Unlocking faster freight matching through instant bid responses

  • company

  • Convoy

  • Role

  • Product Designer

  • industry

  • Freight

  • when

  • Q2‘22 – Q1‘23

Carriers using Convoy's marketplace spent too much time waiting to hear back on bids — time they couldn't afford to lose when planning their schedule. I joined a cross-functional team to redesign the bidding experience from the ground up, replacing slow, uncertain responses with an instant decision on every bid: acceptance, rejection, or counteroffer.

 

The work spanned two rollout phases, multiple rounds of qualitative and quantitative research, and close collaboration with data science, product, brokerage, and marketing. Key design decisions included whether to allow multiple counteroffer rounds, how long to hold a bid open, and how to communicate rejection without discouraging carriers from rebidding.

 

The result was a faster, more transparent bidding experience that carriers trusted. 86% of surveyed carriers preferred instant auctions over timed auctions, and the feature was launched across the platform, resulting in a 70% increase in intents per hour.

gif

About Convoy

The Convoy Carrier App connects drivers and fleets to a digital freight marketplace, allowing them to find, bid, and manage loads in real time. My design work focused on improving booking flows, visibility, and feedback loops to reduce driver downtime and increase trust in automated bidding systems.

Project goal

Reduce the amount of time carriers have to wait by providing an immediate response after they place a bid.

The problem

Long bid latency caused carriers to lose booking opportunities and reduce engagement. Reducing response time was critical to increasing match rates, improving carrier trust, and boosting volume velocity in a competitive freight marketplace.

Opportunity

Convoy’s existing bidding experience had critical limitations. The carriers’ number one complaint about bidding was that they felt that Convoy didn’t value their time and they spent too much time waiting for a response back on their bid.

Instant Auctions was highly successful

66%

of matches made through counteroffers

+5%

Margin improvement

Testimonials

Here’s how much carriers loved it

  • "This is the best of the best. In the past, I couldn’t always accept Convoy loads that I had won, because I’d booked another load while waiting for a response. Now, I know right away if I’m going to haul it, so I don’t need to search for another load. This significantly reduces the time it takes me to plan and book my schedule!”

    Ghareeb Nawaz

    Stryker Trans

  • I’m able to make smarter bids because I’m getting instant feedback. I can submit as many bids as I want and sometimes Convoy provides a counteroffer. This is a huge benefit to carriers like me.”

    Josh Rickards

    Rickards Transportation Services LLC

Initial research

Understanding how carriers work

I teamed up with our UX research to evaluate whether or not this is plausible, and likely from a UX perspective: Faster (immediate) feedback on bidding → Each carrier will be able to evaluate more shipments →

The likelihood of finding the next shipment goes up →

Carriers will come to Convoy more often.

Research methodology

Testing Method

• 11 moderated interviews via Zoom

• Explored current booking behaviors and pain points

• Tested Instant Auction concept — gathered reactions, expectations, and concerns

Participant Demographics

Sampling Criteria:

  • Carrier segment (intent-based)
  • Carrier size (driver → small → large)

Mix of drivers, dispatchers, and fleet carriers representing varied booking goals and behaviors

What we learned

  • Speed wins

    Carriers loved getting an instant decision — it streamlined their workflow, making load booking faster, smoother, and more predictable.

  • Counteroffers felt fair

    The idea of counteroffers was exciting and felt like a fairer, more transparent system.

  • They wanted to push back

    Carriers expected a back-and-forth negotiation — they wanted to counter our counteroffer, not just accept or reject.

  • Rejection needed an explanation

    They wanted clarity on what happens after rejection and preferred their bids remain “in play” rather than immediately dismissed.

  • Rejection killed momentum

    After a rejected counter or bid, many chose not to rebid, feeling discouraged or undervalued by the process.

Solutions

Tradeoff: negotiation experience vs. model integrity

🎨 Design Perspective :Carriers wanted a natural back-and-forth negotiation, like traditional brokerage — more human, flexible, and fair.🧠 Data Science Perspective :Multiple counters would destabilize pricing models, creating feedback loops and reducing accuracy.✅ Decision : Limit to one counteroffer cycle to preserve model reliability. Carriers can rebid manually, but each is treated as a new negotiation.

Acceptance window

We allowed a 15-minute acceptance window for logistics. We did not provide a timer, but instead adjusted the booked now rate to the counteroffer price and showed expired under counteroffer info item.

Tradeoff: User Sentiment vs. Market Efficiency

When a carrier’s bid was rejected, the team debated whether to “soften” the rejection message — for example, by adding friendlier language (“Your bid wasn’t accepted this time, but we’d love to see you bid again soon!”) or subtle hints (“Try bidding slightly higher next time”).The question was: should the system empathize or optimize?

 

🎨 Design tradeoff: Empathy vs. Clarity 💡 Decision: Chose a firm rejection to encourage realistic bids and reduce confusion. 📊 Impact: Faster market resolution, cleaner data, fewer double acceptances.

Rollout Phase 1- 30%

Measuring Impact & Investigating Friction

📊 Monitored feedback loops: CS calls, in-app feedback, brokerage data. 💬 10 carrier interviews: Explored pain points around rates and trust. 🔍 Outcome: Identified pricing perception as key barrier → informed next iteration vs. rollback decision.

Key findings

  • Carriers prefer instant auctions

    Faster responses and less waiting improved overall satisfaction and planning efficiency.

  • Low counteroffers discouraged re-bids

    Carriers perceived early offers as unfair or uncompetitive, reducing engagement.

  • Urgency gap in counteroffers

    Without time pressure, even acceptable offers failed to drive immediate action.

  • Counteroffers often below market

    Pricing too close to “accept now” rates led to distrust and fewer matches.

  • Conservatice initial pricing

    Encouraged “last-minute” bidding behavior and slowed early marketplace activity.

  • Lack of bid status transparency

    Carriers grew frustrated by unclear communication about held bids and wanted control to cancel.

Rollout Phase 2

Simplify the Flow & Re-Engage Carriers

🧩 Removed acceptance timer → Simplified decision flow; fewer expirations. 💬 Revised decline modal → Set clearer expectations, encouraged re-bidding. 📈 Outcome: Increased rebid rate, improved carrier retention metrics.

To validate rollout readiness, I partnered with Data Science to design a structured survey and coordinated 100 carrier calls through the CS team to quantify preference between Instant and Timed Auctions — ensuring experience quality was confirmed before a full 100% launch.

86%

of surveyed carriers indicated preference for IA

70%

increase of bids per hour

11%

point increase in zero-touch automation rate

Learnings and reflection

Designing for both user trust and algorithmic stability required tradeoffs.

Carriers valued clarity and fairness more than unlimited negotiation, proving that simplicity can still feel empowering when expectations are clear.

 

Thanks for reading 😊

Icons

Additional Projects

Graphic depicting a mountain peak at sunset cropped in a circle with the words RANGE CRAZY above and below.

See Project

LinkedIn

Resume

© Copyright 2026

Alana Vaccaro

Unlocking faster freight matching through instant bid responses

  • company

  • Convoy

  • Role

  • Product Designer

  • industry

  • Freight

  • when

  • Q2‘22 – Q1‘23

Carriers using Convoy's marketplace spent too much time waiting to hear back on bids — time they couldn't afford to lose when planning their schedule. I joined a cross-functional team to redesign the bidding experience from the ground up, replacing slow, uncertain responses with an instant decision on every bid: acceptance, rejection, or counteroffer.

 

The work spanned two rollout phases, multiple rounds of qualitative and quantitative research, and close collaboration with data science, product, brokerage, and marketing. Key design decisions included whether to allow multiple counteroffer rounds, how long to hold a bid open, and how to communicate rejection without discouraging carriers from rebidding.

 

The result was a faster, more transparent bidding experience that carriers trusted. 86% of surveyed carriers preferred instant auctions over timed auctions, and the feature was launched across the platform, resulting in a 70% increase in intents per hour.

gif

About Convoy

The Convoy Carrier App connects drivers and fleets to a digital freight marketplace, allowing them to find, bid, and manage loads in real time. My design work focused on improving booking flows, visibility, and feedback loops to reduce driver downtime and increase trust in automated bidding systems.

Project goal

Reduce the amount of time carriers have to wait by providing an immediate response after they place a bid.

The problem

Long bid latency caused carriers to lose booking opportunities and reduce engagement. Reducing response time was critical to increasing match rates, improving carrier trust, and boosting volume velocity in a competitive freight marketplace.

Opportunity

Convoy’s existing bidding experience had critical limitations. The carriers’ number one complaint about bidding was that they felt that Convoy didn’t value their time and they spent too much time waiting for a response back on their bid.

Instant Auctions was highly successful

66%

of matches made through counteroffers

+5%

Margin improvement

Testimonials

Here’s how much carriers loved it

  • "This is the best of the best. In the past, I couldn’t always accept Convoy loads that I had won, because I’d booked another load while waiting for a response. Now, I know right away if I’m going to haul it, so I don’t need to search for another load. This significantly reduces the time it takes me to plan and book my schedule!”

    Ghareeb Nawaz

    Stryker Trans

  • I’m able to make smarter bids because I’m getting instant feedback. I can submit as many bids as I want and sometimes Convoy provides a counteroffer. This is a huge benefit to carriers like me.”

    Josh Rickards

    Rickards Transportation Services LLC

Initial research

Understanding how carriers work

I teamed up with our UX research to evaluate whether or not this is plausible, and likely from a UX perspective: Faster (immediate) feedback on bidding → Each carrier will be able to evaluate more shipments →

The likelihood of finding the next shipment goes up →

Carriers will come to Convoy more often.

Research methodology

Testing Method

• 11 moderated interviews via Zoom

• Explored current booking behaviors and pain points

• Tested Instant Auction concept — gathered reactions, expectations, and concerns

Participant Demographics

Sampling Criteria:

  • Carrier segment (intent-based)
  • Carrier size (driver → small → large)

Mix of drivers, dispatchers, and fleet carriers representing varied booking goals and behaviors

What we learned

  • Speed wins

    Carriers loved getting an instant decision — it streamlined their workflow, making load booking faster, smoother, and more predictable.

  • Counteroffers felt fair

    The idea of counteroffers was exciting and felt like a fairer, more transparent system.

  • They wanted to push back

    Carriers expected a back-and-forth negotiation — they wanted to counter our counteroffer, not just accept or reject.

  • Rejection needed an explanation

    They wanted clarity on what happens after rejection and preferred their bids remain “in play” rather than immediately dismissed.

  • Rejection killed momentum

    After a rejected counter or bid, many chose not to rebid, feeling discouraged or undervalued by the process.

Solutions

Tradeoff: negotiation experience vs. model integrity

🎨 Design Perspective :Carriers wanted a natural back-and-forth negotiation, like traditional brokerage — more human, flexible, and fair.🧠 Data Science Perspective :Multiple counters would destabilize pricing models, creating feedback loops and reducing accuracy.✅ Decision : Limit to one counteroffer cycle to preserve model reliability. Carriers can rebid manually, but each is treated as a new negotiation.

Acceptance window

We allowed a 15-minute acceptance window for logistics. We did not provide a timer, but instead adjusted the booked now rate to the counteroffer price and showed expired under counteroffer info item.

Tradeoff: User Sentiment vs. Market Efficiency

When a carrier’s bid was rejected, the team debated whether to “soften” the rejection message — for example, by adding friendlier language (“Your bid wasn’t accepted this time, but we’d love to see you bid again soon!”) or subtle hints (“Try bidding slightly higher next time”).The question was: should the system empathize or optimize?

 

🎨 Design tradeoff: Empathy vs. Clarity 💡 Decision: Chose a firm rejection to encourage realistic bids and reduce confusion. 📊 Impact: Faster market resolution, cleaner data, fewer double acceptances.

Rollout Phase 1- 30%

Measuring Impact & Investigating Friction

📊 Monitored feedback loops: CS calls, in-app feedback, brokerage data. 💬 10 carrier interviews: Explored pain points around rates and trust. 🔍 Outcome: Identified pricing perception as key barrier → informed next iteration vs. rollback decision.

Key findings

  • Carriers prefer instant auctions

    Faster responses and less waiting improved overall satisfaction and planning efficiency.

  • Low counteroffers discouraged re-bids

    Carriers perceived early offers as unfair or uncompetitive, reducing engagement.

  • Urgency gap in counteroffers

    Without time pressure, even acceptable offers failed to drive immediate action.

  • Counteroffers often below market

    Pricing too close to “accept now” rates led to distrust and fewer matches.

  • Conservatice initial pricing

    Encouraged “last-minute” bidding behavior and slowed early marketplace activity.

  • Lack of bid status transparency

    Carriers grew frustrated by unclear communication about held bids and wanted control to cancel.

Rollout Phase 2

Simplify the Flow & Re-Engage Carriers

🧩 Removed acceptance timer → Simplified decision flow; fewer expirations. 💬 Revised decline modal → Set clearer expectations, encouraged re-bidding. 📈 Outcome: Increased rebid rate, improved carrier retention metrics.

To validate rollout readiness, I partnered with Data Science to design a structured survey and coordinated 100 carrier calls through the CS team to quantify preference between Instant and Timed Auctions — ensuring experience quality was confirmed before a full 100% launch.

86%

of surveyed carriers indicated preference for IA

70%

increase of bids per hour

11%

point increase in zero-touch automation rate

Learnings and reflection

Designing for both user trust and algorithmic stability required tradeoffs.

Carriers valued clarity and fairness more than unlimited negotiation, proving that simplicity can still feel empowering when expectations are clear.

 

Thanks for reading 😊

Icons

Additional Projects

LinkedIn

Resume

© Copyright 2026

Alana Vaccaro

Unlocking faster freight matching through instant bid responses

  • company

  • Convoy

  • Role

  • Product Designer

  • industry

  • Freight

  • when

  • Q2‘22 – Q1‘23

Carriers using Convoy's marketplace spent too much time waiting to hear back on bids — time they couldn't afford to lose when planning their schedule. I joined a cross-functional team to redesign the bidding experience from the ground up, replacing slow, uncertain responses with an instant decision on every bid: acceptance, rejection, or counteroffer.

 

The work spanned two rollout phases, multiple rounds of qualitative and quantitative research, and close collaboration with data science, product, brokerage, and marketing. Key design decisions included whether to allow multiple counteroffer rounds, how long to hold a bid open, and how to communicate rejection without discouraging carriers from rebidding.

 

The result was a faster, more transparent bidding experience that carriers trusted. 86% of surveyed carriers preferred instant auctions over timed auctions, and the feature was launched across the platform, resulting in a 70% increase in intents per hour.

gif

About Convoy

The Convoy Carrier App connects drivers and fleets to a digital freight marketplace, allowing them to find, bid, and manage loads in real time. My design work focused on improving booking flows, visibility, and feedback loops to reduce driver downtime and increase trust in automated bidding systems.

Project goal

Reduce the amount of time carriers have to wait by providing an immediate response after they place a bid.

The problem

Long bid latency caused carriers to lose booking opportunities and reduce engagement. Reducing response time was critical to increasing match rates, improving carrier trust, and boosting volume velocity in a competitive freight marketplace.

Opportunity

Convoy’s existing bidding experience had critical limitations. The carriers’ number one complaint about bidding was that they felt that Convoy didn’t value their time and they spent too much time waiting for a response back on their bid.

Instant Auctions was highly successful

66%

of matches made through counteroffers

+5%

Margin improvement

Testimonials

Here’s how much carriers loved it

  • "This is the best of the best. In the past, I couldn’t always accept Convoy loads that I had won, because I’d booked another load while waiting for a response. Now, I know right away if I’m going to haul it, so I don’t need to search for another load. This significantly reduces the time it takes me to plan and book my schedule!”

    Ghareeb Nawaz

    Stryker Trans

  • I’m able to make smarter bids because I’m getting instant feedback. I can submit as many bids as I want and sometimes Convoy provides a counteroffer. This is a huge benefit to carriers like me.”

    Josh Rickards

    Rickards Transportation Services LLC

Initial research

Understanding how carriers work

I teamed up with our UX researcher to evaluate whether or not this is plausible, and likely from a UX perspective: Faster (immediate) feedback on bidding → Each carrier will be able to evaluate more shipments →

The likelihood of finding the next shipment goes up →

Carriers will come to Convoy more often.

Research methodology

Testing Method

• 11 moderated interviews via Zoom

• Explored current booking behaviors and pain points

• Tested Instant Auction concept — gathered reactions, expectations, and concerns

Participant Demographics

Sampling Criteria:

  • Carrier segment (intent-based)
  • Carrier size (driver → small → large)

Mix of drivers, dispatchers, and fleet carriers representing varied booking goals and behaviors

What we learned

  • Speed wins

    Carriers loved getting an instant decision — it streamlined their workflow, making load booking faster, smoother, and more predictable.

  • Counteroffers felt fair

    The idea of counteroffers was exciting and felt like a fairer, more transparent system.

  • They wanted to push back

    Carriers expected a back-and-forth negotiation — they wanted to counter our counteroffer, not just accept or reject.

  • Rejection needed an explanation

    They wanted clarity on what happens after rejection and preferred their bids remain “in play” rather than immediately dismissed.

  • Rejection killed momentum

    After a rejected counter or bid, many chose not to rebid, feeling discouraged or undervalued by the process.

Solutions

Tradeoff: negotiation experience vs. model integrity

🎨 Design Perspective :Carriers wanted a natural back-and-forth negotiation, like traditional brokerage — more human, flexible, and fair.🧠 Data Science Perspective :Multiple counters would destabilize pricing models, creating feedback loops and reducing accuracy.✅ Decision : Limit to one counteroffer cycle to preserve model reliability. Carriers can rebid manually, but each is treated as a new negotiation.

Acceptance window

We allowed a 15-minute acceptance window for logistics. We did not provide a timer, but instead adjusted the booked now rate to the counteroffer price and showed expired under counteroffer info item.

Tradeoff: User Sentiment vs. Market Efficiency

When a carrier’s bid was rejected, the team debated whether to “soften” the rejection message — for example, by adding friendlier language (“Your bid wasn’t accepted this time, but we’d love to see you bid again soon!”) or subtle hints (“Try bidding slightly higher next time”).The question was: should the system empathize or optimize?

 

🎨 Design tradeoff: Empathy vs. Clarity 💡 Decision: Chose a firm rejection to encourage realistic bids and reduce confusion. 📊 Impact: Faster market resolution, cleaner data, fewer double acceptances.

Rollout Phase 1- 30%

Measuring Impact & Investigating Friction

📊 Monitored feedback loops: CS calls, in-app feedback, brokerage data. 💬 10 carrier interviews: Explored pain points around rates and trust. 🔍 Outcome: Identified pricing perception as key barrier → informed next iteration vs. rollback decision.

Key findings

  • Carriers prefer instant auctions

    Faster responses and less waiting improved overall satisfaction and planning efficiency.

  • Low counteroffers discouraged re-bids

    Carriers perceived early offers as unfair or uncompetitive, reducing engagement.

  • Urgency gap in counteroffers

    Without time pressure, even acceptable offers failed to drive immediate action.

  • Counteroffers often below market

    Pricing too close to “accept now” rates led to distrust and fewer matches.

  • Conservatice initial pricing

    Encouraged “last-minute” bidding behavior and slowed early marketplace activity.

  • Lack of bid status transparency

    Carriers grew frustrated by unclear communication about held bids and wanted control to cancel.

Rollout Phase 2

Simplify the Flow & Re-Engage Carriers

🧩 Removed acceptance timer → Simplified decision flow; fewer expirations. 💬 Revised decline modal → Set clearer expectations, encouraged re-bidding. 📈 Outcome: Increased rebid rate, improved carrier retention metrics.

To validate rollout readiness, I partnered with Data Science to design a structured survey and coordinated 100 carrier calls through the CS team to quantify preference between Instant and Timed Auctions — ensuring experience quality was confirmed before a full 100% launch.

86%

of surveyed carriers indicated preference for IA

70%

increase of bids per hour

11%

point increase in zero-touch automation rate

Learnings and reflection

Designing for both user trust and algorithmic stability required tradeoffs.

Carriers valued clarity and fairness more than unlimited negotiation, proving that simplicity can still feel empowering when expectations are clear.

 

Thanks for reading 😊

Icons

Additional Projects

LinkedIn

Resume

© Copyright 2026