Candidate uploads resume and answers voice questions. AI scores retention cases and CS metrics. Recruiter gets a ranked shortlist.

A mid-sized SaaS company is hiring a Customer Success Manager and receives 15–20 applications per day via LinkedIn. The HR manager adds the BuddyBot link to the job posting – and the AI bot begins automated pre-screening immediately.

Each applicant uploads their resume, answers 3–4 qualification questions by voice or text, and receives instant confirmation. The HR manager ends up with a structured ranking of candidates by ARR portfolio, retention cases, and CS metrics – without a single manual screening call.

Why it works

🎙️ Voice answers reveal communication skills – directly in chat, without time pressure
📊 AI analyses resume + answers and instantly builds a structured candidate ranking
⏱️ 80% less time on first-round calls – recruiters focus only on shortlisted candidates
🔗 One click from LinkedIn – no forms, no sign-up, screening done in 4 minutes

KPIs of the solution

📉 Time-to-shortlist reduced by up to 70%
📈 Up to 3× higher completion rate vs. traditional application forms
🎯 Structured candidate data: ARR, retention cases, CS metrics at a glance
💰 From $19/mo – no developer required, no setup fee

Who it is for

Illustrated with a SaaS company – adapts to Fintech, E-Commerce, agencies and any team with ongoing CS hiring. Works with HubSpot, Salesforce, Zapier, Slack and Google Sheets.

How it works

Recruiter posts a CS Manager vacancy on LinkedIn → candidate clicks Apply on Company Website → bot opens in the browser. Uploads resume, answers voice questions about portfolio ARR, retention cases and metrics. AI forms the score — recruiter gets a shortlist without a single call.

Candidate applies for CS Manager vacancy on LinkedIn — bot opens in browser

Candidate sees the vacancy on LinkedIn and clicks Apply — bot opens instantly in the browser, no registration required

AI bot asks voice screening questions to CS Manager candidate

Bot asks voice questions, AI analyzes the transcript: depth of retention cases, specificity of metrics, portfolio scale.

What is evaluated:

❓ How many accounts did you manage simultaneously and what was the total ARR of your portfolio?

✅ Names specific numbers (20–50 accounts, $1M+ ARR), breaks down by segment (enterprise / SMB)

❓ Describe a retention case where a client was at churn risk — what did you do and what was the outcome?

✅ Describes a concrete situation: churn reason, steps taken, measurable result (reduced churn, extended contract)

❓ Which CS metrics did you track — NRR, churn rate, NPS, health score?

✅ Names at least 2–3 metrics, explains how they influenced decisions, gives dynamics

❓ How did you prioritize your portfolio — who got more of your time and why?

✅ Names criteria (ARR, churn risk, health score), describes a system rather than intuition

AI scores each answer 0–100 per criterion and gives a final verdict: ✅ Shortlisted / 🟡 Under Review / ❌ Not a Fit

CS Manager screening results table — AI score, ARR portfolio, status

Results table: Candidate · Resume Score · Portfolio ARR · Retention Case · CS Metrics · Status. Top candidates go to shortlist automatically

How to get started

1. Subscribe to a plan

Starter plan from $19/mo — includes everything needed to launch the bot.

2. Copy the template and book a setup call

After copying the template, book a call with our manager — he will help with configuration.

3. Define your CS Manager qualification criteria

Set up 3–4 voice questions for your vacancy. Recommended questions for CS Manager:

• How many accounts did you manage simultaneously and what was the total ARR of your portfolio?

• Describe a retention case where a client was at churn risk — what did you do and what was the outcome?

• Which metrics did you track — NRR, churn rate, NPS, health score?

• How did you prioritize your portfolio — who got more of your time and why?

4. Add your AI scoring prompt

Example prompt for CS Manager qualification:

You are an AI recruiter. Evaluate the candidate for the Customer Success Manager role based on CV and voice answers. Scoring criteria: 1. Portfolio management experience from $500K ARR. 2. Real retention cases: churn reduction, work with at-risk accounts. 3. Metrics knowledge: NRR, churn rate, NPS, health score. 4. Proactive client work style (QBR, success plan). 5. Structured answers, specific numbers from experience. 6. Ability to work with dissatisfied clients. Give a score 0–100 per criterion and a final verdict: ✅ Shortlisted / 🟡 Under Review / ❌ Not a Fit.

5. Our manager will contact you

The manager will help configure the bot, AI prompt and launch the screening.

What else you can connect

Google Sheets export: all screening results automatically go to a spreadsheet — candidate, score, verdict.

Additional questions: add an industry case or role-play scenario — "Client is threatening to leave for a competitor, your actions".

Multilingual: bot works in English and other languages — for international hiring.

Frequently asked questions

Will a candidate drop off if they do not complete the screening?

In practice, conversion to completed screening is 55–70%. The bot asks 3–4 questions, voice answer takes up to 2 minutes, no registration required.

How does AI evaluate voice answers?

Speech is transcribed and analyzed by GPT against criteria: specificity of numbers (ARR, churn), presence of real retention cases, structure of the answer. Score 0–100 per criterion.

Can I customize the questions for my specific role?

Yes, questions are edited in the no-code builder. You can add industry cases, change the number of questions, or add a portfolio upload.

How many candidates can the bot handle simultaneously?

No limits — the bot works in parallel for all applicants. At 500 applications per day, everyone completes screening within an hour.

CS Manager Screening via LinkedIn: AI Bot