What is it?
SE Singha Paathai helps Solution Engineers debrief after customer calls without the manual write-up. Paste a Zoom recording link and the system reads what was actually said on the call, then returns three things:
- Call summary — a structured recap of who was on the call, what was discussed, and what was decided
- Next steps — prioritized actions, a follow-up email draft, and CRM-ready notes
- Quality Coach — an evidence-based scorecard on how the SE ran the demo
It is designed to support every SE with a consistent debrief — not to replace the SE or manager judgment.
How post-call analysis works
No file uploads in the default flow — just paste your Zoom cloud recording link.
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1
Sign in to the SE portal.
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2
Open “New analysis” and paste the Zoom recording URL from your “recording is ready” email. Add the passcode if it is not in the link — or paste both in one line.
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3
Click “Analyze call.” The system fetches the audio transcript from Zoom’s share link.
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4
Wait ~10–25 seconds. The UI shows progress and prevents double-submit.
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5
Review results — summary, next steps, and Quality Coach. Copy the follow-up email or print the page.
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6
History and dashboard update — the analysis is saved under your account and feeds your quality metrics.
Call summary
Headline, customer context, attendees, key topics, pain points, objections, competitive mentions, decisions, and open questions.
Next steps
SE and AE action items, customer commitments, a suggested follow-up email, and paste-ready CRM notes.
Quality Coach
Coaching feedback modeled on how an SE manager would QA a recorded demo — honest and evidence-based, not flattering.
- Overall score — 0–10 gauge with a label (Excellent, Strong, Good, Developing, Needs focus)
- Radar chart — visual profile across all six dimensions
- Expandable scorecard — each dimension shows score, written feedback, and transcript evidence
- Strengths, improvements, and missed opportunities — actionable coaching takeaways
Six coaching dimensions
Each dimension is scored 1–5. The AI cites transcript evidence — it does not invent moments that did not happen.
| Dimension | What it measures |
|---|---|
| Discovery | Did you uncover real pain before jumping into the demo? |
| Demo alignment | Did you show capabilities tied to what the customer said they need? |
| Objections | When concerns came up, did you acknowledge and respond with specifics? |
| Value articulation | Did you connect Freshworks to business outcomes — not just list features? |
| Next-step clarity | Did the call end with clear owners, dates, and commitments? |
| Talk balance | Was speaking time reasonably balanced between SE and customer? |
Scoring explained
Per dimension (1–5)
| Score | Label | Meaning |
|---|---|---|
| 5 | Exceptional | Best-in-class execution with clear transcript proof |
| 4 | Solid | Meets SE expectations; only minor gaps |
| 3 | Acceptable | Basic execution with noticeable weaknesses — typical for an average call |
| 2 | Needs improvement | Significant misses or weak handling |
| 1 | Missed | Dimension largely absent or handled poorly |
Overall score (out of 10)
Computed automatically from the six dimension scores. The AI does not assign the overall number directly — this keeps scoring consistent.
| Overall | Label |
|---|---|
| 9.0+ | Excellent |
| 7.0 – 8.9 | Strong |
| 5.5 – 6.9 | Good |
| 4.0 – 5.4 | Developing |
| Below 4.0 | Needs focus |
Scoring is intentionally strict for the MVP. A typical average call should land around 3–3.5 per dimension (~6–7 overall). A score of 5 on any dimension requires specific transcript evidence of excellence.
Demo login
For local demos and shared environments — dummy auth, not production SSO.
Team portal: https://lionpath.benjaminsquare.com
| Role | Password | |
|---|---|---|
| SE | se@freshworks.com |
se123 |
| Manager | manager@freshworks.com |
mgr123 |
Suggested demo path: Log in as SE → New analysis → paste a Zoom recording link → review results → open My dashboard → click a History item to reload a past call.