Experiment specification

Brisk order-batching experiment spec

Decision required: Whether to enable batching in all 14 cities on 5 November 2026, ahead of the 6 November code freeze. Batching pairs two eligible orders from nearby restaurants for one courier.

Decision principles and sign-off

Launch only if the experiment shows a worthwhile courier-cost reduction, customer lateness stays within an agreed limit, and courier earnings protections are met. An inconclusive result is not a pass.

Before launch, the COO and Head of Operations must approve the customer-delay limit below; the courier relations lead and Legal must confirm the Porto protocol in writing. If those approvals or the schedule cannot be met, do not claim evidence for an all-city rollout before the freeze.

Design

Randomise city × two-hour operating windows, not individual orders. Orders interact through shared courier supply, and individual randomisation would contaminate the comparison. In each treatment window, the batching policy is enabled; in each control window, batching is disabled. Randomise and balance windows within each city, weekday and daypart, aiming for an even treatment/control split. Keep the assignment schedule fixed before the test begins.

An order is analysed according to its city-window at placement (intention to treat). Batch only orders placed in the same treatment window; do not pair across windows or with control orders. This limits cross-arm contamination at switchovers. Record actual batching eligibility and use, but do not reclassify orders based on whether they were batched.

Timeline and Porto condition

• 30 September: Send Porto’s couriers’ association written notice. The notice requirement applies to the experiment as well as any rollout. Start Porto treatment no earlier than 15 October, allowing 14 full days.
• By 7 October: Complete the per-city switch, monitoring, and rollback controls; test the assignment and cost calculations.
• 15 October–4 November: Run the experiment in all cities, subject to Porto approval.
• 5 November: Review results and, only if all launch gates pass, enable batching in all 14 cities in one day. Otherwise keep it off. Do not shorten the experiment to meet the freeze.

Porto must not enter treatment until Legal and the courier relations lead confirm the notice and trial protocol comply with the agreement. Agree a written earnings-protection mechanism with the association before starting; any top-ups count in courier cost. If this cannot be agreed, exclude Porto from treatment and do not describe the result as support for a 14-city rollout.

Measures and launch gates

Estimate treatment effects against control, with confidence intervals and pre-specified analysis. Baselines: courier cost €7.40/order, orders over 45 minutes 7.5%, courier earnings €13.20/active hour.

The proposed 0.5pp lateness margin and the earnings non-inferiority margin are policy choices, not facts in the brief; the accountable leads must sign them off before randomisation. Do not change margins after seeing results.

Analysis and power

The schedule contains 1,764 city-windows (14 cities × 6 windows/day × 21 days), before any exclusions. The analyst’s estimate of 740 assumes independent windows; successive windows may be correlated, and couriers and demand carry across time. Before the test, use historical city-window data and the planned randomisation to simulate power, accounting for serial correlation and city/daypart differences. Use blocked randomisation-based inference or an appropriate model with uncertainty at the randomised-window level. Do not claim the test is powered merely because 1,764 exceeds 740. If adjusted power is inadequate, or results are too imprecise to meet a gate by 5 November, the decision is inconclusive: no rollout before freeze.

Operations and rollback

Monitor treatment uptake, cost, lateness and earnings daily, but do not stop early for a favourable result. Pause a city for a safety, service or earnings breach under pre-agreed operational thresholds; document the incident and retain it in intention-to-treat analysis. Keep the city switch available for immediate rollback. Sign-off: COO, CFO, Head of Operations, courier relations lead; Growth acknowledges the delayed reorder readout.

Brisk order-batching experiment: pre-freeze decision

Decision owner: Staff PM Required approvers: COO, CFO, Head of Operations, courier relations lead Decision deadline: 4 November 2026; rollout on 5 November, before the 6 November freeze.

1. Decision and hypothesis

Ship batching to all 14 cities only if it demonstrates at least 5% lower courier cost per order, with acceptable customer experience and protected courier earnings.

At today’s €7.40 baseline, 5% is approximately €0.37 per order. Simulated savings are not sufficient evidence.

The thresholds below are proposed sign-off terms, not established definitions of “noticeably longer.” Approvers must agree them before randomisation. An inconclusive result means no all-city rollout before the freeze, not permission to lower the bar.

2. Replace order randomisation with city switchbacks

Order-level randomisation is unsuitable: treatment and control orders share couriers, restaurant queues and dispatch capacity. Batching changes availability for both groups, contaminating the comparison.

Instead, switch each city between:

• Treatment: batching enabled under frozen restaurant-proximity, route-detour and eligibility rules; maximum two orders per courier.
• Control: current single-order dispatch.

Randomise six local-time blocks daily: 11–13, 13–15, …, 21–23. Balance treatment across cities, weekdays and clock times, with approximately equal exposure per city. Generate and lock the schedule in advance; do not let operators choose favourable treatment periods.

This estimates the effect of offering batching across a city, not merely its effect on successfully batched orders. Analyse all orders in the measurement cohort, including those never batched.

Carryover: Complete existing assignments safely at switches; never split an accepted batch. Set a fixed washout period using historical and shadow-mode assignment-to-completion times, before observing treatment results. Exclude order arrivals during that period from the primary cohort in every block, regardless of whether the state changed. Follow included orders through completion; do not truncate outcomes at block boundaries. If carryover cannot be contained within two-hour blocks, use longer blocks and re-power.

3. Metrics and launch gates

Use concurrent controls and pre-specified, one-sided 95% confidence bounds. Every gate must pass.

Cost includes distance pay, incentives, failed-delivery compensation and any batching-related earnings protection. Finance freezes allocation rules before launch. Track cancellation/completion rates so apparent savings cannot come from abandoning orders.

Define active hours as available-for-work plus engaged time, excluding genuine offline breaks—not just delivery time. Use consistent definitions across arms. Report both total earnings/total hours and courier-level distributions.

Report results by city, peak/off-peak, first/second batch position and courier earnings decile. Batch-position comparisons are descriptive, not randomised causal estimates. Examine late-delivery tails and cancellations; averages must not conceal material local harm.

Growth: Thirty-day reorder is exploratory, not a freeze gate. The first main-trial cohort matures on 14 November. Customer crossover also limits interpretation; do not present this switchback as a clean test of persistent customer retention.

4. Porto is a contractual prerequisite

Send written notice on 30 September, covering experimental on/off assignment changes and potential rollout. Legal and courier relations must confirm valid receipt, scope and the earliest permitted activation. Plan Porto activation for 15 October, providing a buffer beyond 14 days; late receipt moves that date.

Before activation, agree the contract’s hourly-earnings definition and comparison method with the association. The network’s €13.20 is not a Porto-specific contractual baseline.

Implement a funded make-whole mechanism accepted as satisfying the no-reduction requirement. Include those payments in experimental cost. A statistical non-inferiority margin cannot waive the agreement. Without compliant notice and earnings protection, Porto stays off—and the all-14-city decision is no-go.

5. Power, analysis and validity

The analyst’s 740 windows is not a sufficient sample-size justification:

• Adjacent windows share demand, weather, couriers and backlog.
• Washout reduces usable exposure.
• Detecting a 5% saving versus zero differs from proving a saving of at least 5%.
• Customer and earnings gates may require more data than cost.

Before launch, replay historical city-time data under the proposed schedule. Incorporate autocorrelation, city heterogeneity, washout and realistic take-up. Estimate power for every gate and the probability of passing them jointly, using simulation scenarios spanning 6–11% savings. Target at least 90% joint power under an explicitly agreed planning scenario.

Estimate intention-to-treat effects using city and calendar/clock-time adjustment, with fleet weights fixed from pre-experiment volume. Use schedule-respecting randomisation inference and dependence-aware uncertainty—not independent-window standard errors.

Publish city-level uncertainty. Pre-agree local safety thresholds and multiplicity handling; a pooled pass does not automatically authorise a city showing credible harm.

Feasibility gate: If adequate evidence cannot fit before the deadline, recommend no all-city pre-freeze launch.

6. Calendar and operating controls

• 30 September: Approve protocol and proposed margins; send Porto notice.
• 1–7 October: Build city switches, assignment logging, earnings protection and tested emergency rollback.
• 8–14 October: Shadow-mode validation; finalise washout, power, schedule and registered analysis.
• 15 October–2 November: Main experiment: 19 days, at most 1,596 nominal city-blocks before exclusions—not 1,596 independent observations.
• 3–4 November: Reconcile outcomes and compensation; analyse; obtain four signatures.
• 5 November: If approved, stage rollout across cities within the day, with monitored checkpoints.

Operations owns live monitoring. Pre-register severe-delay, cancellation, earnings and system-failure stop rules and a sequential-monitoring procedure. Emergency pauses remain permissible; log overrides and retain affected observations in assignment-based analysis. No opportunistic early declaration of success.

7. Sign-off package

Deliver effect estimates and confidence bounds, city diagnostics, notice/compliance evidence, incident logs, and Finance’s net savings forecast including protection payments and operating costs.

Go: Every statistical, contractual, local-safety and operational gate passes. No-go: Any gate fails, remains inconclusive, or cannot be evaluated reliably by 4 November. A subset rollout requires a separate, explicitly approved decision; it is not success against the all-city objective.

Brisk order-batching experiment spec

Decision owner: Staff PM Sign-off: COO, CFO, Head of Operations, Courier Relations Decision deadline: 4 November 2026; rollout on 5 November, before the 6 November freeze.

1. Decision and hypothesis

Test whether batching can reduce total courier cost per delivered order by at least 5%, without materially worsening delivery times or reducing courier earnings.

At today’s €7.40 baseline, 5% means approximately €0.37 saved per order. Simulations are directional evidence, not sufficient grounds for rollout.

Decision: launch across all 14 cities only if the economic, customer, courier and operational gates below pass. Otherwise, leave batching off before the freeze. A promising but inconclusive result is not a pass.

2. Treatment and eligibility

Treatment enables one courier to carry at most two orders from nearby restaurants. Control retains current assignment.

Before testing, Operations and Engineering will lock:

• Restaurant-proximity, pickup-readiness and maximum-detour rules.
• Maximum predicted delivery times for both orders.
• Courier payment rules, including distance calculation.
• Exception handling, cancellation treatment and customer communications.

Do not change these rules during the confirmatory experiment. A material change requires a new test.

Measure the policy’s effect across all orders, not merely successfully batched orders. Report batching rate and first-/second-order outcomes as diagnostics; comparing batched orders with unbatched orders is selection-biased.

3. Experimental design

Replace order-level randomization with city-wide switchbacks. Treatment orders would otherwise change courier availability and dispatch conditions for control orders, contaminating the comparison.

Each city has six two-hour blocks daily between 11:00 and 23:00. Randomize batching on/off by city-block, with balanced assignment across cities, dates and time of day. Use constrained random schedules—not deterministic alternation.

Before the confirmatory test:

• Set a washout period using historical order/trip completion data and the pilot.
• Exclude the same initial portion of every block from measurement, whether or not its state changes.
• Validate that residual trips and courier repositioning do not materially contaminate measurement. If they do, lengthen blocks or washout and recalculate feasibility.

Attribute order outcomes to order-placement time; follow included orders through completion even after their block ends. Define payout and active-hour attribution consistently before launch.

Analysis is intention-to-treat by assigned city-block. Weight results to the expected rollout order mix, rather than weighting small and large cities equally. Report city-level results and heterogeneity alongside the aggregate.

4. Metrics and acceptance gates

The following customer thresholds are proposed definitions of “not noticeably longer” and require sign-off before testing.

Define active hours identically in both arms, including available waiting time—not just time carrying orders. Report earnings distribution and effects by city and courier segment, not only the pooled mean.

Use baseline-adjusted treatment/control comparisons, not historical averages as the counterfactual. Log cancellations, failed deliveries, assignment failures and complaints as safety diagnostics; cost savings driven by worse completion are unacceptable.

Porto is a separate launch gate: pooled earnings gains cannot override a Porto earnings reduction. Legal and Courier Relations must approve the compliance interpretation and protection mechanism. Any guarantee or top-up must be part of the tested policy and counted in courier cost.

Growth: 30-day reorder is exploratory, not a pre-freeze gate. Even customers first exposed on 14 October do not mature until 13 November. Report available short-term indicators separately and agree a post-freeze retention study; do not present immature reorder data as a 30-day result.

5. Power and analysis

The intern’s “two weeks” is not justified. The analyst’s 740 windows assumes independence and addresses detecting a 5% effect—not necessarily proving savings exceed 5%.

From 14 October through 2 November, the maximum is:

14 cities × 6 blocks × 20 days = 1,680 blocks, before data losses.

That is only 2.27 times the nominal requirement. Serial correlation, washout, uneven volume and separate guardrail requirements can consume this headroom.

By 13 October, Data Science must replay the proposed schedule on historical/pilot data and establish:

• Power to pass the savings threshold under plausible true savings, including 6%, 8% and 11%.
• Power for delivery and earnings non-inferiority, especially Porto.
• Sensitivity to carryover, missing data and city differences.

Use inference respecting the randomized schedule, with serial-correlation and small-number-of-cities sensitivity checks. Pre-register estimators, confidence bounds, exclusions, city safety rules and any multiplicity adjustment for city-specific claims.

Feasibility gate: if adequate power cannot fit before the deadline, do not promise an all-city rollout. Extend testing beyond the freeze or return with a narrower decision.

6. Timeline and operating controls

• 30 September: obtain metric-threshold agreement; send Porto’s written assignment-change notice. Confirm legally valid delivery and when its 14-day period expires.
• By 7 October: deliver city switches, instrumentation, audit logs and rollback.
• 8–13 October: technical/safety pilot outside Porto; validate washout, payments and power. Pilot data excluded from confirmatory results.
• 14 October–2 November: confirmatory test, with Porto starting only after the full notice period has elapsed.
• 3–4 November: finalize outcomes, review compliance and make the signed decision.
• 5 November: one-day rollout only if all gates pass.

Operations owns live monitoring; Engineering owns rollback; Courier Relations owns courier communications and payment disputes. Stop affected cities immediately for payment errors, serious safety incidents or predefined severe service degradation. Such stops are recorded, not silently excluded.

No repeated efficacy peeking. If the test ends early for safety or loses its required sample, it does not automatically qualify for launch. Keep the kill switch available throughout peak season.