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Oreka.vn · Aug 2023 – Present

Product-page Q&A for a marketplace without chat

Oreka.vn is a Vietnamese marketplace for second-hand goods that handles the whole process for buyers, from listing to delivery. For security reasons Oreka can't offer chat between buyers and sellers, so every question about an item had to be relayed by the operations team. I designed a Q&A feature that lets buyers ask sellers right on the product page, leaving operations to handle exceptions only.

ROLE
UI/UX Designer
TIMELINE
[TBD]
TEAM
[TBD]
OUTCOME
−70%
manual operations work
Product-page Q&A for a marketplace without chat

The problem

To learn more about an item, a buyer messaged an admin through support; the admin answered if they knew, otherwise contacted the seller, waited, and relayed the reply. Buyers left because it was slow, operations was overloaded relaying messages by hand, and listings from individual sellers were often thin, which meant even more questions. What was missing wasn't a chat channel: each answer reached only the one person who asked, so the next buyer asked the same question again.

>90%of buyers who asked through operations didn't go on to buy
2 hoursof manual relaying by operations [TBD: per day / week / shift?]
3parties losing out: buyers, sellers, operations

Before & after

The old flow put at least one intermediary between every question and its answer. The new flow lets buyers ask directly on the product page and sellers answer themselves.

Flowchart of the old process: a buyer messages an Oreka admin through support, the admin answers or contacts the seller, and suggests other items if the seller never replies

[TBD: a new-flow diagram at the same size as image 01, to pair with it in a before/after slider]

Process

Four phases, one question: how can buyers ask sellers without chat, and without operations standing in the middle of every question? [TBD: total duration and MVP launch date]

  1. Discover
    Gathered feedback on the old flow from buyers, sellers and operations, then looked at how competitors handle Q&A [TBD: competitor names].
    Research
  2. Define
    The gap wasn't the lack of chat. Each answer reached a single person, so the same question kept coming back, and every time it went through operations.
    Insight
  3. Design
    Sketched six directions (listing guidance, reply templates, chatbot, question history, price offers, public comments) and logged the benefits and risks of each. Chose public comments together with the engineering team.
    Design
  4. Validate
    Prototype test with 5 buyers and 5 sellers: 9 of 10 finished the task unaided, buyers took 90 seconds on average and sellers about 120; satisfaction 9/10 and 8/10. Logged four fixes.
    Testing

Solution

Because an answer reached only one person, I turned it into a shared asset: public questions show to every later buyer, private ones only to the buyer and seller involved. Three decisions: buyers ask right on the product page, just below the seller info, with photos or video attached; sellers tap a notification to reach the question, reply, and switch on "Make question public" so one answer serves many buyers; operations only moderates, gets a Slack alert when questions hit the 20 mark, and calls sellers who haven't replied within 24 hours. The flow runs on the app, desktop web and mobile web, with admin screens for operations.

Four buyer screens in the app: an empty Q&A section with an Ask now button, a blank question form, the form filled in with four photos, and the confirmation that the question was sent to the seller
Four seller screens in the app: a new-question notification, the question detail with photos, the reply form with a Make question public toggle, and the posted answer with an edit button

Results

In the first phase after launch, both metrics set at the start met or beat their targets. A CSAT survey with real users is running.

−70%
manual operations work (target −50%) [TBD: unit, period]
+20%
user engagement (target: +20% completed orders) [TBD: metric definition]

Takeaways

  • One public answer does the work of many private ones. Public comments kept the upside of "question history" without adding work for admins.
  • The direction that fixes the root cause isn't always the one to build first. Guiding sellers to write better listings targets the real cause, but could put individual sellers off listing at all.
  • A small sample finds friction; it doesn't prove anything. Ten testers can't settle a result, but they were enough to surface four fixes before launch.