Freelance UX Designer, Mumbai
About The Client
Priya is a freelance UX designer managing 15–20 active client projects at any given time. She works with startups, agencies, and direct clients — all communicating via email on her custom domain (priya@priyadesigns.in) hosted on Zoho Mail.
Priya was spending nearly 3 hours every morning just replying to emails. As a solo freelancer, every hour on email was an hour she wasn't designing, meeting clients, or growing her business. But she couldn't afford to ignore her inbox — missed messages meant missed projects.
The biggest pain points were the repetitive back-and-forth: clients asking the same questions about timelines, pricing, and revisions that she had already answered in earlier emails. Each new inquiry meant digging through thread history, copying relevant details, and carefully crafting a reply that sounded both professional and warm.
English is Priya's second language. While she's fluent, she found herself spending extra time second-guessing word choices and tone — never fully sure if her replies sounded as confident and polished as she wanted.
Priya discovered EzyReply through a freelancer community on Reddit. What caught her attention was that it worked with Zoho Mail — most AI email tools only supported Gmail or Outlook. She connected her inbox in under 2 minutes: typed her email address, EzyReply auto-detected her Zoho settings via MX record, entered her app password, and the connection test passed immediately.
"I was skeptical. I'd tried Grammarly and ChatGPT for emails, but they didn't know what happened in the thread. EzyReply was different — it actually read the whole conversation before writing anything."
Within her first week, Priya noticed the difference. Instead of staring at a blank compose window, she had three drafts ready for every email. She picked the one closest to what she wanted, made a few tweaks, and hit send. The whole process took under 2 minutes per email instead of 10–15.
The voice learning feature was the game-changer. After about 20 edits, EzyReply started matching her natural style — her preferred greeting ("Hi [Name],"), her sign-off ("Best, Priya"), and her tendency to be warm but direct. The drafts started sounding like her, not like a generic bot.
Less Time on Email
Saved Per Day
Follow-up Rate
Before EzyReply, Priya had a system: she'd batch-process emails twice a day — once in the morning and once after lunch. Even with batching, she was spending 2.5 to 3 hours per session. The hardest part was quoting new projects. A potential client would email asking about her rates for a mobile app design. She'd need to find her pricing doc, look up similar past projects, and craft a response that was detailed enough to win the work but concise enough to respect their time.
EzyReply's context engine changed that. She pasted her pricing guide, portfolio highlights, and FAQ into the context docs. Now, when a client emails asking "What are your rates for a SaaS dashboard?", EzyReply pulls the relevant pricing tier from her docs and weaves it naturally into the draft. No copy-paste. No digging through folders.
The follow-up autopilot caught something Priya hadn't even realized she was bad at: following up. Before EzyReply, she'd send a proposal and wait. If the client didn't reply in 3 days, she'd forget about it. EzyReply started flagging threads that went silent and generating polite follow-up drafts automatically.
"In my third month, I recovered two projects that I'd assumed were dead. It turns out the clients were just busy. The follow-up nudges were exactly what I needed."
Priya also started using the commitment tracker to manage her own promises. When she sent a reply saying "I'll send the wireframes by Thursday," EzyReply detected it, created a tracked commitment, and reminded her 24 hours before the deadline. She stopped missing her own delivery promises — which meant happier clients and fewer stress-induced late nights.
