Priya runs a small software company with one co-founder. They have three hundred paying customers and a growing list of trial users. Priya handles product, sales and support. Every message from the website lands in her inbox, and she answers every one herself.
This is what her week looks like, before and after.
Monday before
Priya starts the day with forty unread messages. Twelve ask how to connect the product to another tool. Eight ask about annual pricing. Five ask how to add a team member. The rest are a mix of bug reports, feature requests and one enterprise prospect. She spends the morning answering, and the enterprise prospect waits until the afternoon because it needs thought.
Wednesday before
A product release is due. Priya plans to spend the day on it, but a wave of trial users arrives from a newsletter mention. They all have setup questions. She answers until 9pm. The release slips to Friday.
Friday before
Priya finally ships the release and spends the evening replying to messages that came in while she was focused. She notices she has answered the same integration question more than thirty times this week. Other owners know the feeling, as described in restaurant owners and the evenings lost to messages.
What changes
Priya publishes clear answers to her top twenty questions and adds an assistant trained on her site. It answers routine questions at any hour, from her own pages, and passes anything else to her with the details captured. How assistants free founders from support is covered in how AI chatbots free founders from the support inbox.
Monday after
Priya opens her inbox to eight messages instead of forty. The routine questions have been answered overnight. What is left are the enterprise prospect, two bug reports and a thoughtful feature request. She replies to the prospect first, while they are still keen.
Trial user: How do I add a teammate? Assistant: The team settings guide explains that you can invite teammates from the settings page by entering their email. Each plan includes the number of seats listed on the pricing page.
Wednesday after
The newsletter wave arrives again. This time, setup questions are answered as they come in. Priya spends the day on the release, checking in twice to read the questions the assistant passed to her.
Friday after
The release ships on time. Priya reads a summary of the week's conversations and notices that many trial users ask about one missing integration. She adds it to the roadmap. The questions have become product research rather than a burden.
Staying close to customers
Founders often fear that automating support will distance them from customers. In practice, reading conversations, rather than typing every reply, gives a clearer picture of what customers need. Early-stage patterns are covered in early stage startups and their first customer questions.
Connecting to the inbox
Captured questions can go to the founder's inbox so nothing is missed, as explained in how to connect your chatbot to your support inbox.
The questions that still need a founder
Enterprise deals, sensitive complaints, bug reports that need investigation and customers who are about to leave still deserve the founder's attention. The difference is that the founder now has time to give them properly.
Getting started
SpideyChat for startups answers routine questions from your own pages at any hour and passes the important ones to you. Write down your ten most repeated questions this week, publish the answers and add the assistant. Try SpideyChat on your own site, or read about handover on the features page.