Directly

Name: Directly
Brand: Directly
Rating: 2.8 (11 reviews)

Redefine your customer service strategy with cutting-edge AI and on-demand solutions for the modern enterprise.

Est 2011|Valuation $117.5M|Raised $67M|15 Ref Customers

LinkedIn 12K|Web traffic 304K|FTEs 383|HQ San Francisco, California, US

Published Sep 29, 2026

01Common complaints

If the organization requires a simple helpdesk: For primarily ticketing, reporting, and standard workflow needs, a standard CX suite (Zendesk or Salesforce Service Cloud) may be a simpler procurement.
If the organization cannot operationalize gig governance: Lack of QA, escalation, and compliance oversight may create inconsistency risk with a distributed expert model.
If pricing transparency is required: Organizations that require published tiers and predictable per-seat pricing may find an outcome-based enterprise negotiation model harder to evaluate.
If issues are mostly low-skill and repetitive: Pure automation or lower-cost outsourced staffing may provide better economics in those cases.
If data sensitivity is extreme: Unless the vendor can demonstrate strict access controls, monitoring, and contractual restrictions suitable for the organization’s risk profile, this model may be inappropriate.

- If the organization requires a simple helpdesk: For primarily ticketing, reporting, and standard workflow needs, a standard CX suite (Zendesk or Salesforce Service Cloud) may be a simpler procurement. - If the organization cannot operationalize gig governance: Lack of QA, escalation, and compliance oversight may create inconsistency risk with a distributed expert model. - If pricing transparency is required: Organizations that require published tiers and predictable per-seat pricing may find an outcome-based enterprise negotiation model harder to evaluate. - If issues are mostly low-skill and repetitive: Pure automation or lower-cost outsourced staffing may provide better economics in those cases. - If data sensitivity is extreme: Unless the vendor can demonstrate strict access controls, monitoring, and contractual restrictions suitable for the organization’s risk profile, this model may be inappropriate.

Deal disqualifiers (poor fit)

Highly regulated environments where independent contractor access is difficult to govern without substantial controls
Very small teams that require transparent list pricing and rapid self-serve onboarding
Use cases requiring strict script adherence or highly uniform brand voice without exception

Known limitations from public information

Limited third-party review data in public review sites (in the snapshot reviewed), which makes it harder to triangulate buyer satisfaction.
Mobile expert app sentiment appears weak in app-store signals (2.3/5 rating in the region-specific view), implying potential UX or reliability issues for experts.
Security detail depth is limited in public documentation (SOC 2 Type II is referenced, but detailed control matrices and pen-test disclosures appear to be provided under NDA).

- Limited third-party review data in public review sites (in the snapshot reviewed), which makes it harder to triangulate buyer satisfaction. - Mobile expert app sentiment appears weak in app-store signals (2.3/5 rating in the region-specific view), implying potential UX or reliability issues for experts. - Security detail depth is limited in public documentation (SOC 2 Type II is referenced, but detailed control matrices and pen-test disclosures appear to be provided under NDA).

Roadmap / future features

Roadmap details were not clearly documented in the public sources reviewed. Prospective buyers should request a roadmap and product development plans during diligence.

02Why they buy

Unique selling points supported by sources (vendor/press; validate in diligence)

Elastic expert capacity: the vendor claims the ability to scale capacity rapidly without conventional hiring; the vendor’s marketing includes specific scaling claims that should be validated.
Outcome-oriented commercial options: vendor describes pay-for-resolution or outcome-based pricing models; contract definitions and dispute resolution processes require careful negotiation.
Expert/power-user support model: vendor and press materials describe routing to domain experts and using reputation systems to surface answers; organizations should evaluate expert sourcing, vetting, and quality control processes in diligence.

- Elastic expert capacity: the vendor claims the ability to scale capacity rapidly without conventional hiring; the vendor’s marketing includes specific scaling claims that should be validated. - Outcome-oriented commercial options: vendor describes pay-for-resolution or outcome-based pricing models; contract definitions and dispute resolution processes require careful negotiation. - Expert/power-user support model: vendor and press materials describe routing to domain experts and using reputation systems to surface answers; organizations should evaluate expert sourcing, vetting, and quality control processes in diligence.

Where competitors have advantages

More mature procurement processes and broader third-party review coverage (Zendesk, Salesforce)
Potentially more standardized workforce oversight in traditional BPO models

03Field reports

Review platform signal (G2 / Capterra / etc.)

G2: The Directly product page on G2 showed limited review volume in the snapshot used for this research. Low public review volume can indicate limited engagement on that platform or that the product is primarily sold under enterprise contracts and not commonly reviewed.
- Example comment (incentivized): a reviewer characterized the product as a customer support framework.
Capterra: No clear Capterra listing for the product was identified in the gathered sources.

- **G2:** The Directly product page on G2 showed limited review volume in the snapshot used for this research. Low public review volume can indicate limited engagement on that platform or that the product is primarily sold under enterprise contracts and not commonly reviewed. - Example comment (incentivized): a reviewer characterized the product as a customer support framework. - **Capterra:** No clear Capterra listing for the product was identified in the gathered sources.

Community / app-store feedback (proxy for expert experience)

The Directly "Expert" iOS app is poorly rated on the Apple App Store with limited review volume in the region-specific view. Release notes referenced connectivity fixes, suggesting reliability or connectivity issues have been a user-reported pain point.

Vendor-published testimonials and claims (treated cautiously)

Vendor materials include claims such as reductions in contact center volume, improvements in CSAT, and high resolution rates. These are vendor-published performance claims without detailed public measurement methodologies. Prospective buyers should request baseline definitions, measurement windows, channel mix, resolution definitions, and whether metrics reflect averages, medians, or best-case examples.

Why customers choose Directly (themes from vendor and press)

Requirement to scale support quickly for seasonal peaks without adding permanent agent headcount
Use of experienced product users or enthusiasts for product-specific troubleshooting
Combining automation with human expertise to address long-tail or specialized questions

Why some customers might leave (inferred from model risks and limited public reviews)

Given limited public enterprise buyer reviews in the reviewed sources, churn reasons are inferred from common risks associated with the GigCX model:

Difficulty governing brand voice and consistency across many freelancers
Escalation complexity when experts cannot resolve an issue and internal agents are required
Integration and operational overhead compared with simpler staffing or monolithic CX suites
Concerns about sensitive data access by gig workers unless strong controls are in place

Given limited public enterprise buyer reviews in the reviewed sources, churn reasons are inferred from common risks associated with the GigCX model: - Difficulty governing brand voice and consistency across many freelancers - Escalation complexity when experts cannot resolve an issue and internal agents are required - Integration and operational overhead compared with simpler staffing or monolithic CX suites - Concerns about sensitive data access by gig workers unless strong controls are in place

Movate case study: OnDemand platform modernization

Critical evaluation:

These outcomes are vendor-published and may reflect infrastructure efficiency for the platform owner rather than direct customer-service outcomes experienced by buyers.
The case study signals platform investment and cloud modernization, but prospective buyers should request supporting metrics such as uptime/availability, incident history, RTO/RPO targets, and region-level architecture.

Movate published a case study describing modernization of the OnDemand platform after it joined their portfolio. The case study includes vendor-reported outcomes such as reduced operating costs and improved deployment automation. **Critical evaluation:** - These outcomes are vendor-published and may reflect infrastructure efficiency for the platform owner rather than direct customer-service outcomes experienced by buyers. - The case study signals platform investment and cloud modernization, but prospective buyers should request supporting metrics such as uptime/availability, incident history, RTO/RPO targets, and region-level architecture.

Older vendor example (press release)

An older vendor press release describes an early customer using the service and reporting fast response times.

Critical evaluation:

Vendor press releases are promotional in nature and metrics are not independently validated. The example is useful for historical context on the operating model (certified experts, routing, and access to screened account tools), but should not be treated as independently verified performance evidence.

04Best fit

Company sizes

Likely best fit: mid-market and enterprise organizations (hundreds to thousands+ employees) with significant support volume and frequent demand spikes.

Industries/verticals

Likely fits: technology, consumer electronics, software, marketplaces/platform businesses, and other product-driven sectors where experienced users can provide technically accurate support.

Roles and personas

Decision makers: VP/Head of Customer Support, VP of CX, Contact Center Operations leaders, Digital/Automation leaders
Influencers: security and compliance owners, IT integration leads, knowledge management leaders
End users: customers receiving support, the on-demand expert network, QA reviewers, internal escalation agents

Pain points addressed

High wait times and backlog during demand spikes
Elevated cost per contact in traditional staffing models
Chatbot inaccuracies on long-tail issues
Limited hiring and training throughput during surges

Qualification criteria (good fit)

The organization can define "resolved" clearly and align incentives accordingly
Sufficient QA and escalation design maturity exists
Capability to restrict expert access to sensitive data and demonstrate compliance controls

05The pitch

What the product does (objective value proposition)

A key aspect of the offering is an outcome-oriented commercial model (vendor-described "pay-for-resolution" approach, rather than per-seat or per-hour billing), plus dynamic routing to experts.

Directly is a customer service solution that combines AI-assisted automation with an on-demand network of vetted freelance experts (often power users of a client’s product) to resolve customer inquiries and reduce contact-center volume. The vendor describes the offering as an intermediary layer in the support stack that operates alongside existing CRMs/helpdesks and traditional BPO/contact center staffing. A key aspect of the offering is an outcome-oriented commercial model (vendor-described "pay-for-resolution" approach, rather than per-seat or per-hour billing), plus dynamic routing to experts.

Target market and market positioning

Target customers: Mid-market to enterprise organizations with significant support volume, seasonal spikes, and/or complex technical product questions.
Positioning: Described by the vendor as "GigCX"—expert-powered support combined with AI automation—presented as an alternative or complement to:
- Traditional contact centers/BPOs
- Standard helpdesk tooling (Zendesk/Salesforce Service Cloud) that still requires internal or outsourced staffing
- Pure AI chatbot approaches that may have difficulty on long-tail issues

- **Target customers:** Mid-market to enterprise organizations with significant support volume, seasonal spikes, and/or complex technical product questions. - **Positioning:** Described by the vendor as "GigCX"—expert-powered support combined with AI automation—presented as an alternative or complement to: - Traditional contact centers/BPOs - Standard helpdesk tooling (Zendesk/Salesforce Service Cloud) that still requires internal or outsourced staffing - Pure AI chatbot approaches that may have difficulty on long-tail issues

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