惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

J
Java Code Geeks
F
Fortinet All Blogs
Martin Fowler
Martin Fowler
M
MIT News - Artificial intelligence
G
Google Developers Blog
P
Proofpoint News Feed
Recent Announcements
Recent Announcements
MyScale Blog
MyScale Blog
D
DataBreaches.Net
Stack Overflow Blog
Stack Overflow Blog
月光博客
月光博客
爱范儿
爱范儿
罗磊的独立博客
腾讯CDC
Hugging Face - Blog
Hugging Face - Blog
博客园 - 叶小钗
Vercel News
Vercel News
酷 壳 – CoolShell
酷 壳 – CoolShell
B
Blog
C
Check Point Blog
美团技术团队
宝玉的分享
宝玉的分享
Microsoft Security Blog
Microsoft Security Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
What Looked Simple Until I Started Building the MVP
Miran · 2026-05-29 · via DEV Community

Miran

A product workflow illustration showing a simple shift confirmation feature becoming more complex inside an MVP

At first, I thought shift confirmation would be a small feature.

Someone gets assigned to a job.
They click confirm.
The owner can see it.

That sounded simple enough.

But once I started turning it into an actual MVP, I realized the feature was not really about the button.

It was about everything that happens around the button.


The confirm button was the easy part

The first version in my head was very simple.

A staff member gets a shift.
They see the details.
They click confirm.

Done.

But then I started asking small questions.

What if they do not confirm?
What if they saw the message but forgot to reply?
What if the owner thinks the shift is handled, but the staff member never actually confirmed?

That is when “unconfirmed” stopped being just a label.

It became something the owner needs to notice.

Not because anyone did anything wrong, but because the job time is getting closer and no one wants to find out too late.


“Can’t make it” is not the end of the flow

The other case was even more interesting.

Someone clicks:

Can’t make it

At first, that also sounds simple.

Just mark the person as unavailable.

But the job does not disappear.

The client still expects someone to show up.
The owner still needs to find cover.
Someone else may need to take the shift.

So the shift cannot just become “cancelled.”

It needs to move into another state.

Something like:

This job still exists, but it needs someone else now.

That small difference changed how I thought about the whole flow.


The state became more important than the page

I started thinking less about screens and more about states.

A shift can be waiting for confirmation.
A shift can be confirmed.
A shift can need cover.
A shift can be taken by someone else.

None of these are complicated on their own.

But each one changes what people should see.

The owner needs to know what still needs attention.

The assigned staff member needs a simple action, not a full scheduling system.

A person who might cover the shift needs enough information to decide, but not every private client detail right away.

That last part was something I did not think about at first.


Available shifts needed privacy rules

When I first imagined an “available shifts” page, I thought it would be simple.

Show the open job.
Let someone take it.

But then I realized the details matter.

Before someone accepts a cover shift, maybe they should not see the full address, entry instructions, access notes, or client contact information.

They only need enough to decide:

Can I do this job?
Is the time okay?
Is the area reasonable?

After they accept it, then the full details make sense.

It is a small product decision, but it changes the feeling of the feature.

The page is not just showing open work.

It is controlling when information should become visible.


Time also became less simple than I expected

The same thing happened with time.

A shift is not just a date and time if people are looking at it from different devices or locations.

For a small team, I think it is safer to show everything in the workspace timezone instead of guessing based on each person’s device.

That sounds like a small detail.

But if the time is wrong, the whole product becomes useless.

Someone shows up late.
Someone shows up on the wrong day.
The owner loses trust in the tool.

So even a boring timezone decision becomes important.


What I learned from this part

Building this reminded me that a lot of MVP work is not about adding more features.

It is about deciding what should happen in the boring middle.

What happens after someone clicks confirm.
What happens after someone says they cannot make it.
What the owner needs to see first.
What a staff member should not have to think about.
What information should stay hidden until the right moment.

The confirm button is easy.

The harder part is making sure the button fits into a real workflow.

I am still building this out, and I keep finding small edge cases that were invisible when the idea was only in my head.

That is probably the most useful part of building the MVP.

It forces the messy parts to stop being vague.