Talkpush vs micro1

TL;DR

Talkpush lacks depth in evaluating candidate authenticity and soft skills, relying on text-based workflows that fail to capture real-time communication, presence, and behavioral nuance across roles

micro1 provides a more robust, insight-driven vetting process than Talkpush for customer service roles. Through video-based AI interviews, proctoring, and structured assessments, micro1 enables recruiters and hiring managers to make faster, more informed, and fraud-resistant decisions at scale

Current challenge

Talkpush is optimized for screening volume, but lacks depth in assessing:

Spoken communication nuance

Candidate professionalism and presence

Situational thinking and response handling

Fraudulent or ghosted applications

How micro1 Solves This

Founded

Checkmark

2022 - AI-native built for autonomous hiring

Cross

2014 - automation-focused, built for chatbot screening

Interview Depth

Checkmark

Video-based, AI-led adaptive interviews with real situational, behavioural scenarios

Cross

Chatbot or voice-based (text/script driven)

Soft Skill Evaluation

Checkmark

Real-time audio/video analysis capturing tone, clarity, professionalism

Cross

Basic multiple-choice and text responses only

Fraud Prevention

Checkmark

Built-in proctoring, ID checks, keystroke/audio monitoring, consistency tracking

Cross

Limited to basic screening

Insight Quality

Checkmark

Detailed scorecards, video playback, and full transcripts

Cross

Basic form and chatbot data

Workflow Automation

Checkmark

Full automation from sourcing to onboarding

Cross

CRM and messaging automation only

Bilingual Assessment

Checkmark

Supports over 15 languages with native audio analysis

Cross

Limited support

Recruiter Efficiency

Checkmark

Under 3 recruiter hours per 100 candidates screened (~70% savings)

Cross

15-20 recruiter hours per 100 candidates

Cost Efficiency

Checkmark

~$1-3 per candidate with deeper insights

Cross

~$2-5 per candidate, less insightful

Key differentiators

Real Communication, Real Context

Certain roles require spoken empathy, tone management, and script adherence.

micro1 captures actual voice and facial behavior under pressure — Talkpush does not.

Real Communication, Real Context
Fraud and cheating prevention

Fraud and cheating prevention

High-volume roles often attract fake candidates.

micro1 uses proctoring + consistency tracking + soon, ID verification — this protects clients from misrepresentation or bait-and-switch fraud.

Hiring Manager Buy-in

Managers can watch real interview clips, not just read chatbot form responses.

Enables stronger consensus and confidence before offers are made.

Hiring Manager Buy-in

ROI Example: Cost Efficiency

Metric
Candidate Screening
Recruiter time per 100 candidates
Talkpush
Candidate  Screening
~$2–5 (chatbot + screening)
Recruiter time per 100 candidates
15–20 hours
micro1
Candidate  Screening
~$1-3 (AI interview + transcript)
Recruiter time per 100 candidates
<3 hours (summary & review only)

With micro1, your hiring managers don’t need to guess how a candidate might sound — they can see and hear them.

Our platform turns each interview into a dynamic report with soft skills analysis, helping you confidently hire better reps faster

Hear from our clients

micro1 makes it insanely easy to vet and hire the best talent around the world. This has been game changing for us.

Sean Rad - Former CEO of Tinder
Sean Rad
Former CEO of Tinder

We've been using micro1 for large-scale cohort hiring, and it's been a total game changer. The candidate experience has been exceptional, and their AI Recruiter has completely streamlined our process.

Alan Price - Head of Talent at Deel
Alan Price
Head of Talent at Deel

Prior to micro1, our HR department wasted a lot of time on applicants who fabricated their resumes or overlooked excellent candidates with average-looking resumes. Now that we've integrated micro1 into our hiring process, we've saved our HR and Engineering teams many hours and noticed a stark improvement in the quality of candidates entering our pipeline.

Shane Selinger - CEO at GameGrid
Shane Selinger
CEO at GameGrid

With micro1, we reduced our interview staff from 33 to 12 while still conducting 10,000 interviews each month. Now, the team is focused on higher-impact work. Huge kudos to you guys, first really useful AI applications i've come across.

Nathan Sumekh - COO at LegalSoft
Nathan Sumekh
COO at LegalSoft