Turn Customer Interviews into Actionable Product Decisions
Transform hours of user research and customer discovery calls into clear product insights. Extract recurring pain points, quantify feature demand, and share verifiable audio clips with your engineering team.
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Fintech Merchant Onboarding Discovery Call (Addis Ababa)
Amharic & English Code-Switching • Merchant Commerce Corpus • 02:18
በአዲሱ የQR payment ሂደት ላይ ደንበኞች ክፍያ ሲፈጽሙ የሚያጋጥማችሁ ትልቁ ችግር ምንድነው?
“When customers make payments using the new QR checkout flow, what is the single biggest friction point you experience?”
የኔትወርክ መቆራረጥ በሚኖርበት ጊዜ SMS confirmation ወዲያውኑ አይደርስም። ደንበኛው ከባንክ ሂሳቡ እንደተቆረጠ ያሳየኛል፣ እኔ ጋር ግን 'Payment Successful' የሚል ማረጋገጫ እስካልመጣ እቃውን መስጠት አልችልም።
“During network latency spikes, the SMS confirmation doesn't arrive immediately. The customer shows me their bank debit notification, but until my terminal says 'Payment Successful', I cannot release the merchandise.”
ይህ ችግር በሳምንት ውስጥ ስንት ጊዜ ያጋጥማችኋል? እንዲሁም በሽያጭ ላይ ምን ያህል ተጽዕኖ አለው?
“How many times a week does this happen, and what is the measurable impact on your daily sales volume?”
Built for Modern Product and User Research Squads
Connect qualitative feedback directly to sprint backlogs without losing the emotional nuance of your customer's voice.
Automated Pain Point Clustering
Stop spending hours tagging transcripts in spreadsheets. Andebet groups customer friction points, recurring objections, and feature requests automatically.
Shareable Audio Evidence Snippets
Show, don't tell. Highlight critical user quotes and generate lightweight audio snippets that embed effortlessly in Notion, Jira, Linear, and Slack.
Bilingual Code-Switching Native
Ethiopian customers naturally blend Amharic, Oromo, and English technical terms like 'QR code', 'reversal', and 'dashboard'. Our engine transcribes both scripts flawlessly.
Cross-Call Customer Repository
Build a permanent, searchable repository of all past user research. When building a new feature, instantly search what 50 past customers said about that specific workflow.
From User Interview to Shipped Feature
How high-velocity product teams turn customer interviews into prioritized sprint backlogs.
Record or Upload User Calls
Import recordings from Zoom, Google Meet, Microsoft Teams, or in-person smartphone voice memos in any standard audio or video format.
Supports MP3, WAV, M4A, MP4
Automated Diarization & Transcription
Our speech engine identifies the interviewer and customer, generating word-level timestamps in Amharic fidel and English with over 96% accuracy.
Fast processing: 1hr audio in < 3 mins
Cluster Insights & Sentiment
Filter quotes by user persona, subscription tier, or recurring theme. Isolate critical feedback on onboarding, usability, or pricing.
Thematic sentiment classification
Embed Quotes in Jira & Linear
Attach exact customer voice clips directly to user stories and tickets, giving your engineers first-hand empathy with real user pain points.
Direct embed links for Slack & Notion
Built for Product, UX, and Operations Teams
See how product and research teams use Andebet to understand customer interviews.
Product Managers
Fintech, SaaS & E-commerceValidate problem discovery hypotheses with real customer quotes before committing engineering resources to development.
UX & Product Designers
Product Design & Design SystemsSpot usability stumbling blocks during concept testing and prototype walkthroughs with exact audio/video timestamps.
Customer Success & Support Leads
Support & Customer OperationsTurn routine onboarding check-in calls and escalation recordings into proactive product improvement suggestions.
Founders & Exec Teams
Startups & Growth Stage TechStay connected to the ground reality of your user base without spending 20 hours a week sitting on live discovery calls.
Frequently Asked Questions About Customer Call Analysis
Answers to common questions from product managers and UX research leads.
Andebet transcribes recorded user discovery calls with high acoustic accuracy in Amharic, Afaan Oromo, and English. It then categorizes recurring user objections, workflow bottlenecks, and feature requests into visual synthesis cards with direct links to audio evidence.
Yes. You can highlight any sentence in the transcript and generate a shareable audio snippet link that embeds directly into Slack, Jira tickets, Linear issues, or Notion documentation.
Yes. In East African tech and commerce hubs, bilingual conversations are standard. Andebet's acoustic engine tracks intra-sentence code-switching without dropping context or garbling technical terminology.
All customer interview audio files and transcripts are encrypted end-to-end with AES-256 at rest and TLS 1.3 in transit. Your recordings are strictly confidential to your workspace and are never exposed or used to train open models without written enterprise authorization.
Yes. Andebet maintains a unified customer intelligence repository. You can search for keywords like 'pricing', 'onboarding', or 'export' across months of accumulated interview sessions to see how customer sentiment has evolved over time.
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Turn recorded Ethiopian conversations into searchable truth.
Join researchers, media networks, and global organizations extracting structured knowledge from Amharic, Afaan Oromo, and Tigrinya audio.
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