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How to write an RFP for speech analytics

Requirements, questions, and evaluation criteria specific to speech analytics procurement

6 min read

RFPs are critical for speech analytics due to the complex interplay of transcription accuracy, natural language understanding, and integration requirements. A well-defined RFP ensures the selected solution aligns with specific business needs and delivers measurable ROI.

What makes speech analytics RFPs different

Speech analytics RFPs differ significantly from general software RFPs due to the nuances of voice data. Factors like acoustic variations, regional accents, and background noise impact transcription accuracy. Successfully procuring a solution requires detailed evaluation of the vendor's ASR engine, NLP capabilities, and ability to adapt to specific industry terminology.

Furthermore, compliance requirements, such as data privacy and security, are paramount when dealing with sensitive customer conversations.

  • Transcription accuracy across diverse accents and noisy environments
  • Real-time analysis capabilities and low-latency agent assistance
  • Integration with existing CRM, CCaaS, and telephony systems
  • Compliance with relevant data privacy and security regulations (e.g., PCI-DSS, HIPAA)

RFP vs RFI vs RFQ

Here's when to use each document type when procuring speech analytics software.

RFI

Request for Information

Use early in your search to understand what vendors offer and narrow your list. Gather general capabilities, company background, and high-level pricing ranges.

RFP

Request for Proposal

Use when you know your requirements and want detailed vendor solutions and pricing. This is your main evaluation document for shortlisted vendors.

RFQ

Request for Quote

Use when requirements are fixed and you just need final pricing. Often used after RFP when you're ready to negotiate with finalists.

When procuring speech analytics software, an RFI is useful for initial market research and understanding vendor capabilities. An RFP is necessary for a detailed evaluation of technical functionality, integration options, security compliance, and pricing structures.

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Technical requirements checklist

Use this checklist when defining your RFP scope.

Transcription Accuracy

  • Word Error Rate (WER) benchmark for industry-specific vocabulary
  • Support for multiple languages and dialects
  • Ability to handle background noise and acoustic variations
  • Real-time transcription capabilities

Natural Language Processing (NLP)

  • Sentiment analysis and emotion detection
  • Topic categorization and intent recognition
  • Named entity recognition (NER)
  • Customizable keyword and phrase detection

Real-Time Agent Assistance

  • Next-best-action prompts and knowledge base integration
  • Compliance violation alerts and supervisor escalation triggers
  • Real-time sentiment monitoring and emotion detection
  • Automated call summarization and note-taking

Integration Requirements

  • CRM integration (Salesforce, Zendesk, etc.)
  • CCaaS platform integration (Genesys, Five9, etc.)
  • Telephony/PBX system integration
  • Data warehouse and reporting integration

Security and Compliance

  • Data encryption at rest and in transit
  • Role-based access control and audit logging
  • Compliance with PCI-DSS, HIPAA, GDPR, and other relevant regulations
  • Data residency and sovereignty options

Questions to include in your RFP

Transcription & ASR Engine

  • What is the average Word Error Rate (WER) for your ASR engine on contact center audio?
    WER directly impacts the accuracy of downstream analytics.
  • Describe your approach to handling accents, dialects, and background noise.
    Real-world contact centers have diverse audio conditions.
  • Do you offer phonetic indexing in addition to LVCSR?
    Phonetic indexing can be useful for finding rare words or names.
  • What languages and dialects are supported?
    Ensures coverage for your customer base.

NLP & Intent Analysis

  • Explain your approach to sentiment analysis and emotion detection.
    Understanding customer emotion is key to personalized support.
  • How does your system categorize topics and identify customer intent?
    Topic categorization helps identify root causes of call volume.
  • Describe your named entity recognition (NER) capabilities.
    NER helps identify key people, places, and brands mentioned in calls.
  • Can the system be trained to recognize custom keywords or phrases?
    Allows for adaptation to specific business needs.

Real-Time Capabilities

  • What is the average latency between the spoken word and the agent prompt?
    Low latency is crucial for real-time agent assistance.
  • How does the system flag compliance violations in real time?
    Ensures adherence to regulatory requirements.
  • Describe your real-time sentiment monitoring and escalation triggers.
    Allows for immediate intervention during escalations.
  • How does the system provide next-best-action prompts to agents?
    Helps agents resolve issues quickly and efficiently.

Integration & APIs

  • Do you have pre-built connectors for our CRM (specify platform)?
    Seamless CRM integration is essential for workflow automation.
  • How does your system integrate with our CCaaS platform (specify platform)?
    CCaaS integration enables comprehensive call monitoring and analysis.
  • Describe your API and developer resources.
    Enables custom integrations and extensions.
  • What data can be pushed and pulled between your system and other platforms?
    Data exchange is crucial for a unified view of the customer.

Security & Compliance

  • Are you SOC 2 Type II certified?
    SOC 2 certification demonstrates a commitment to data security.
  • Are you HIPAA compliant (if applicable)?
    HIPAA compliance is essential for handling healthcare data.
  • Describe your data encryption methods at rest and in transit.
    Data encryption protects sensitive customer information.
  • What data residency and sovereignty options are available?
    Ensures compliance with data privacy regulations.

Deployment & Scalability

  • What deployment options are available (cloud, on-premise, hybrid)?
    Deployment options should align with your infrastructure and security requirements.
  • Describe your disaster recovery and business continuity approach.
    Ensures system availability in case of unforeseen events.
  • Can your platform handle 10x usage spikes during seasonal peaks or crises?
    Scalability is crucial for handling fluctuating call volumes.
  • What are your data storage and retention policies?
    Data retention policies should comply with regulatory requirements.

Pricing & Licensing

  • Provide a detailed breakdown of your pricing model.
    Transparency in pricing is essential for budget planning.
  • What are the costs for professional services, integration, and data storage?
    Hidden costs can significantly impact the total cost of ownership.
  • Do you offer volume discounts or multi-year contracts?
    Volume discounts can reduce long-term costs.
  • What is included in your standard support and maintenance agreement?
    Ensures access to timely support and updates.

Compliance and security requirements

Depending on your industry, you may need to require proof of these certifications and standards.

PCI-DSS

Required if handling payment card data. If applicable, request current PCI-DSS compliance certificate and AOC

HIPAA

Required for healthcare data. If applicable, request BAA template and HIPAA compliance documentation

GDPR

Required if processing data of eu citizens. If applicable, request GDPR compliance documentation and data processing agreement

CCPA

Required if processing data of california residents. If applicable, request CCPA compliance documentation and data processing agreement

SOC 2 Type II

Required for demonstrating security and availability. If applicable, request SOC 2 Type II report

Evaluation criteria

Here is the suggested weighting for speech analytics RFPs.

Transcription Accuracy Accuracy of speech-to-text conversion across various audio conditions
25%
NLP & Intent Analysis Effectiveness of sentiment analysis, topic categorization, and intent recognition
20%
Real-Time Capabilities Performance and responsiveness of real-time agent assistance features
15%
Integration Capabilities Ease and completeness of integration with existing systems
15%
Security & Compliance Adherence to relevant security standards and compliance regulations
10%
Total Cost of Ownership Implementation, licensing, and ongoing costs
10%
Vendor Support & Reliability Responsiveness and quality of vendor support, platform uptime and stability
5%

Some weights were adjusted based on your priorities.

  • Increase if complex integration landscape exists

Red flags to watch

  • Vague pricing responses

    Vendors who can't provide clear pricing often have hidden costs or complex fee structures that inflate TCO

  • No customer references in your industry

    Lack of relevant references suggests limited experience with your specific requirements and use cases

  • Inability to provide a guaranteed WER for your specific vocabulary

    Indicates a lack of confidence in their transcription accuracy for your use case

  • Limited integration options

    Restricted integration capabilities can create data silos and hinder workflow automation

  • Opaque AI and lack of explainability

    If the system is a "black box" that cannot provide accuracy validation or explain why a certain score was given, it cannot be used for fair agent coaching.

Key metrics to request

Ask vendors to provide benchmarks from similar customers.

Implementation timeline for similar customers

Helps set realistic expectations and identify potential delays

Average time to first value

Indicates how quickly you'll see ROI from the investment

Word Error Rate (WER) on your audio samples

Provides a benchmark for transcription accuracy in your environment

Customer satisfaction (CSAT) improvement after implementation

Measures the impact of the solution on customer experience

Agent handle time reduction

Quantifies the efficiency gains from real-time agent assistance