Company Background
You are a Strategy & Analytics lead at HandyHive, a two-sided marketplace in the US and Canada that matches Clients (households and small businesses) with Taskers (independent contractors) for home services: cleaning, furniture assembly, minor repairs, moving help, and yard work.
HandyHive’s business model is commission-based. Clients pay an hourly rate (or fixed price for some categories), Taskers receive a payout per job, and HandyHive keeps the difference plus a small service fee. The marketplace has grown steadily over the last three years, but competition has intensified and Tasker supply has become a binding constraint in several metros.
Scale and economics (last quarter):
- Active Clients (placed ≥1 order in last 90 days): 2.4M
- Active Taskers (completed ≥1 job in last 28 days): 310K
- Monthly jobs: 3.6M
- Average order value (AOV): $92
- Take rate (revenue / GMV): 19%
- Quarterly revenue: $63M
- Contribution margin (after support, payment processing, insurance): 8%
HandyHive’s north-star metric is Completed Jobs (because it correlates strongly with revenue and repeat). However, leadership has recently added Tasker Net Earnings per Active Hour and Tasker 90-day Retention as “guardrail metrics” after a wave of negative social media sentiment about pay.
Strategic Situation
A major competitor, TaskRabbit, has increased marketing spend and is offering temporary Tasker incentives in the top 10 metros. HandyHive’s CEO believes the company must improve Client conversion and repeat to defend demand share. The Growth team launched an experiment called “Client Price Relief”:
- For selected categories and metros, HandyHive reduced the client-facing price by ~7% (via lower platform fee and targeted discounts).
- To fund this, the platform also adjusted the Tasker payout algorithm, reducing average payout per job by ~4% (not uniform; heavier impact on shorter jobs and off-peak times).
- The intent was to increase demand enough that Taskers would make up the difference through higher utilization.
After four weeks, the experiment shows a clear pattern: Clients are happier and book more, but Taskers are worse off. The CEO wants a recommendation within one week on whether to:
- Roll out broadly,
- Roll out with modifications,
- Stop the experiment and revert.
This decision matters because HandyHive is preparing its annual plan and intends to set pricing and incentive budgets for the next 12 months.
Experiment Results (4-week test)
The test ran in 8 metros (treatment) vs 8 matched metros (control), covering ~18% of US volume. Categories included Cleaning, Assembly, and Moving Help.
Client-side outcomes
| Metric | Control | Treatment | Delta |
|---|
| Client checkout conversion | 22.0% | 24.2% | +2.2 pp |
| Jobs per active client (monthly) | 1.42 | 1.51 | +6.3% |
| 30-day client repeat rate | 28% | 30% | +2 pp |
| Client NPS | 46 | 52 | +6 |
Tasker-side outcomes
| Metric | Control | Treatment | Delta |
|---|
| Avg Tasker payout per job | $58.20 | $55.90 | -4.0% |
| Tasker acceptance rate | 71% | 66% | -5 pp |
| Tasker cancellations (pre-start) | 3.8% | 5.1% | +1.3 pp |
| Tasker 28-day retention | 64% | 60% | -4 pp |
| Tasker support tickets per 1K jobs | 14 | 19 | +36% |
Marketplace outcomes
| Metric | Control | Treatment | Delta |
|---|
| Time-to-match (median) | 9.5 min | 11.8 min | +2.3 min |
| Job completion rate | 96.1% | 95.0% | -1.1 pp |
| Refund rate | 2.2% | 2.8% | +0.6 pp |
| Revenue per job | $17.50 | $16.10 | -8.0% |
Additional context
- Tasker supply is already tight in NYC, SF Bay, Seattle, Boston; time-to-match is a sensitive KPI.
- HandyHive has historically relied on Tasker referrals and low paid acquisition; Tasker acquisition cost (TAC) is estimated at $120 per activated Tasker.
- A typical active Tasker completes 18 jobs/month and stays active for 7 months on average.
- Client acquisition cost (CAC) blended is $18; average client lifetime is 14 months.
- Legal/PR: Several states are debating gig worker protections; leadership is sensitive to headlines about “wage cuts.”
Your Task (Deliverables)
Prepare a recommendation memo for the CEO and CFO. Address the following:
- Diagnose the trade-off: Why might the experiment help Clients but hurt Taskers? What mechanisms could be driving the Tasker response (acceptance, cancellations, retention)?
- Quantify the business impact: Estimate the 12-month impact on Completed Jobs, revenue, and contribution margin under three scenarios: roll out as-is, roll out with mitigation, or stop.
- Marketplace strategy: Using two-sided marketplace logic and competitive analysis, decide which side should be prioritized in the short term vs long term.
- Design a modified go-to-market / pricing approach: Propose at least two concrete modifications (e.g., targeted subsidies, differentiated pricing, minimum payout floors, loyalty tiers) and explain how you’d test them.
- Risk and guardrails: Define guardrail metrics and a rollback plan that protects Tasker health while pursuing Client growth.
Constraints
- Decision needed in 7 days; any new test must be scoped to launch within 4 weeks.
- Incentive budget is capped at $6M per quarter incremental spend.
- Engineering capacity: 6 engineers for pricing/marketplace changes this quarter.
- Must maintain compliance with local labor rules and avoid policy changes that could be interpreted as discriminatory.
- Leadership will not accept a plan that materially worsens time-to-match in the top 10 metros.
