Interview question bank
Delivery executive screening: COD integrity and navigation ability first
India's gig delivery sector sees 30–40% monthly attrition and rising fraud at onboarding. Screen for cash-handling honesty, local knowledge and genuine vehicle availability before activating a new delivery partner.
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To screen delivery executives in India, the highest-signal questions test COD cash-handling integrity, genuine knowledge of the delivery zone, willingness to manage customer complaints at the door and realistic income expectations given gig-platform fluctuations. Shynsa screens attitude and behaviour — it does NOT verify driving licences, vehicle registration certificates, insurance documents or police verification, which must be managed through separate compliance processes.
Role snapshot
A delivery executive picks up orders from a fulfilment point — restaurant, warehouse, dark store or hub — and delivers them to end customers, handling cash on delivery collection, digital proof of delivery and any customer interaction at the door.
On-road, weather-exposed, app-navigated. Shift-based or flexible hours depending on platform type (gig/flexi vs. captive last-mile). Payment is per-delivery, per-kilometre or fixed monthly depending on the employer model. Vehicle is typically candidate-owned (two-wheeler) for gig roles; employer-provided for captive staff.
Typical hiring pools
- School-pass candidates with two-wheeler and local area knowledge
- Candidates leaving manufacturing or construction for perceived flexibility of gig work
- Existing gig platform workers switching platforms for better incentive structures
- Part-time delivery workers supplementing income from other sources
- Rural-to-urban migrants seeking immediate cash-based income
Monthly attrition estimate in Indian platform-gig delivery
Platform delivery attrition is measured monthly rather than annually because the workforce is highly mobile. Industry commentary from gig-economy researchers puts monthly churn at 30–40% across major platforms, driven by incentive changes, vehicle breakdowns and multi-platform hopping.
Inactivity threshold after which platform accounts are deprioritised or deactivated
Major logistics and food-delivery platforms apply algorithmic deprioritisation to accounts inactive for 72 or more hours. Candidates who do not understand this during onboarding lose income rapidly during their first inactive period and churn.
Cash-on-delivery short-remittance is the most common integrity breach in delivery hiring
Festive season hiring surges expose employers to onboarding fraud — fake documents, duplicate accounts, COD short-remittance and account transfer to unverified operators. Pre-screen integrity signals reduce but do not eliminate this risk.
Central legislation extending social security to gig and platform workers
The Code on Social Security 2020 defines 'gig workers' and 'platform workers' and provides for social security aggregation. State-level implementation is uneven; Karnataka, Telangana and Rajasthan have been among the more active states. Employers onboarding gig delivery staff should verify current state notification status.
The problem
Delivery executive hiring combines two distinct risks: attitude fit (will this person represent the brand at the customer's door?) and integrity (will COD cash be remitted in full?). Without a structured screen, employers discover both problems after they have occurred — a customer complaint or a short-remittance — rather than before onboarding.
Hiring pain points
Why delivery executive screening fails without structure
COD short-remittance discovered only after the fact
Cash-on-delivery fraud — where a delivery executive collects ₹500 or ₹1,000 and remits a lower amount or misreports the transaction as 'customer refused' — is the most common first-30-day integrity failure. Without a pre-screen integrity question set, the signal is only found on the accounts reconciliation spreadsheet.
Vehicle and document fraud at festive hiring peaks
High-volume festive season onboarding (Diwali, Holi) attracts candidates with false licence claims, uninsured vehicles or duplicate account registrations. Document verification is a separate process — the screening layer should surface intent and honesty, not replace verification.
Local area knowledge overestimated
Candidates claim familiarity with a delivery zone but fail their first shift because they cannot navigate unfamiliar residential lanes without 100% GPS reliance. In low-network areas — basement apartments, industrial parks, dense chawls — GPS fails and local knowledge becomes the differentiating skill.
Income expectation mismatch with gig-model earnings
Candidates often expect stable daily earnings regardless of order volume, weather or platform algorithm changes. When their first week produces lower-than-expected earnings due to a slow campaign or a rain day, they exit or platform-hop without completing a first meaningful tenure.
Customer-interaction conduct not screened at all
In last-mile delivery, the delivery executive is the brand's last physical touchpoint with the customer. Candidates who argue with customers about addresses, handle packages roughly or use aggressive language when a delivery is disputed create complaints that damage the platform or brand's NPS — with zero prior warning from an unstructured screening process.
Vehicle condition and reliability not surfaced
A candidate with a two-wheeler in poor mechanical condition — tyres, brakes, battery — will begin missing deliveries or reporting late within days. Vehicle condition is not something Shynsa verifies (that is a physical inspection) but realistic questions about vehicle age, last service and backup plan surface candidates who have no reliable transport.
What to assess
What a delivery executive screen should measure
COD integrity and cash handling (30%)
The candidate's honesty and discipline in handling cash collected from customers on behalf of the employer — without short-remitting, misreporting failed deliveries or pocketing overages.
- In a scenario with extra cash received, immediately and unprompted states they would remit the full amount and report the discrepancy
- Has a mental model for how their cash reconciliation works daily — not vague about amounts
- No prior cash-handling misconduct when probed directly
- Hesitates or hedges before giving the 'correct' answer about extra COD cash
- Cannot explain how they would handle a customer who disputes giving them the correct amount
- Vague about daily cash reconciliation — 'the app handles it'
Local navigation and zone knowledge (20%)
Genuine familiarity with the delivery zone — including low-network areas, dense residential lanes and landmark-based navigation — not just GPS dependence.
- Names specific landmarks, residential society names or lane identifiers within the zone unprompted
- Describes a strategy for navigating when GPS fails or gives wrong directions
- Has delivered or lived in the specific zone for a meaningful period
- Zone knowledge is entirely GPS-dependent with no landmark familiarity
- Cannot name any specific area, society or landmark in the delivery zone
- Has never visited the zone — 'I'll learn it as I go'
Customer-door conduct and complaint handling (20%)
Professional, calm conduct when a customer complains, disputes an order or becomes aggressive at the delivery point.
- In a scenario where a customer claims an item is missing or damaged, candidate explains the reporting process rather than arguing
- Does not make on-the-spot decisions outside their authority (e.g., approving refunds, leaving packages without signature)
- Maintains professional tone in roleplay even when customer is unreasonably aggressive
- Argues with the customer about whether the item was actually in the bag
- Becomes defensive or aggressive when the customer is unpleasant
- Would leave the package without delivery confirmation to avoid confrontation
Income expectations and gig-model realism (15%)
Realistic understanding of gig-model earnings variability — including the effect of incentive changes, weather, algorithm updates and platform rules on weekly take-home.
- Demonstrates awareness that daily earnings vary based on order volume and zones
- Has a plan for low-income weeks — savings buffer, secondary income, reduced expenses
- Income expectation aligns with average earnings data for the zone and platform
- Expects a fixed daily earning regardless of orders
- Has not considered what happens on a rainy day, a platform algorithm change or a campaign pause
- Income expectation significantly exceeds the platform's realistic average earnings
Safety, road discipline and physical commitment (15%)
Willingness to work in physical, weather-exposed, road-based conditions; awareness of safe riding practices; physical endurance appropriate to the role.
- Demonstrates awareness of safe riding practices without prompting (helmet, speed, overloading)
- Accepts the physical demands of the role (heat, rain, long hours on bike) with realistic grounding
- Has a vehicle that is in operational condition for extended daily use
- No mention of safety practices; treats reckless riding or overloading as normal
- Physical endurance commitment is vague or conditional ('I'll see how it goes')
- Vehicle is old, unserviced or described in a way that suggests frequent breakdown risk
Knockouts
Knockout questions: end the interview early when the answer is a hard no
“You collect ₹850 cash from a customer for a COD order. The app shows the order value as ₹800. What do you do with the extra ₹50?”
Pass condition: Candidate says they remit the full ₹850 and report the discrepancy to the platform or hub — unprompted and without pausing to construct the 'correct' answer.
Why: COD short-remittance is the highest-frequency integrity failure in delivery roles. The correct answer delivered with a long pause or only after visible thinking is itself a weak signal.
“Do you currently have a valid driving licence for the vehicle type you plan to use? And when was your vehicle last serviced?”
Pass condition: Candidate states specific licence category and vehicle service date without hedging. Note: Shynsa does NOT verify this — this is a self-disclosure integrity check only. Actual verification is a separate process.
Why: Platform delivery requires a valid licence and roadworthy vehicle. Candidates who lie at this stage are a liability; Shynsa's role is to surface the self-disclosure intent, not to perform the verification.
“A customer refuses to accept the delivery and says the food is cold — it is not. They are angry and demanding a refund. What do you do right now, at the door?”
Pass condition: Candidate explains the situation through the platform app, offers the customer the support contact and does not unilaterally approve a refund or leave the food without resolution — keeping the interaction professional throughout.
Why: Conduct at the customer door is a brand-facing event. Candidates who would argue, abandon the delivery or make unauthorised commitments cause NPS damage that is not recoverable.
“What is your expected daily earning from this role in a typical week?”
Pass condition: Expectation consistent with realistic average earnings for the zone and platform as briefed. No evident shock when realistic earning data is provided.
Why: Income mismatch is the primary driver of gig-delivery exits in weeks 1–3. Surface and resolve this before onboarding.
18 questions
Delivery executive interview question bank
Use Categories 1–4 for first-round screening. Category 5 (scenario and roleplay) for second-round shortlists. Total questions: 26.
COD and cash handling integrity
Surface genuine honesty around cash collection — the highest-risk integrity dimension in delivery roles.
Walk me through exactly what you do from the moment a customer pays COD cash to the moment you close the order on the app.
Tests: Whether the candidate has a mental model for cash reconciliation and reporting — not just 'I collect and hand over'
Strong signals- Step-by-step process: count in front of customer, confirm on app, remit at hub or through app wallet by end of shift, check reconciliation report
- Knows the platform's specific reconciliation process (or describes how they would learn it)
Weak signals- Vague answer: 'I collect the money and that's it'
- No awareness of end-of-shift reconciliation or discrepancy reporting process
- Assumes the app 'tracks it automatically' without any personal accountability step
Have you ever had a cash discrepancy at the end of a shift — either too much or too little — and what did you do?
Tests: Honest self-disclosure; correct process response; no history of unresolved short-remittance
Strong signals- Specific incident (if any) with a described resolution that involved reporting upward, not silently correcting
- If no incident, can describe what they would do if one occurred
Weak signals- Discrepancy resolved by 'topping up from own pocket' without reporting — a common COD fraud pattern
- Cannot recall any cash handling experience
- History of multiple unresolved discrepancies
A customer gives you a ₹2,000 note for a ₹600 order and you do not have change. What do you do?
Tests: Problem-solving under cash-change constraint without compromising delivery completion or integrity
Strong signals- Calls customer in advance if the platform shows COD orders to arrange exact change; at the door, contacts hub for guidance; uses platform wallet or UPI if supported
- Does not leave without completing the delivery or obtaining resolution
Weak signals- 'I'd just keep the extra and settle tomorrow'
- Would leave without completing the delivery
- No process for this — 'I haven't thought about it'
What would you do if a customer claims they already paid online but the app shows COD?
Tests: Process adherence vs. taking the customer's word; escalation vs. improvised resolution
Strong signals- Asks to see the payment confirmation; contacts support through the app before releasing the order; does not guess or make an on-the-spot decision without authorisation
Weak signals- Releases the order on the customer's word alone
- Argues with the customer
- No process — 'I'd just figure it out'
Local knowledge and navigation
Assess genuine zone familiarity — especially for low-network or landmark-dependent areas — rather than GPS-only reliance.
Name five residential areas, landmarks or major roads in the delivery zone we are discussing.
Tests: Actual zone knowledge vs. claimed familiarity
Strong signals- Names five specific, correctly identified locations without hesitation
- Adds detail: 'near the water tank', 'the lane behind the temple', 'the old post office'
- Has lived or worked in the zone for a meaningful period
Weak signals- Cannot name five locations; names are vague or incorrect
- Has never been to the zone — 'I'll use Google Maps'
- Names major arterial roads only — not the residential-level knowledge needed for last-mile delivery
GPS is showing no signal and you are trying to deliver to a basement apartment in a residential complex. What do you do?
Tests: Problem-solving in low-connectivity delivery scenarios — the most common real failure point
Strong signals- Calls the customer for directions; looks for security guard or resident at entrance; uses landmark-based navigation from the last known GPS point
- Has handled this before and describes a specific method
Weak signals- Waits for GPS to reconnect
- Returns the order as 'undeliverable'
- Has never encountered this — no strategy described
What is your plan if traffic is unusually bad on your primary route and you are at risk of missing multiple delivery windows?
Tests: Route planning flexibility; proactive communication with hub and customers; decision-making under pressure
Strong signals- Uses alternate route knowledge; contacts hub proactively to flag risk and request guidance; calls customers nearest delivery-window deadline first to manage expectations
Weak signals- Waits in traffic without communicating
- Marks deliveries as attempted without attempting
- No alternate route knowledge — 'GPS would reroute me'
Customer-door conduct
Assess whether the candidate can maintain professional conduct when a customer is unreasonable, a package is disputed or a situation is ambiguous.
A customer refuses delivery saying the packaging is damaged. The package was intact when you picked it up. What do you do?
Tests: Escalation process adherence; whether the candidate makes on-the-spot unilateral decisions
Strong signals- Photographs the package with the customer present; reports through the platform app immediately; offers the customer the support contact; does not force the delivery or abandon it
- Remains calm and professional throughout
Weak signals- Argues that the package was intact when they left
- Leaves the package and marks as 'delivered' to close the order
- Returns the package without documenting and reporting correctly
A customer is rude and uses abusive language about the delivery being late. How do you respond at the door?
Tests: Professional conduct under verbal aggression at the customer interface
Strong signals- Remains calm; acknowledges the delay without over-explaining; delivers the order; does not match the customer's aggression; reports the interaction if it escalates to threats
Weak signals- Argues back or becomes defensive
- Refuses to deliver the order because of the customer's behaviour
- Becomes visibly shaken or distressed in a way that affects subsequent deliveries
No one answers the door after three knocks and two calls. The order is perishable. What do you do?
Tests: Process adherence for undeliverable orders; honesty in marking attempts
Strong signals- Follows platform protocol: marks attempt, photographs proof, contacts customer through app, waits the specified time window, returns if undeliverable — does not mark as delivered without actual delivery
Weak signals- Leaves the package outside and marks as delivered
- Marks as 'customer not available' after one knock to free up the slot
- No awareness of the platform protocol for undeliverable orders
What would you do if a customer asked you to bring a delivery inside their home rather than hand it at the door?
Tests: Awareness of safety boundaries and policy compliance for delivery at private residences
Strong signals- Politely declines; explains they can only deliver to the door as per platform policy; offers to place the item at the threshold
- Understands this is a personal safety and liability boundary, not personal rudeness
Weak signals- Would go inside without question
- No policy awareness — 'it depends if they seem trustworthy'
- Might comply if asked insistently
Income expectations and platform model
Surface income expectation misalignments and ensure the candidate genuinely understands how gig-model earnings vary before they experience the first slow week.
Explain to me how you think your earnings on this platform will work — how are you paid and what determines how much you earn in a week?
Tests: Genuine understanding of gig-model earnings mechanics vs. assumption of fixed daily income
Strong signals- Correctly identifies per-delivery fee, surge pricing, incentive structures and how order volume and zones affect daily earnings
- Has researched typical earnings for the zone or spoken to existing riders
Weak signals- Expects a fixed daily rate regardless of deliveries completed
- No awareness of incentive structures or zone-based earnings variation
- Believes platform earnings are equivalent to a salaried job
What is your plan if your earnings drop significantly in a week because of rain, a platform algorithm change or a campaign pause?
Tests: Financial resilience and gig-model realism; whether a single bad week would trigger an exit
Strong signals- Has a contingency: savings buffer, secondary income, reduced expenses during low weeks
- Understands that gig income is variable and has mentally accepted this
- Has experienced a similar income dip in a previous gig role and describes how they managed it
Weak signals- No plan — 'that shouldn't happen'
- Would immediately switch platforms or look for another job
- Earning expectation so inflexible that any low week is an exit trigger
What does a 72-hour inactivity window mean for a platform delivery account?
Tests: Platform rule awareness — a critical operational knowledge gap that causes unexpected income disruption
Strong signals- Correctly explains that accounts are deprioritised or deactivated after 72 hours of inactivity on most platforms
- Has a plan for planned absences: notifying the platform, maintaining minimum activity
Weak signals- No awareness of the 72-hour rule
- Believes accounts are unaffected by any period of inactivity
- Has experienced unexplained deprioritisation before without understanding the cause
Safety, physical commitment and account integrity
Screen for safety awareness, physical endurance realism and honesty about past account conduct on delivery platforms.
Walk me through your safety routine before you start a delivery shift — helmet, vehicle check, anything else.
Tests: Whether safety is a genuine habit or a checkbox answer given because it is expected
Strong signals- Names specific pre-shift checks: helmet, tyre pressure, brake check, fuel level, phone mount
- Safety practices are described as natural habits rather than recited policy
Weak signals- 'I just wear a helmet' as the complete answer
- No pre-shift vehicle check habit described
- Safety practices only mentioned after the interviewer prompts specifically
Have you ever had a complaint lodged against you on a delivery platform — customer or hub? What happened?
Tests: Account integrity history; whether the candidate is honest about past complaints; resolution behaviour
Strong signals- If yes: specific incident with a resolution described, learning noted
- If no: confident and unhedged, with a track record that supports the claim
Weak signals- Defensive or evasive about past complaints
- Multiple complaints across platforms with no accountability narrative
- No awareness of complaint mechanisms — implies they have never been held accountable
Have you ever had a delivery account blocked, suspended or transferred to another person?
Tests: Festive-fraud and account-transfer integrity check — a known onboarding risk
Strong signals- Clear 'no' with an understanding of why account transfer is a policy breach
- If past suspension: honest account of the reason and evidence of resolution
Weak signals- Account has been 'given to a friend to manage' during absence — a common fraud pattern
- Evasive about suspension history
- Account transfer treated as a normal and acceptable practice
What would happen to you personally if you worked in heavy rain for 6–8 hours? Would you manage it and how?
Tests: Physical commitment realism; whether the candidate has thought through the actual working conditions
Strong signals- Specific preparation: waterproof gear, reduced speed, dry phone storage
- Has worked in adverse weather before and describes it without dramatisation
- Accepts it as part of the role with a practical management plan
Weak signals- Would not work in heavy rain — 'it's not safe'
- No preparation described
- Has never worked in rain conditions and has no plan
Scoring rubric
Scoring rubric: Delivery Executive
1–5 per dimension, weighted to 100
| Dimension | Weight | 1 — weak | 3 — acceptable | 5 — strong |
|---|---|---|---|---|
| COD integrity and cash handling | 30% | Hesitates or hedges on COD scenario; no clear reconciliation process; history of unresolved discrepancy or evasive answer about past cash handling | Correct COD scenario response delivered after brief pause; has a reconciliation process but vague on specifics; no adverse cash-handling history | Immediate, unprompted correct COD response; specific step-by-step reconciliation process; demonstrates understanding of why accuracy matters |
| Local navigation and zone knowledge | 20% | Cannot name specific locations in the zone; GPS-only dependence with no backup strategy; has never been to the zone | Names some landmarks correctly; has a strategy for GPS failure; some zone familiarity but not deep | Names five or more specific residential-level locations; describes landmark-based navigation from experience; lived or worked in the zone meaningfully |
| Customer-door conduct | 20% | Would argue with or abandon a customer who disputes; no escalation process; aggressive or evasive response in roleplay | Maintains professional tone in roleplay; follows platform escalation process for disputes; occasional improvisation outside authority | Calm, authorised, documented response in all scenarios; never makes on-the-spot decisions outside their authority; photographs, contacts hub, keeps customer informed |
| Income expectations and gig model realism | 15% | Expects fixed daily income; no awareness of gig variability; would exit on first slow week; no contingency plan | Understands earnings variability in principle; some contingency thinking; expectation broadly aligned with zone average | Specific, realistic earnings expectation based on zone research; contingency plan for low-income weeks; 72-hour rule understood |
| Safety, physical commitment and account integrity | 15% | No safety habits described; physical commitment vague; account transfer or suspension history without clear resolution | Standard safety habits mentioned; physical commitment confirmed with minor uncertainty; clean account history or minor past issue resolved | Specific pre-shift safety routine; rain/adverse weather plan; unequivocal clean account history; understands why account transfer is a policy breach |
Decision bands
Fast-track onboarding; allocate to COD-heavy zone with confidence
Proceed; flag specific coaching need (e.g., zone knowledge gap) to onboarding manager
Conduct one more direct cash-handling scenario; probe account history further before proceeding
COD integrity or account integrity concern identified; risk exceeds onboarding value
In your candidates' language
Delivery Executive interview questions in Indian languages
By industry
How delivery executive hiring differs by industry
Logistics & Delivery
Platform and captive last-mile delivery is the primary market for delivery executive hiring — Swiggy, Zomato, Zepto, Amazon, Flipkart logistics arms
Retail
Quick-commerce and hyperlocal retail (Blinkit, JioMart, local dark stores) are heavy delivery executive consumers
Hospitality
Food delivery and cloud kitchen brands (Rebel Foods, Wow! Momo) hire captive delivery executives for brand-consistent last-mile delivery
Franchise & SME Hiring
Franchise partners of major platforms — cloud kitchens, QSR delivery-only outlets — hire their own delivery staff with the same COD and conduct requirements
Healthcare & Nursing
Diagnostic home-collection and pharmacy delivery services hire delivery executives for specimen and medication transport
Avoid
Common screening mistakes
Assuming a driving licence claim is verified during screening
Shynsa and similar AI screening tools cannot verify licences, RC books or insurance. The screening layer surfaces self-disclosure honesty. Document verification must be done separately through physical inspection or a third-party verification service.
Skipping the COD scenario because it 'seems obvious'
The most common integrity failure in delivery roles is COD short-remittance. Candidates who know the right answer but answer it slowly, with a pause, or only after prompting show a weaker integrity signal than candidates who answer immediately and unprompted. Do not skip this question.
Testing language fluency as the primary screen
For delivery executive roles, COD integrity and local navigation knowledge are higher signal than language fluency. A candidate who speaks perfect Hindi but has poor zone knowledge and vague cash-handling answers is a worse hire than one with rougher Hindi and excellent integrity signals.
Not discussing gig-earnings mechanics before onboarding
The largest source of early exits in gig delivery is the first slow week. If the candidate's income expectation was never discussed before they started, the first low-earnings week triggers an exit that could have been prevented by an earnings-expectations conversation during screening.
No safety or account-integrity questions
Safety habits and account-transfer history are screened by very few hiring processes. Both are leading indicators of medium-term risk — unsafe riding increases platform liability, and account transfer is the most common festive-season fraud vector.
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