community-driven) Target segment: HR professionals active in communities (SHRM, HR Twitter/LinkedIn, People Ops Slack groups) Core mechanism: Activated users share tips/templates from the product in HR communities --> community members discover the product --> sign up.
Loop model
- Input: Activated user who has created onboarding templates or workflows
- Action: User shares a useful template or workflow tip in an HR community, mentioning the tool
- Output: Community engagement + product awareness
- Feedback: New signups from community members --> they create templates --> share in communities
- Cycle time: 2–6 weeks
Note: This loop has a long cycle time and low controllability for a 90-day horizon. Better as a long-term secondary strategy. Not prioritized.
4) Loop Map (Qualitative Model)
Micro Loops --> Macro Loop Table
| Micro loop | Input | Action | Output | Feedback path | Primary bottleneck |
|---|---|---|---|---|---|
| HRIS Marketplace Install Loop | Marketplace listing impressions | HR admin discovers + installs integration | Active integration + review/rating | Reviews/ratings improve listing rank --> more impressions | Listing-to-install conversion rate; time-to-first-value (activation) |
| Internal Champion Referral Loop | Activated HR admin | Admin invites teammates; assigns tasks in tool | More WAU per account + cross-company WOM | Multi-user accounts create stickiness + HR network referrals | Invite trigger/prompt; teammate activation rate |
| Co-Marketing Content Loop | HRIS partner relationship | Co-create content (guides, webinars, case studies) | Qualified traffic to listing/signup | Content drives installs; installs produce stories for new content | Partner willingness; content-to-install conversion |
Macro Loop: How These Connect
HRIS Marketplace Listing Impressions
|
v
HR Admin Discovers & Installs
|
v
Guided Setup --> First AI Onboarding (VALUE MOMENT)
|
+--------> Marketplace Review/Rating -----> Improves Listing Rank ----+
| |
+--------> Invites Teammates (Champion Referral) --> More WAU |
| | |
| +---> Cross-company WOM in HR networks --> New Signups -+
| |
+--------> Success Story / Case Study |
| |
v |
Co-Marketing Content with HRIS Partner |
| |
+-----> Drives Traffic to Listing ----->----------------+
How to read this: The macro loop starts with marketplace discovery, flows through activation (the value moment), and then branches into three reinforcing micro loops: (1) reviews that boost marketplace ranking, (2) internal expansion via champion referrals, and (3) co-marketing content that drives more marketplace traffic. All three micro loops feed back into the top of the funnel (more listing impressions and installs).
Bottleneck Hypotheses
- Listing --> Install conversion rate. If the marketplace listing copy, screenshots, and reviews are weak, the top-of-funnel volume is wasted. This is likely the single highest-leverage bottleneck for the primary loop.
- Time-to-first-value (activation). If the guided setup is clunky or takes too long, installs churn before reaching the value moment, which kills both the review loop and the referral loop downstream.
- Review/rating submission rate. Most B2B users never leave reviews unless prompted at the right moment. Without reviews, marketplace ranking stagnates.
- Invite trigger / teammate activation. If there is no natural moment to invite teammates, the champion referral loop never starts. Need a product-driven trigger.
5) Channel Fit Triad (Customer x Business x Medium)
| Candidate channel | Customer need/context | Business goal fit | Medium strength match | Verdict (Go/No-go) | Notes |
|---|---|---|---|---|---|
| HRIS Marketplace listings | HR admins actively search for tools in their HRIS ecosystem; high intent | Directly drives installs in target segment; compounds via reviews | Interactive (install flow); text (listing copy); integration-native | Go | Strongest channel-product fit; this is where mid-market HR buyers already shop |
| In-product invite flow (B2B referral) | HR teams are collaborative; onboarding is a team task | Drives WAU per account; creates stickiness | Interactive (in-app); email (invite notification) | Go | Natural fit for multi-user B2B product; low eng effort for basic invite flow |
| Co-marketing with HRIS partners | HR buyers trust their HRIS vendor's recommendations | Leverages partner credibility; low cost | Text/video (guides, webinars); partner email lists | Go (secondary) | Depends on partner willingness; longer cycle time but high-quality leads |
| HR community seeding (LinkedIn, Slack) | HR professionals share tools in peer communities | Builds awareness; slow compounding | Text (posts, templates) | Defer | Low controllability; better as a long-term play after loops 1–2 are working |
| Paid search/marketplace ads | HR buyers search for onboarding tools | Could accelerate top-of-funnel | Text (search ads) | No-go (for now) | No unit economics data; limited eng capacity for attribution; revisit at 60–90 days |
6) Paid Loop Feasibility Gate
Known/estimated:
- LTV (gross): Not provided
- Gross margin %: Not provided
- Target CAC: Not provided
- Payback target (months): Not provided
Gate checks (directional):
- LTV x margin supports target CAC: Cannot evaluate (no data)
- Retention strong enough that CAC won't be "wasted": Unknown (WAU retention not provided)
- Attribution and conversion tracking: Likely insufficient (no analytics tooling described; 2-dev team cannot prioritize attribution infrastructure)
Verdict: Not yet viable Prerequisites before revisiting:
- Establish WAU retention baseline (is retention strong enough to justify acquisition spend?)
- Calculate rough LTV from current customers (ARPA x gross margin x expected lifetime)
- Instrument basic attribution (UTM tracking on marketplace listings at minimum)
- Revisit at Day 60–90 if organic loops are working and unit economics are clearer
7) Loop Scorecard (Pick Top 1–2)
Scoring: 1 = low, 5 = high. For Effort, 5 = low effort (favorable). For Risk, 5 = low risk (favorable).
| Loop candidate | Impact | Confidence | Effort (inverse) | Cycle time (speed) | Risk (inverse) | Notes | Total |
|---|---|---|---|---|---|---|---|
| HRIS Marketplace Integration Loop | 5 | 4 | 4 | 4 | 5 | Highest leverage; user identified this as best lever; compounds via reviews + ranking | 22 |
| Internal Champion Referral Loop | 4 | 3 | 4 | 4 | 5 | Directly drives WAU; low eng effort for basic invite flow; less certain on adoption | 20 |
| Co-Marketing Content Loop | 3 | 3 | 3 | 2 | 5 | High-quality leads but slower cycle time; depends on partner cooperation | 16 |
| Sales-Assisted Expansion | 2 | 3 | 3 | 2 | 5 | Linear, not compounding; good for later when account base is larger | 15 |
| HR Community Seeding | 2 | 2 | 4 | 2 | 5 | Low controllability; long cycle; better as organic byproduct | 15 |
| Paid Acquisition | 3 | 1 | 2 | 3 | 3 | Gated: no unit economics; no attribution infra; revisit later | 12 |
Selection
Primary loop: HRIS Marketplace Integration Loop (score: 22) Secondary loop: Internal Champion Referral Loop (score: 20)
Innovate vs. Optimize recommendation: Optimize first, then layer innovation.
- The HRIS marketplace loop already exists in nascent form. The highest ROI is optimizing it (listing conversion, guided setup, review prompting) before inventing new loops.
- The champion referral loop is a modest innovation (new invite mechanism) that can be layered on top once activation is strong.
Why these win vs. alternatives:
- The HRIS Marketplace loop has the shortest path to impact because the channel already exists and has demonstrated some traction. Optimization experiments (listing copy, guided setup) are low-eng-effort and fast to test.
- The Champion Referral loop directly drives the target metric (WAU) by expanding usage within accounts that have already activated, and it compounds with the primary loop (more users per account = more reviews, more word-of-mouth).
- Co-marketing is valuable but has a 4–8 week cycle time that makes it less suitable as the primary lever for a 90-day goal. It should be started in parallel as a "slow burn" amplifier.
8) Measurement + Instrumentation Plan
Metrics
| Loop | KPI (headline) | Leading indicators | Data source | Notes |
|---|---|---|---|---|
| HRIS Marketplace Integration Loop | Marketplace-sourced installs/week | Listing views; listing-to-install CVR; time-to-first-value; review submission rate | HRIS marketplace analytics dashboards; product analytics (setup completion events) | Most HRIS marketplaces provide basic install/view analytics |
| Internal Champion Referral Loop | Invited teammates activated/week | Invite send rate per activated admin; invite accept rate; multi-user account % | Product analytics (invite events); email delivery/open/click tracking | Need to instrument invite flow |
Required Events/Properties
| Event name | When it fires | Properties | Used for |
|---|---|---|---|
integration_installed | User completes HRIS integration connection | hris_platform, marketplace_source, company_size, timestamp | Measuring marketplace-sourced installs; segmenting by HRIS platform |
guided_setup_started | User begins guided setup flow | hris_platform, user_id, account_id | Measuring setup funnel entry |
guided_setup_completed | User finishes guided setup and reaches value moment | hris_platform, user_id, account_id, duration_minutes | Measuring time-to-first-value; activation rate |
first_onboarding_run | User runs first AI-assisted onboarding for a new hire | user_id, account_id, hris_platform | Core value moment; activation metric |
marketplace_review_prompted | Review prompt is shown to user | user_id, account_id, days_since_activation | Measuring review prompt exposure |
marketplace_review_submitted | User submits a review on the marketplace | hris_platform, rating, account_id | Review loop throughput |
teammate_invite_sent | Activated admin sends an invite to a colleague | inviter_user_id, account_id, invite_method (email/link) | Invite send rate |
teammate_invite_accepted | Invited colleague creates account / activates | invitee_user_id, inviter_user_id, account_id | Invite accept rate; attributed WAU |
weekly_active_user | User performs a qualifying action in a given week | user_id, account_id, action_type | WAU tracking (headline goal metric) |
Instrumentation Gaps + Fixes
| Gap | Impact | Fix | Effort |
|---|---|---|---|
No integration_installed event with marketplace source attribution | Cannot measure marketplace loop throughput | Add UTM or referral parameter to integration install flow; log marketplace_source property | Low (1–2 days) |
| No review prompt or review tracking | Cannot measure review loop | Build review prompt at value moment + 7 days; track prompt shown + review submitted | Low-Medium (2–3 days) |
| No invite flow exists | Cannot run champion referral experiments | Build basic "invite teammate" email flow; instrument send/accept events | Medium (3–5 days) |
| WAU definition may not be instrumented | Cannot measure headline goal | Define qualifying WAU action (e.g., any login + at least one onboarding action); ensure event fires | Low (1 day) |
9) Experiment Backlog
| Priority | Experiment | Loop | Hypothesis (mechanism) | Metric (leading) | Metric (lagging) | Effort | Timebox | Dependencies |
|---|---|---|---|---|---|---|---|---|
| 1 | Optimize top 2 HRIS marketplace listings (rewrite copy, add screenshots, improve keywords) | Marketplace Integration | Better listing copy/visuals will increase listing-to-install CVR by 20%+ because HR admins make install decisions based on clarity of value prop and social proof | Listing-to-install CVR | Marketplace-sourced installs/week | Low (no eng; marketing/product can do this) | 2 weeks | Access to marketplace listing editor |
| 2 | Build guided "first value" setup flow that cuts time-to-first-integration by 50% | Marketplace Integration | A streamlined setup flow will increase activation rate (install --> first onboarding run) because the current flow likely has unnecessary friction and drop-off | Setup completion rate; time-to-first-value (minutes) | WAU from marketplace-sourced accounts | Medium (3–5 eng days) | 3 weeks | guided_setup_started / completed events instrumented |
| 3 | Add review prompt at the right moment (after 2nd successful onboarding run, ~7 days post-activation) | Marketplace Integration | Prompting activated users for a review at the moment of realized value will increase review submission rate 3–5x over no prompt, improving marketplace ranking | Review prompt shown; review submitted rate | Marketplace listing rank / impressions | Low (1–2 eng days) | 2 weeks | first_onboarding_run event; marketplace review link |
| 4 | Build basic "invite your team" flow triggered after first successful onboarding run | Champion Referral | Activated admins will invite 1–2 teammates if prompted at the value moment, because onboarding is inherently a team task | Invite send rate; invite accept rate | WAU from invited teammates | Medium (3–5 eng days) | 3 weeks | teammate_invite_sent / accepted events |
| 5 | Co-marketing pilot: 1 integration guide + 1 joint webinar with top HRIS partner | Co-Marketing Content | Co-branded content distributed via partner channels will drive 2–3x the listing views of organic marketplace discovery alone | Content views; click-through to listing | Installs from content-sourced traffic | Low-Medium (no eng; partnership/marketing effort) | 4–6 weeks | Partner agreement; at least 1 customer case study |
| 6 | A/B test review prompt timing (after 1st vs 2nd vs 3rd onboarding run) | Marketplace Integration | Optimal timing will maximize review submission without causing annoyance | Review submission rate per cohort | Review volume/month | Low (1 eng day) | 2 weeks | Experiment 3 shipped |
Win / Lose / Learn Criteria
Experiment 1 (Listing optimization):
- Win: Listing-to-install CVR improves by >= 20% within 2 weeks
- Lose: CVR does not change or declines
- Learn: Which listing elements (copy, screenshots, reviews section) drive the most impact; informs further optimization
Experiment 2 (Guided setup flow):
- Win: Activation rate (install --> first onboarding run) improves by >= 15%; time-to-first-value drops by >= 30%
- Lose: Activation rate does not improve
- Learn: Where in the setup flow users drop off; whether the bottleneck is technical (integration difficulty) or motivational (unclear value)
Experiment 3 (Review prompt):
- Win: Review submission rate increases to >= 10% of prompted users; at least 5 new reviews in 2 weeks
- Lose: < 3% submission rate despite prompting
- Learn: Whether the barrier is timing, effort, or lack of motivation; informs whether incentives (within policy) are needed
10) 30/60/90 Plan
Next 30 days: De-risk + first tests
Week 1–2:
- Instrument core events:
integration_installed(with source attribution),guided_setup_started,guided_setup_completed,first_onboarding_run,weekly_active_user. Establish WAU baseline. (Eng: ~2–3 days) - Optimize top 2 HRIS marketplace listings (copy, screenshots, keywords). (Marketing/Product: 2–3 days, no eng)
- Baseline current listing-to-install CVR and activation rate.
Week 3–4:
- Ship guided "first value" setup flow (Experiment 2). (Eng: 3–5 days)
- Ship review prompt at value moment (Experiment 3). (Eng: 1–2 days)
- Measure listing optimization impact (Experiment 1 results).
- Begin outreach to top HRIS partner for co-marketing pilot (Experiment 5).
Checkpoint (Day 30): Do we see directional improvement in listing-to-install CVR and/or activation rate? Is the instrumentation working? Decide whether to continue optimizing the marketplace loop or pivot emphasis to the referral loop.
60 days: Iterate toward a working loop
Week 5–6:
- Analyze Experiment 2 (guided setup) results; iterate on drop-off points.
- Analyze Experiment 3 (review prompt) results; run A/B on timing (Experiment 6).
- Ship "invite your team" flow (Experiment 4). (Eng: 3–5 days)
Week 7–8:
- Measure invite send/accept rates. Iterate on invite triggers if adoption is low.
- Launch co-marketing content pilot with top HRIS partner (Experiment 5).
- Evaluate whether marketplace review volume is improving listing rank.
- Begin collecting unit economics data (ARPA, retention by cohort) to inform whether paid acquisition should be considered.
Checkpoint (Day 60): Is the marketplace loop producing measurably more installs/week? Is the referral loop showing early traction (invite sends, accepts)? Decide whether to double down on winning experiments or start a new loop.
90 days: Scale winners, cut losers
Week 9–10:
- Scale winning experiments: roll out optimized listing + guided setup to all HRIS marketplaces (not just top 2).
- If invite flow is working, add collaborative features that make multi-user usage more valuable (e.g., shared onboarding templates, team dashboards).
- Measure co-marketing content impact; decide whether to invest in ongoing content partnership.
Week 11–12:
- Final WAU measurement against +30% target.
- Document what worked and what didn't; capture learnings for next quarter.
- If WAU target is not yet met, identify the remaining bottleneck (top-of-funnel volume vs. activation vs. expansion) and plan next experiments.
- Revisit paid acquisition feasibility with 90 days of unit economics data.
Checkpoint (Day 90): Did we hit +30% WAU? Which loop(s) are compounding? What is the next investment decision?
11) Risks / Open Questions / Next Steps
Risks
- HRIS marketplace algorithm/policy changes. Marketplace ranking algorithms can change, reducing organic visibility overnight. Mitigation: diversify across multiple HRIS marketplaces (not just one); build the referral loop as a hedge.
- Partner cooperation dependency. Co-marketing and listing optimization depend on HRIS partner willingness. Mitigation: start with the partner where you have the strongest relationship; have a backup partner.
- Activation bottleneck may be deeper than setup UX. If users drop off because the AI onboarding output quality is poor (not just setup friction), the guided setup experiment won't move the needle. Mitigation: instrument drop-off reasons; interview churned users.
- Eng capacity constraint. With 2 developers, experiments must be strictly sequenced. Any scope creep or production incident delays the entire plan. Mitigation: keep experiments minimal in scope; use no-code tools where possible (e.g., listing copy changes, email invite flows via existing tools).
- Brand/trust risk from review solicitation. If review prompts are too aggressive, it could damage trust with HR buyers. Mitigation: prompt only after genuine value delivery; make it easy to dismiss; never incentivize reviews in ways that violate marketplace policy.
Open Questions
- What is the current WAU baseline? The +30% target requires a known starting point. The team should confirm exact WAU before Day 1.
- What is the current activation rate (install --> first onboarding run)? This determines whether the primary bottleneck is top-of-funnel (listing visibility) or mid-funnel (activation).
- Which HRIS marketplaces drive the most volume? Optimizing the top 1–2 marketplaces first will have the most impact.
- Do marketplace analytics dashboards provide listing view and install data? If not, the team needs to find proxy metrics or request data from HRIS partners.
- Is there any existing analytics tooling (Mixpanel, Amplitude, etc.)? The instrumentation plan assumes basic event tracking capability exists or can be set up quickly.
- What does the current setup/onboarding flow look like, and where do users drop off? This informs Experiment 2 design.
- Are there any existing customer success stories that could seed the co-marketing content pilot? Without at least 1–2 stories, the content loop is harder to start.
Next Steps
- Confirm WAU baseline and activation rate — needed before any experiment can be measured.
- Prioritize instrumentation (Week 1) — without events, nothing else is measurable.
- Start Experiment 1 (listing optimization) immediately — zero eng effort, fast feedback.
- Scope Experiment 2 (guided setup) — the single highest-impact eng investment in the first 30 days.
- Reach out to top HRIS partner — begin the co-marketing conversation now so it's ready by Day 30–45.
- Schedule a Day 30 checkpoint — review metrics, decide whether to continue or pivot.
Quality Gate: Checklist
A) Scope + decision clarity
- The growth goal is explicit: +30% WAU in 90 days, mid-market segment.
- Target segment is defined: mid-market companies (100–1,000 employees) using HRIS platforms.
- Constraints are stated: 2 developers, brand-safe only, no paid budget, HRIS policy compliance, HR data privacy.
- Decision is explicit: invest in HRIS marketplace integration loop (primary) + champion referral loop (secondary); optimize first, then innovate.
B) Baseline is grounded
- Baseline includes metrics/estimates for acquisition, activation, retention/engagement (with confidence levels noted where data is missing).
- Existing loops documented (marketplace discovery loop, outbound sales).
- Core value moment defined (first AI-assisted onboarding run).
C) Loop model quality
- Micro loops specified as input --> action --> output --> feedback.
- Macro loop connects micro loops (diagram + narrative).
- Cycle times estimated per loop.
- Bottlenecks named (listing CVR, time-to-first-value, review submission rate, invite trigger).
D) Prioritization + gating
- Loop scorecard present; top 2 loops selected with rationale and trade-offs.
- Channel fit triad applied for all candidates.
- Paid loop gated (not yet viable; prerequisites listed).
E) Measurement + learning plan
- Each selected loop has KPI + leading indicators.
- Instrumentation requirements specified (9 events with properties).
- Instrumentation gaps identified with fixes and effort estimates.
- Experiments have hypotheses, metrics, and timeboxes with win/lose/learn criteria.
F) Safety + ethics
- All mechanisms are policy-compliant; no manipulative/dark-pattern tactics.
- Risks include brand/trust (review solicitation) and platform policy (marketplace rules).
- User consent addressed (invites are opt-in; review prompts are dismissible).
G) Required closing section
- Risks, Open Questions, and Next Steps all included.
Quality Gate: Rubric Score
| Dimension | Score | Rationale |
|---|---|---|
| 1) Decision usefulness | 2 | Clear decision (which loops to invest in) + "what changes if it fails" (pivot to different loop or address deeper bottleneck) |
| 2) Loop clarity — micro + macro | 2 | Three micro loops with input/action/output/feedback; macro loop diagram showing connections; bottlenecks and cycle times explicit |
| 3) Evidence grounding | 1 | Baseline exists with estimates and confidence labels, but several key metrics are assumptions (activation rate, WAU baseline) due to limited data provided; hypotheses clearly labeled |
| 4) Prioritization quality | 2 | Scorecard with 6 candidates scored on 5 dimensions; clear top-2 selection with trade-off rationale; innovate-vs-optimize recommendation |
| 5) Unit economics + paid gating | 2 | Paid loop explicitly gated as "not yet viable" with clear prerequisites; non-paid loops have effort estimates |
| 6) Measurement + instrumentation readiness | 2 | KPIs + leading indicators defined; 9 events with properties specified; 4 instrumentation gaps identified with fixes and effort |
| 7) Actionability | 2 | 6 prioritized experiments with hypotheses, metrics, timeboxes, and win/lose/learn criteria; 30/60/90 plan with checkpoints; next 2 weeks unblocked |
| 8) Safety + ethics | 2 | All mechanisms policy-compliant; brand/trust risks addressed; platform compliance checks included; user consent and spam thresholds explicit |
Total: 15/16 (Passing bar: >= 13/16)
Interpretation: Strong. Execute and review cadence weekly. The primary gap is evidence grounding (scored 1/2) due to missing baseline metrics — the first week's instrumentation work will close this gap. All other dimensions are at the highest level.