Random sampling misses the calls that actually cost you the sale, the customer, or the compliance fine. DialDesk CallIQ scores every single sales and support call — automatically, on your own scorecard — so nothing slips through.
Industries we help audit calls for
The call where an agent fumbled the objection and lost a hot lead is statistically unlikely to be the one your QA analyst happened to pick.
Wrong information given to a customer, a compliance miss, a rude interaction — if it's not in your sample, it doesn't exist on your dashboard.
You can't fix an agent's real weak spot from 4 calls a month. Feedback becomes generic instead of specific to what's actually happening.
Every new agent, every new campaign, every seasonal spike means more calls — and your QA headcount can't grow at the same rate.
Even where scores exist, they sit in disconnected sheets — no trend lines, no root-cause pattern, no link back to conversion or CSAT.
Without full coverage, one bad sampled call can define a month's rating — while ten great calls next to it go uncounted.
DialDesk CallIQ listens to and scores every inbound and outbound call — sales and support — the moment it ends. Same scorecard, same standard, applied consistently, forever. No sampling. No blind spots. No "we'll get to it next week."
A sales call and a support call succeed on completely different things. DialDesk CallIQ scores each on what actually matters for that team.
| Agent | Calls | Conv % | Gap |
|---|---|---|---|
| Agent A | 58 | 44% | Objection handling |
| Agent B | 52 | 29% | Closing |
| Agent C | 61 | 37% | Discovery |
Score Opening, Purpose, Discovery, Objection Handling, Control, Closing and CX on every call. Classify leads as hot, warm, or cold and see exactly where warm leads are stalling — before your next forecast call, not after.
| Agent | Calls | Avg | Status |
|---|---|---|---|
| Agent D | 32 | 90% | Good |
| Agent E | 28 | 81% | Good |
| Agent F | 30 | 58% | Needs Work |
Score Opening, Understanding, Resolution, Communication, Control, Process and Closing on every call. Sub-parameter drill-downs show exactly which micro-behavior — late opening, no probing, missed closing summary — is dragging FCR down.
Every score traces back to a parameter, a sub-parameter, and the moment in the call that caused it.
Every call is broken down into the exact behaviors that matter — and each parameter drills further into sub-parameters.
Serious misses — no closing attempt, incorrect info given, no qualification — automatically cap the call score, so a critical failure can never be masked by a good average elsewhere.
No more guessing who needs help with what. Team-wide and per-agent priorities are ranked automatically by how much they impact conversion or resolution.
Every agent gets a living scorecard — strengths, gaps, and trend lines — instead of a single number once a month.
See where calls are actually being lost — premature solutions, repeat issues, hold-SOP failures, WhatsApp deflection without recovery — ranked by frequency.
A per-agent rollup — parameter scores, red flags, and assigned training — lands in your inbox every week. No one has to build a report by hand again.
No lengthy implementation. No IT project. Connect your existing telephony and go — the same 72-hour promise DialDesk is known for.
Plug into your existing telephony, dialer, or CRM — no hardware, no number porting.
0 – 24 hrsStart from Sales or Support templates, or bring your own parameters and score caps.
24 – 48 hrsWe run a sample batch against your scorecard and fine-tune with your team before go-live.
48 – 66 hrsEvery new call is picked up, transcribed, and scored automatically — dashboards ready from day one.
66 – 72 hrsSame goal — better calls. Very different odds of catching what matters.
| Feature | DialDesk CallIQ | Manual Sampling QA | Spreadsheet / Excel QA |
|---|---|---|---|
| Calls reviewed | 100% | 2–5% typical | 2–5% typical |
| Time to go live | 72 hours | 2–4 weeks | Manual, ongoing |
| Consistency across reviewers | Always identical | Varies by reviewer | Varies widely |
| Critical-failure detection | Automatic, every call | Only if sampled | Only if sampled |
| Coaching priorities | Auto-ranked by impact | Manual judgment | Manual judgment |
| Scales with call volume | Instantly | Requires more headcount | Requires more headcount |
| Cost per call reviewed | Fraction of a rupee | High (analyst time) | High (analyst time) |
"We kept seeing the same thing across sales and support floors: teams paying good QA analysts to listen to a handful of calls a month, while the calls that actually lost a deal or upset a customer sat unheard. You can't manually audit every call — so we built software that does it for you, at the same standard, every single time. This is the first version of that. We're onboarding a small group of pilot teams now."
"We found out in week one that three of our top-performing agents on paper were passively accepting 'send details on WhatsApp' as a close — something two years of monthly sampling never caught."
"The sub-parameter drill-down is what sold our team. We're not guessing who needs coaching anymore — it's ranked for us every week."
"Set up in under 72 hours, first full-coverage report the next morning after go-live. Our old QA process took three weeks to tell us the same thing about four calls."
Book a demo and we'll walk you through a live audit of your calls — Sales or Support — so you can see exactly what full coverage looks like against your own scorecard.
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