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Hiring in IT Services & Product Companies is Broken— Here's Why

Resumes lie. Interviews get proxied. Joiners ghost on day one. And every hiring manager pays the price in revenue, attrition, and reputation.

Apr 12, 20269 min readCommitSure Research
Industry overview

The scale of hiring in IT Services & Product

IT services and product companies in India and globally hire at relentless scale. From mid-sized SIs running 5,000-engineer benches to product startups racing to ship, hiring is the single biggest growth lever and the single biggest leak. Each role you mis-hire costs 6 to 9 months of salary in lost productivity, rebadging, and project slippage.

1.6M+
Annual IT hires (India)
across services & product
$30K
Average bad-hire cost
per engineer (mid-level)
12-18%
Roles filled with proxies
as per industry audits
27%
Offer-to-join drop-off
candidates ghost after acceptance
The core problems

Where the it services & product hiring stack leaks money

Real scenarios. Real cost. Ranked by severity and average dollar impact per incident.

Problem severity index

Higher score = higher business risk (0-100)

Risk

Average $ cost per incident

Indicative loss per failed hire / event

Cost

Fake resumes & inflated experience

92/100

Scenario: An engineer claims 6 years on React with three Fortune 500 clients. Two weeks in, you discover the GitHub is empty, the references are friends, and the LinkedIn was edited last week.

Impact: $30K-$60K in onboarding cost, 60+ days of project delay, and a manager who has to ramp a replacement from scratch.

Proxy interviews

88/100

Scenario: The candidate aces three rounds of system design. On day one, they cannot explain their own resume project. Someone else cleared the loop.

Impact: Loss of trust in the entire interview panel, 90 days of project derailment, and an immediate PIP that drains manager time.

Offer-stage ghosting

76/100

Scenario: Candidate signs the offer, attends pre-onboarding, then disappears on joining day, often with a counter-offer they never disclosed.

Impact: Backfill loop restarts, billing window with the client slips, and the lost role costs 1.5 months of recruiter capacity.

High early attrition (0-6 months)

81/100

Scenario: 23% of new joiners leave within six months. Most cite mismatched expectations that were never surfaced during interviews.

Impact: Each early exit costs 1.2x annual salary in re-hiring + ramp + project rework.

Poor screening signals

70/100

Scenario: Recruiters rely on keyword stuffing in ATS. 'React + 5y' returns 4,000 profiles, of which 200 are fake and 1,500 are unverified.

Impact: Hiring managers waste 12 hours/week on unfit profiles. TAT balloons from 28 days to 65.

Lack of trust between client, vendor, and candidate

84/100

Scenario: Clients no longer trust vendor benches. Vendors do not trust the candidate's claims. Candidates do not trust the offer letter will close.

Impact: Deals lose 8-12% margin on extra verification. Top engineers ghost vendors who feel transactional.
Why the old playbook fails

Why resumes, interviews, and referrals stopped working

The IT hiring stack was built for a different era - one where resumes were notarised, interviews were physical, and reputation moved through closed networks. In 2026, every layer of that stack has been gamed.

Resumes are AI-rewritten and impossible to verify at scale - keyword density is meaningless.

Remote video interviews opened the door to industrial-grade proxy operations across Tier-2 and Tier-3 cities.

Referrals are now monetised - candidates pay people to refer them, breaking the trust signal completely.

Background checks happen post-offer, by which time the role, the team, and the budget are already committed.

There is no shared, portable record of whether a candidate actually delivered on prior commitments.

How CommitSure solves this

Verified commitments. Real consequences. Measurable lift.

Every solution below is built around the same primitive: a verified commitment that both sides sign and that follows the candidate everywhere they go.

Solution impact: time, cost, trust

% improvement per feature, on a 0-100 scale

Lift

Verified identity & work-history contract

What it does: Every candidate signs an enforceable digital commitment that ties their identity, claimed experience, and joining intent.

How it solves it: Government-ID + biometric + employer-attested experience are bound to a tamper-proof commitment record before the interview even begins.

Time
-35%
Cost
-28%
Trust
+88

Proxy-Shield interview verification

What it does: A live identity check at every interview round, anchored to the same commitment record signed at application.

How it solves it: Random in-interview liveness pings, voice-print match, and screen-share fingerprinting. One mismatch and the commitment is instantly breached on the candidate's permanent trust profile.

Time
-22%
Cost
-41%
Trust
+94

Offer-Lock with real consequences

What it does: Both the candidate and the company sign a joining commitment with mutual, calibrated stakes.

How it solves it: If the candidate ghosts, their public CommitSure trust score drops and other employers see it. If the company revokes the offer, the candidate is auto-compensated. Ghost rates collapse.

Time
-18%
Cost
-33%
Trust
+91

Portable hiring reputation

What it does: A single, public, verified track record of every commitment a candidate has kept across employers.

How it solves it: Every completed project, on-time delivery, and clean exit is logged as a kept commitment. Hiring managers see real performance, not LinkedIn endorsements.

Time
-31%
Cost
-24%
Trust
+96

Trust-weighted screening

What it does: Instead of keyword filters, recruiters filter by commitment trust score, joining-rate, and verified domain experience.

How it solves it: ATS plug-in surfaces only candidates with verified history above a configurable trust threshold, cutting screening time from days to hours.

Time
-47%
Cost
-38%
Trust
+82
Before vs After CommitSure

The numbers, side by side

Every row is a real lever your hiring P&L cares about.

Hiring metrics — Without vs With CommitSure

Normalised to 0-100 within each row for visual comparison

Δ Impact
Metric
Without CommitSure
With CommitSure
  • Time-to-hire
    62 days average
    24 days average
  • Cost per hire
    $8,400
    $3,200
  • Offer-to-join rate
    73%
    96%
  • Proxy / fraud cases
    1 in 8 hires
    <1 in 200
  • First-90-day retention
    77%
    95%
  • Hiring-manager NPS
    +12
    +58
Real impact · case study

From 22% offer-ghosting to 4% in a single quarter - while cutting cost-per-hire by 61%.

Anonymised illustrative scenario · Mid-size IT services firm (1,800 engineers)

Before

TA team of 24 recruiters running 300 monthly closures. 1 in 8 hires turned out to be proxied or misrepresented. Client escalations rose every quarter. Bench utilisation dropped to 71%.

After CommitSure

After rolling out CommitSure-verified hiring across all delivery accounts, joining rate jumped to 96%, time-to-hire fell from 58 days to 23, and clients began requesting CommitSure verification by name in MSAs.

Monthly hires — before vs after

Closed offers per month, last two quarters

Velocity

Where bad hires drained money

Share of hidden hiring loss, % of total

Cost mix

Hire-quality dimensions — before vs after

Multi-dimensional lift across the candidate trust profile

Quality

Stop Guessing. Start Hiring with Trust.

Bring verified commitments to every offer your team rolls out across it services & product. Watch ghost-rates collapse, time-to-hire compress, and trust become a measurable input - not a hopeful output.