Customer support · Rush by Hike

An AI-powered complaint system for Rush

From long, ignored texts to voice-first support, and a real call when it matters most.

Role
Product Designer
Team
2 PDs, 3 PMs, 10+ engineers, QA
Category
Customer support
Support opens: Report new issue, connecting with the support team
Natasha joins and replies with a voice note
A voice reply about a specific game transaction

In short

Nobody reads support. So we let it speak.

Context

Rush is a skill-based gaming platform where players compete in Carrom, Ludo, Call Break and more, for real money.

Its complaint system (CCMS) replied in long, complex texts. Most users skipped them, so even resolved tickets went unread, and trust slowly wore away. Behind it, 5 agents were handling 10,000+ tickets a day. A simpler, more human channel could win users back, especially on the "hard side".

The old CCMS: tickets marked resolved, answered with long English paragraphs from the help desk

The challenge

Fixing tickets wasn't enough. We wanted support that's fast, precise and empathetic, with less friction at every step, using AI to handle even the hard cases with care.

The dream state

Users didn't want a voice system. They wanted a real person who could fix their problem. Voice was the way there.

Research kept confirming it: a voice agent, especially in Hindi, builds trust. We expected it to lift N1 and N3 retention.

Who we serve

Basic English
Comfortable with simple words, not long sentences.
Visual first
Graphics land better than paragraphs.
Playing to recover
Most keep playing to win back their losses.
Why Rush
A friendlier UI than competitors.
Call support
Valued for gaming, deposit and withdrawal (GDW) issues.
Alok, 30Transport business owner · WB

Loss-making

Games played
14,450
Lifetime winnings
₹20,88,725
Deposited
₹2,24,657
Withdrawn
₹2,10,855

On Rush

  • Used to spend ₹50k+ a week; spends less after losses.
  • Believes hackers and bots play on Rush.
  • Stopped raising tickets: past ones stayed pending.
  • Doesn't fully understand TDS.

Hopes

  • Swap the business for driving a taxi, and more family time.
  • Save for the children's education and a home.

Struggles

  • ₹1.5 lakh in debt from COVID and loans taken to play.
  • Sees real-money gaming as gambling, juaa.
Farzaan, 22Security guard · Delhi

Profit-making

Games played
5,217
Lifetime winnings
₹35,04,417
Deposited
₹10,16,819
Withdrawn
₹7,81,523

On Rush

  • Redeposited winnings as cashback to make up for TDS.
  • Delighted there's no TDS on Rush.

Hopes

  • Open a grocery store and grow financially.
  • Buy a house for the family.
  • Play more apps for a better combined income.

Struggles

  • Recognises only a few basic English words.
  • Sticks to a few tables; believes busier ones are rigged.
Vishnu, 21Student · Gorakhpur, UP

Profit-making

Games played
3,500+
Lifetime winnings
₹6,21,550
Deposited
₹2,44,129
Withdrawn
₹2,34,880

On Rush

  • Plays higher tables to recover losses.
  • Rides out losing streaks until back in profit.
  • Knows how Rush support works.

Hopes

  • A nudge to take breaks before chasing losses.
  • Support on call, with tips to play better.

Struggles

  • Unstable income; has borrowed from friends.
  • Plays across apps, but can't make a steady profit.

What users told us

We ran a health-check survey with ~2,000 daily cash users, then deep dives with 15 hard-side users who had used support in the last 30 days. We also studied complaint systems across real-money gaming.

The takeawayUsers wanted voice or calls, and answers in hours, not days.

Also on the list: clear refund policies, replies in their own language, and help with payment and game issues.

The plan

It touched every user and many teams, so aligning took weeks. We agreed on a phased rollout:

MVP · shipped

After many rounds with PMs and engineers, the MVP came down to six things:

The MVP happy flow, screen by screen: reporting an issue, finding an agent, and Natasha resolving it with voice notes

The happy flow, end to end.

Negative NPS

Negative NPS flow, step 1Negative NPS flow, step 2Negative NPS flow, step 3Negative NPS flow, step 4Negative NPS flow, step 5Negative NPS flow, step 6Negative NPS flow, step 7Negative NPS flow, step 8Negative NPS flow, step 9

To test voice input early, we offered it only to unhappy users, who could leave feedback by speaking.

Testing caught
Recording delays, slow responses and a long list of edge cases, all fixed. It also added a second entry point from the wallet screen, where users manage deposits and withdrawals.
A gentle nudge
When a game, deposit or withdrawal goes wrong, users land on the home screen, where the support icon animates briefly (for a configurable time), then stops.

Why voice?

Users need real-time help, but voice isn't always comfortable, say, in a crowded metro. So we tested voice with transcripts against voice only.

Most chose voice only. Their WhatsApp explained whyAbout 90% of their messages were voice notes.

Anyone who prefers text can still switch back to the old flow at any point.

V1 · under the hood

Mostly AI, ML and engineering work:

V2.1: a call when it matters · the dream state

The MVP landed well, so we prioritised V2.1 over the already-designed V2. It's for Super Hard Side and Potential Hard Side users, the 20% who drive about 80% of revenue. The key feature: request a call, and speak to someone right away.

The problem
High-value users lacked proactive, personal support. In tense moments, frustration grew and trust broke.
The opportunity
Step in with empathy at the most emotional moments, so users feel heard when it counts.
How it works
An AI model spots high-stakes moments and offers a call. A dedicated account manager calls back within 15–30 minutes, and their details sit in the profile and in Rush Support.

It's triggered when it matters most

Case: deposit pending

Deposit pending: the wallet screenDeposit pending: support steps in with a voice prompt and Get call backDeposit pending: the call back is requested

Case: a call was already requested, and the flow triggers again

Call already requested, step 1Call already requested, step 2Call already requested, step 3Call already requested, step 4Call already requested, step 5Call already requested, step 6Call already requested, step 7Call already requested, step 8

V2: voice for everyone · rolled out

Next, V2 let every user describe their problem by voice. Other flows follow the same idea: confused about TDS? You get a voice note, and a button straight to the answer.

Edge cases
If the system can't understand, users get two or three tries before it falls back to a regular ticket.

Impact · A/B tested

An A/B test of the MVP against the old flow, with 19K high rollers. It scaled to 100% of users within 1.5 months.

Reflections

Share early
I shared prototypes early and often to keep everyone aligned. With little data, we debated every choice properly.
Push, or step back
Balancing many opinions taught me where to push, and when to step back.
Beyond the screen
Working across so many teams made me think about constraints, long-term scale, and bringing in the right people at the right time.

Thank you to my brother Yaman for trusting me with this, and to the team for building it so beautifully. We're still working on bringing calls, like V2.1, to everyone.

Thanks for reading (or probably just scrolling).