Product Roadmap

⚡ Investment & Execution Reality

Phase 1 builds confidence. Phase 2 builds capability. Phase 3 builds the ecosystem.

This is an aggressive 24-month roadmap requiring sustained executive commitment, dedicated engineering and product capacity, and material investment in technology infrastructure (identity/payments/data platform), go-to-market execution (supply seeding, customer acquisition), and organizational change management.

Success depends on: (1) ring-fencing a named team from enterprise interrupts; (2) accepting measured risk with stage-gated scale decisions; and (3) resisting the urge to expand scope before validating unit economics and liquidity in the initial beachhead. Without this discipline, execution timelines extend 2-3x and ROI becomes uncertain.

Conceptual Roadmap (0–24 Months)

Operating cadence: Quarterly elasticity recalibration (per metro × category) with target updates; promote features only when stage‑gate SLOs hold.

0–3 Months: Foundation & Early Validation

Product scope: define franchise/SMB offering, pricing fences, and instant quote MVP
Identity & payments: select KYC/KYB and payments/payout vendors; implement escrow/holdbacks and dispute flow
Onboarding v1: self-serve customer and provider flows with doc auto-extraction; instrument baseline KPIs (onboarding time, KYB pass, payout P95)
Supply seeding: recruit and verify seed providers in 2 metros (e.g., QSR beverage equipment, refrigeration); ensure hour-by-hour coverage
Anti-leakage: enable in-app comms, masked contacts, QR/job codes, and T&Cs
Closed alpha: limited demand cohort to validate instant quote → booking → dispatch; measure liquidity and time-to-fill SLO
Estimation basics: introduce estimate ranges for top job types; collect photo/video; enable diagnostic + NTE flow with simple change-order approval.

Stage gates (provisional; finalize post-baseline):

Liquidity: ≥ X% jobs filled within Y minutes in launch metros
P95 onboarding time ≤ 15 minutes (provider and customer); KYB pass-through ≥ X%
P95 payout time ≤ 24 hours; payout success rate ≥ X%
Leakage rate ≤ X%; quote-to-book conversion ≥ X%

3–6 Months: Beta Expansion & Unit Economics

Open closed-beta in 2–3 metros with fast payouts; turn on ratings/disputes
Matching/routing: launch provider scoring and travel-time minimization; introduce batching for high performers
Billing automation: auto-invoicing, tax code classification, and reconciliation; target % automated
Incentives: surge rules for scarcity; tiered entitlements (instant payouts, premium jobs)
Experimentation: run take-rate and price guidance tests to improve conversion and contribution margin
KPI cadence: weekly reviews on liquidity, time-to-fill, first-time fix, CSAT, leakage, payout P95; quarterly elasticity recalibration and target updates; iterate models and UX

Stage gates:

Time-to-fill SLO attainment ≥ X% across beta metros; average travel time/job trending down
Automated invoicing/reconciliation ≥ X% of jobs; dispute median resolution ≤ X days
Take-rate within target band while maintaining provider retention/adoption thresholds
Post-job CSAT ≥ X; first-time fix trending up vs. baseline

6–12 Months: Multi-Metro Scaling & Pricing Optimization

Geographic scale: expand to additional metros and add a second category (e.g., exterior services pilot or high-frequency small appliance repair)
Pricing intelligence: roll out price guidance by category/region/time; monitor fill-rate vs. margin trade-offs
Equipment ID: use photo recognition/templates to capture equipment make/model and service history; refine estimate accuracy.
Co-pilots: deploy customer intake and provider job-assist co-pilots (photo/video triage, playbooks)
Quality & safety: predictive quality/risk scores integrated into routing and incentives
Insights: SMB dashboards (costs, downtime, repeat issues) to drive retention and upsell to AI SLAs
Provider system connectors: lightweight integrations for job ingest/export, schedule updates, invoice/payout reconciliation, and document sync
Platform KPIs: improve metro density indicators (travel time/job, jobs/provider-day) and SLO attainment

Stage gates:

Add ≥ N new metros with liquidity and SLO attainment at/above targets
Price guidance lift: conversion and contribution margin improve vs. control
Quality: predictive risk scoring reduces rework/returns by ≥ X%
SMB retention/repeat rate ≥ X%; leakage remains ≤ X%

12–24 Months: Platformization & Monetization Expansion

Open MVP with controlled provider pool across more metros and categories (interior + exterior)
Add predictive maintenance signals where data exists; introduce parts workflows and compliance prompts broadly
Monetization: optimize take-rate and contribution margin per job; launch insight subscriptions and premium AI SLAs
Ecosystem: expose APIs/integrations; build partner onboarding kits; strengthen governance and model monitoring
Certified integrations: formal connectors with leading FSM/ERP tools (e.g., ServiceTitan) including entitlements, field mapping, and audit logs
Finance ops: refine dispute handling, chargeback controls, and auditability; reduce manual exceptions
Treasury & payouts: evaluate stored-value wallet with sponsor bank/program manager (FBO accounts) to enable advanced payout options; proceed only with compliance/legal sign-off and clear unit economics

Stage gates:

Contribution margin per job ≥ target; CAC payback for SMB cohorts ≤ X months
Insight subscriptions/premium AI SLAs reach ≥ X% of SMB revenue
Operational: manual exceptions in billing/reconciliation ≤ X%; model monitoring SLOs met