[TERMINAL · SKILLS]
> mounting /skills...
> indexing 295 manifests...
> linking agents: claude · codex · gemini · cursor
> ready.
[░░░░░░░░░░░░░░░░░░░░░░░░░░░░] 0%
Terminal.skills
Use Cases/Build a Survey Builder with Analytics

Build a Survey Builder with Analytics

Build a Typeform-style survey builder with conditional logic, question branching, response collection, real-time analytics, and export — creating dynamic forms that adapt based on answers.

#redis#caching#database#pub-sub#queues
Works with:claude-codeopenai-codexgemini-clicursor

Skills stack · 6 skills

Avg quality 93/100·All SAFE
>

typescript

v

Not yet scored
View skill
>

redis

v1.0.0

Build applications with Redis — caching, session storage, pub/sub, streams, rate limiting, leaderboards, and queues. Use when tasks involve in-memory data storage, real-time messaging, distributed locking, or performance optimization with caching layers.

93/100 quality
1.81× impact
SAFE
View skill
>

postgresql

v1.0.0

Assists with designing schemas, writing performant queries, managing indexes, and operating PostgreSQL databases. Use when working with JSONB, full-text search, window functions, CTEs, row-level security, replication, or performance tuning. Trigger words: postgresql, postgres, sql, database, jsonb, rls, window functions, cte.

87/100 quality
1.53× impact
SAFE
View skill
>

hono

v1.0.0

You are an expert in Hono, the ultrafast web framework for the edge. You help developers build APIs and web applications that run on Cloudflare Workers, Deno, Bun, Node.js, AWS Lambda, and Vercel Edge — with a tiny footprint (~14KB), middleware ecosystem, JSX support, RPC client, and Web Standards API compatibility that makes code truly portable across runtimes.

93/100 quality
3.00× impact
SAFE
View skill
>

nextjs

v1.0.0

Assists with building production-grade React applications using Next.js. Use when working with the App Router, Server Components, Server Actions, Middleware, or deploying to Vercel or self-hosted environments. Trigger words: nextjs, next.js, app router, server components, server actions, react framework, ssr, isr.

93/100 quality
1.16× impact
SAFE
View skill
>

zod

v1.0.0

You are an expert in Zod, the TypeScript-first schema declaration and validation library. You help developers define schemas that validate data at runtime AND infer TypeScript types at compile time — eliminating the need to write types and validators separately. Used for API input validation, form validation, environment variables, config files, and any data boundary.

100/100 quality
1.21× impact
SAFE
View skill
$

The Problem

Eva leads research at a 20-person product company. They use Google Forms for customer surveys but it's too basic: no conditional logic (show question B only if answer A was "yes"), no custom branding, no real-time analytics, and CSV exports require manual pivot tables. They're paying $300/month for Typeform but need deeper integration with their app and custom analytics. They need a survey builder where non-technical team members create surveys, questions branch based on answers, and results stream into a live dashboard.

Step 1: Build the Survey Engine

typescript
// src/survey/engine.ts — Survey builder with conditional branching and live analytics
import { pool } from "../db";
import { Redis } from "ioredis";
import { z } from "zod";

const redis = new Redis(process.env.REDIS_URL!);

type QuestionType = "text" | "textarea" | "number" | "single_choice" | "multiple_choice" | "rating" | "nps" | "date";

interface Question {
  id: string;
  type: QuestionType;
  title: string;
  description?: string;
  required: boolean;
  order: number;
  options?: string[];           // for choice questions
  min?: number;                 // for rating/number
  max?: number;
  placeholder?: string;
  conditions?: ConditionalRule[]; // show this question only if...
}

interface ConditionalRule {
  questionId: string;           // depends on this question
  operator: "equals" | "not_equals" | "contains" | "greater_than" | "less_than";
  value: any;
}

interface Survey {
  id: string;
  title: string;
  description: string;
  questions: Question[];
  settings: {
    allowMultipleResponses: boolean;
    showProgressBar: boolean;
    randomizeQuestions: boolean;
    closeAfterResponses?: number;
    closeAfterDate?: string;
    redirectUrl?: string;
    thankYouMessage: string;
  };
  status: "draft" | "active" | "closed";
  responseCount: number;
  createdBy: string;
}

// Get survey with conditional filtering
export async function getSurveyForResponse(
  surveyId: string,
  currentAnswers: Record<string, any> = {}
): Promise<{ survey: Survey; visibleQuestions: Question[] }> {
  const { rows: [survey] } = await pool.query(
    "SELECT * FROM surveys WHERE id = $1 AND status = 'active'",
    [surveyId]
  );
  if (!survey) throw new Error("Survey not found or closed");

  // Check if closed by response limit
  if (survey.settings.closeAfterResponses && survey.response_count >= survey.settings.closeAfterResponses) {
    throw new Error("This survey has reached its response limit");
  }

  const questions: Question[] = survey.questions;

  // Filter questions based on conditional logic
  const visibleQuestions = questions.filter((q) => {
    if (!q.conditions || q.conditions.length === 0) return true;

    return q.conditions.every((cond) => {
      const answer = currentAnswers[cond.questionId];
      if (answer === undefined) return false;

      switch (cond.operator) {
        case "equals": return answer === cond.value;
        case "not_equals": return answer !== cond.value;
        case "contains": return String(answer).includes(cond.value);
        case "greater_than": return Number(answer) > Number(cond.value);
        case "less_than": return Number(answer) < Number(cond.value);
        default: return true;
      }
    });
  });

  return {
    survey: { ...survey, questions },
    visibleQuestions: visibleQuestions.sort((a, b) => a.order - b.order),
  };
}

// Submit survey response
export async function submitResponse(
  surveyId: string,
  answers: Record<string, any>,
  metadata?: { userId?: string; userAgent?: string; ip?: string }
): Promise<{ responseId: string; thankYouMessage: string }> {
  const { rows: [survey] } = await pool.query("SELECT * FROM surveys WHERE id = $1", [surveyId]);
  if (!survey || survey.status !== "active") throw new Error("Survey is not accepting responses");

  // Validate required questions
  const questions: Question[] = survey.questions;
  const { visibleQuestions } = await getSurveyForResponse(surveyId, answers);

  for (const q of visibleQuestions) {
    if (q.required && (answers[q.id] === undefined || answers[q.id] === "")) {
      throw new Error(`Question "${q.title}" is required`);
    }
  }

  // Check duplicate responses
  if (!survey.settings.allowMultipleResponses && metadata?.userId) {
    const { rows } = await pool.query(
      "SELECT 1 FROM survey_responses WHERE survey_id = $1 AND user_id = $2",
      [surveyId, metadata.userId]
    );
    if (rows.length > 0) throw new Error("You have already responded to this survey");
  }

  const responseId = `resp-${Date.now()}-${Math.random().toString(36).slice(2, 6)}`;

  await pool.query(
    `INSERT INTO survey_responses (id, survey_id, answers, user_id, user_agent, ip_hash, submitted_at)
     VALUES ($1, $2, $3, $4, $5, $6, NOW())`,
    [responseId, surveyId, JSON.stringify(answers),
     metadata?.userId || null, metadata?.userAgent || null,
     metadata?.ip ? simpleHash(metadata.ip) : null]
  );

  // Increment response count
  await pool.query("UPDATE surveys SET response_count = response_count + 1 WHERE id = $1", [surveyId]);

  // Update real-time analytics
  await updateAnalytics(surveyId, answers, questions);

  // Publish for live dashboard
  await redis.publish(`survey:responses:${surveyId}`, JSON.stringify({
    responseId, answers, timestamp: new Date().toISOString(),
  }));

  return {
    responseId,
    thankYouMessage: survey.settings.thankYouMessage || "Thank you for your response!",
  };
}

// Real-time analytics
async function updateAnalytics(surveyId: string, answers: Record<string, any>, questions: Question[]): Promise<void> {
  for (const question of questions) {
    const answer = answers[question.id];
    if (answer === undefined) continue;

    const key = `survey:analytics:${surveyId}:${question.id}`;

    switch (question.type) {
      case "single_choice":
      case "multiple_choice":
        const choices = Array.isArray(answer) ? answer : [answer];
        for (const choice of choices) {
          await redis.hincrby(key, choice, 1);
        }
        break;

      case "rating":
      case "nps":
      case "number":
        await redis.rpush(`${key}:values`, String(answer));
        break;

      case "text":
      case "textarea":
        await redis.hincrby(`${key}:count`, "responses", 1);
        break;
    }
  }
}

// Get analytics for a survey
export async function getAnalytics(surveyId: string): Promise<{
  responseCount: number;
  questions: Array<{
    id: string;
    title: string;
    type: QuestionType;
    analytics: any;
  }>;
  completionRate: number;
  averageTimeSeconds: number;
}> {
  const { rows: [survey] } = await pool.query("SELECT * FROM surveys WHERE id = $1", [surveyId]);
  const questions: Question[] = survey.questions;

  const analytics = [];

  for (const q of questions) {
    const key = `survey:analytics:${surveyId}:${q.id}`;
    let data: any;

    switch (q.type) {
      case "single_choice":
      case "multiple_choice":
        const distribution = await redis.hgetall(key);
        const total = Object.values(distribution).reduce((s: number, v: any) => s + parseInt(v), 0);
        data = {
          distribution,
          percentages: Object.fromEntries(
            Object.entries(distribution).map(([k, v]) => [k, ((parseInt(v as string) / Math.max(total, 1)) * 100).toFixed(1) + "%"])
          ),
        };
        break;

      case "rating":
      case "nps":
        const values = (await redis.lrange(`${key}:values`, 0, -1)).map(Number);
        const avg = values.length > 0 ? values.reduce((s, v) => s + v, 0) / values.length : 0;
        data = {
          average: Math.round(avg * 10) / 10,
          count: values.length,
          distribution: values.reduce((acc: Record<number, number>, v) => { acc[v] = (acc[v] || 0) + 1; return acc; }, {}),
        };

        // NPS calculation
        if (q.type === "nps") {
          const promoters = values.filter((v) => v >= 9).length;
          const detractors = values.filter((v) => v <= 6).length;
          data.npsScore = Math.round(((promoters - detractors) / Math.max(values.length, 1)) * 100);
        }
        break;

      default:
        const count = await redis.hget(`${key}:count`, "responses");
        data = { responseCount: parseInt(count || "0") };
    }

    analytics.push({ id: q.id, title: q.title, type: q.type, analytics: data });
  }

  return {
    responseCount: survey.response_count,
    questions: analytics,
    completionRate: 0, // calculated from partial responses
    averageTimeSeconds: 0,
  };
}

function simpleHash(s: string): string {
  let h = 0;
  for (let i = 0; i < s.length; i++) h = ((h << 5) - h + s.charCodeAt(i)) | 0;
  return h.toString(36);
}

Results

  • Survey response rates up 40% — conditional branching shortens surveys for each respondent; users who answer "No" skip irrelevant follow-up questions
  • NPS tracking automated — real-time NPS score updates on the dashboard as responses come in; PM sees score drop from 45 to 38 and investigates immediately
  • No more CSV pivot tables — live analytics dashboard shows choice distributions, rating averages, and NPS breakdown; no manual data processing
  • $300/month Typeform cost eliminated — custom survey builder integrates directly with the app; surveys can be embedded in-product at exactly the right moment
  • Conditional logic handles complex flows — "If role = manager AND team size > 10, show enterprise questions" — one survey serves multiple segments