Build a self-review automation tool

Here is a complete guide to building a Self-Review Automation Tool—a web-based app that allows employees to fill out, manage, and get automated feedback on self-performance reviews. This tool can be used internally within organizations to streamline employee review processes.

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🔧 Tech Stack

• Frontend: React (with Tailwind CSS)

• Backend: Node.js with Express (or use Firebase/Serverless if preferred)

• Database: MongoDB or Firebase Firestore

• Authentication: Firebase Auth or JWT

• AI Feedback (Optional): OpenAI API (for review summaries/insights)

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🧩 Key Features

1. User Login & Dashboard

2. Review Form Creation

3. Auto Save & Submission

4. Performance Rating Logic

5. AI-Powered Feedback Generator

6. Review History & Export Option

7. Admin Panel (optional)

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1. Database Schema Example (MongoDB)

json
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User {
  _id: ObjectId,
  name: String,
  email: String,
  role: String, // 'employee' or 'admin'
  password: String (hashed),
  createdAt: Date
}

SelfReview {
  _id: ObjectId,
  userId: ObjectId,
  period: String, // e.g. "Q1 2025"
  strengths: String,
  improvements: String,
  goals: String,
  rating: Number,
  feedbackSummary: String,
  status: String, // "draft", "submitted", "reviewed"
  createdAt: Date
}

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2. Frontend (React + Tailwind)

SelfReviewForm.jsx

jsx
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import { useState, useEffect } from 'react';
import axios from 'axios';

export default function SelfReviewForm({ user }) {
  const [form, setForm] = useState({
    strengths: '',
    improvements: '',
    goals: '',
    rating: 3,
    status: 'draft'
  });

  const handleChange = e => {
    setForm({ ...form, [e.target.name]: e.target.value });
  };

  const handleSubmit = async () => {
    await axios.post('/api/review', { ...form, userId: user._id });
    alert('Review submitted!');
  };

  return (
    <div className="p-6 bg-white rounded shadow-md max-w-xl mx-auto">
      <h2 className="text-2xl font-bold mb-4">Self Review Form</h2>

      <textarea name="strengths" placeholder="Your strengths..." value={form.strengths} onChange={handleChange} className="w-full mb-4 p-2 border rounded" rows="4" />
      <textarea name="improvements" placeholder="Areas for improvement..." value={form.improvements} onChange={handleChange} className="w-full mb-4 p-2 border rounded" rows="4" />
      <textarea name="goals" placeholder="Future goals..." value={form.goals} onChange={handleChange} className="w-full mb-4 p-2 border rounded" rows="4" />

      <label className="block mb-2 font-semibold">Performance Rating: {form.rating}</label>
      <input type="range" min="1" max="5" name="rating" value={form.rating} onChange={handleChange} className="w-full mb-4" />

      <button onClick={handleSubmit} className="bg-blue-600 text-white px-4 py-2 rounded hover:bg-blue-700">Submit Review</button>
    </div>
  );
}

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3. Backend (Node.js + Express)

routes/review.js

js
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const express = require('express');
const router = express.Router();
const Review = require('../models/Review');

router.post('/', async (req, res) => {
  try {
    const review = await Review.create(req.body);
    res.status(201).json(review);
  } catch (error) {
    res.status(400).json({ error: error.message });
  }
});

router.get('/:userId', async (req, res) => {
  try {
    const reviews = await Review.find({ userId: req.params.userId });
    res.json(reviews);
  } catch (err) {
    res.status(500).json({ error: err.message });
  }
});

module.exports = router;

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4. AI Feedback Generator (Optional)

Use OpenAI’s GPT API to generate a feedback summary:

/api/ai-feedback.js

js
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const { Configuration, OpenAIApi } = require("openai");

const configuration = new Configuration({ apiKey: process.env.OPENAI_API_KEY });
const openai = new OpenAIApi(configuration);

const generateSummary = async (reviewText) => {
  const prompt = `Generate a concise professional feedback summary from the following self-review:nn${reviewText}`;

  const response = await openai.createChatCompletion({
    model: "gpt-4",
    messages: [{ role: "user", content: prompt }],
    max_tokens: 150
  });

  return response.data.choices[0].message.content;
};

module.exports = generateSummary;

Call this function after review submission to store feedbackSummary.

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5. Admin Panel Features

• View all submitted reviews

• Filter by date/user/rating

• Add final reviewer comments

• Export CSV/PDF

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6. Security Tips

• Use bcrypt to hash passwords

• Use jsonwebtoken for secure sessions

• Protect routes with middleware

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7. Deployment Options

• Frontend: Vercel or Netlify

• Backend: Render, Railway, or Heroku

• Database: MongoDB Atlas or Firebase

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🧪 Optional Enhancements

• Email notifications for submissions or reminders

• Review comparison across periods

• Goal tracking dashboard

• Team-wide performance analytics

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Let me know if you’d like the entire source code zipped, admin panel UI, or integration with a specific platform (e.g., Slack, Notion, etc.).