What is Nexa?

Why Nexa Matters

Digital products now span streaming services, apps, websites, and consumer-facing AI agents, generating billions of events per day. The volume of data needed to understand quality of experience (QoE) far outpaces the capacity of traditional analytics workflows. Teams wait hours or days for analyst-curated reports, by which time the insight has lost its operational value. Nexa puts analytical capability in the hands of the person who needs the answer, at the moment they need it, and automates the recurring analysis that previously consumed analyst time every week.

How does Nexa remove the analytics bottleneck?

In most organizations, access to behavioral and performance data is mediated by a small team of analysts who translate business questions into queries, run reports, and communicate results. This creates a structural delay between when a problem is detected and when it is investigated. Nexa removes that intermediary step: a product manager, operations engineer, support lead, or AdOps analyst can ask Nexa directly and receive an answer drawn from the same underlying data instantly, without a ticket queue.

Why do static dashboards fail to keep up with dynamic digital experiences?

Pre-built dashboards answer the questions their designers anticipated. But when new features ship daily, live events drive sudden concurrency spikes, and user behavior shifts in response to real-world moments, the most important questions are often the ones no one built a dashboard for. Nexa answers novel questions from live data, and when a question turns out to be worth watching, it can build the dashboard for it.

How does Nexa enable faster incident response?

When an anomaly surfaces — a spike in video start failures during a live match, a rise in rebuffering on one CDN, a drop in checkout conversions on mobile web — the difference between a 10-minute resolution and a 2-hour investigation often comes down to how quickly the right person can get the right data. Nexa lets operations and support teams ask diagnostic questions in natural language and immediately retrieve AI Alert summaries, dimensional breakdowns, and viewer- or user-level timelines that would otherwise require navigating multiple dashboard views.

Why does automation matter as much as conversation?

Many of the most valuable analyses are the same every day: a pre-match quality check, a post-event executive summary, a weekly performance review. Running them by hand ties up analysts and introduces delay. Nexa turns any analysis into a saved, repeatable workflow that runs on a schedule and delivers the result automatically so the insight arrives before anyone has to ask.

Core Capabilities

Natural Language Analysis

Nexa's foundation is its ability to turn plain-language questions — in English or any other language — into precise analysis against Conviva's telemetry. Users can ask about metrics, time periods, segments, devices, geographies, content, or specific identifiers without knowing the underlying data schema. Nexa resolves business terms to the right metrics and filter values, plans the analysis, and supports multi-turn follow-ups so an investigation can be narrowed, broadened, or compared against another time period within a single session.

Report Generation

When a question needs more than a chat response, Nexa produces a full analytical report with KPI summaries, tables, charts, breakdowns, and written findings. Reports can be revised conversationally ("add a country-level breakdown," "translate the summary into Arabic") and every revision is saved as a new version, so teams can go back to an earlier one and edit from there.

Dashboard Generation

Nexa builds interactive dashboards from a plain-language request. A user can describe what they want to monitor, like, "a dashboard of video start failures and rebuffering by CDN and device for this weekend's matches," and Nexa assembles the widgets, metrics, and filters, each querying live data. Dashboards can be refined in the same conversation, and every change is saved as a new version. A "Try Nexa" entry point is embedded in SEI and AEI dashboards, so users can move fluidly between visual exploration and conversational investigation.

Saved and Scheduled Analyses

Any analysis can be saved as a reusable template and kept private, shared with the team, or selected from Conviva-recommended templates. Saved analyses can run on a schedule, generate a fresh report on each run, and email it to a list of subscribers. This turns recurring operational and executive reporting into a workflow that runs without human initiation after initial setup.

Streaming Experience Diagnostics (SEI)

For streaming, Nexa answers QoE questions across video start failures, playback failures, rebuffering, startup time, bitrate, and concurrency, broken down by CDN, device, platform, geography, content, or live versus on-demand. It also covers ad experience, including ad impressions, ad errors, and ad rebuffering. It surfaces AI Alerts and their root cause dimensions, explains Streaming Performance Index (SPI) results against benchmarks, highlights the improvement opportunities with the largest impact, and supports Viewer ID–level investigation to reconstruct a single viewer's sessions and failures.

Digital Experience Diagnostics (AEI)

For web and mobile apps, Nexa analyzes app crashes, web errors, network and API request failures, page and screen load times, engagement, and customer-defined metrics. It measures critical user journeys such as login or checkout through flow completion and success rates, surfaces AI Alerts, identifies where users drop out of a journey, and retrieves user-level session timelines that show the sequence of events — errors, slow requests, screen views, crashes — leading up to an outcome.

Sharing and Collaboration

A Nexa session can be shared through a link, along with the reports and dashboards it produced. Recipients see the analysis as it stood when it was shared, including the conversation that produced it, and can copy it into their own sessions to continue the investigation. Nexa also suggests relevant follow-up actions after each answer, such as a breakdown by a specific dimension or a comparison with the previous period.

Transparent Reasoning

For complex questions that require multi-step analysis, Nexa shows its progress as it works, including which data it is retrieving and which step it is on, so users understand what the answer is based on. Nexa can also generate links into the matching Pulse Trends, alert, or flow view — carrying over the same filters — for verification and deeper investigation.

How Nexa Works in Practice

Nexa operates as an agentic layer on top of Conviva's real-time telemetry and analytical engine. When a user submits a request, Nexa interprets the intent, plans the analysis, executes the necessary queries across AEI and SEI, and returns the result in the most useful form — an inline answer, a report, or a dashboard.

During the 2026 FIFA World Cup Conviva supported more than 20 streaming providers recording 56 million peak concurrent plays. Three Nexa deployments from the tournament show what this looks like in production:

• ‍Root Cause Before the Next Match: A broadcaster in Asia Pacific used Nexa to triage a match where concurrency ran above estimate. Nexa surfaced the specific pattern behind the degradation and returned recommendations the team could act on before the next game started — a workflow that would have taken a human analyst hours to complete.
• ‍Automating the Executive Report: A major Middle East streaming provider built a full QoE report in Nexa — with country-level and platform-level breakdowns, in bilingual output — in the time it would previously have taken to set up the query. The engineering team received it automatically before each match.
• ‍Removing the Analyst From the Loop: A European broadcaster configured Nexa to fetch the match schedule, generate a match-by-match QoE digest, and email it to stakeholders daily — with no human initiation required after initial setup.

Because the interaction is conversational, teams can iterate quickly — narrowing to a segment, expanding the time window, or turning the finding into a dashboard — without re-navigating the platform for each new question. This makes Nexa particularly effective during live events and incidents, where the question evolves as new information surfaces.

Key Benefits

Democratized Analytics Access

By removing the technical barrier to querying Conviva data, Nexa extends analytical capability to every team — operations, product, marketing, support, advertising, and executives — not just those with SQL or BI expertise.

Faster Time-to-Insight

The time between a question and an answer drops from hours (analyst workflow) or minutes (manual dashboard navigation) to seconds. During a live event, a five-minute head start on a quality degradation can keep it from reaching viewers at scale.

Reduced Mean Time to Resolution (MTTR)

Nexa's dimensional breakdowns, AI Alert summaries, and viewer- and user-level diagnostics reduce the number of steps required per incident, directly compressing MTTR.

Automated Recurring Reporting

Scheduled analyses replace manually assembled daily, pre-event, and executive reports, freeing analysts for higher-judgment work.

Compounding Value

New data sources and analytical capabilities added to the Conviva platform become available through Nexa without requiring users to learn new workflows, so the value of natural language access grows over time.

Nexa vs. Traditional BI Dashboards

Nexa and traditional BI dashboards (such as those built in Tableau, Looker, or Power BI) serve related but fundamentally different purposes. Dashboards excel at structured, visual overviews of pre-defined KPIs for regular reporting. Nexa excels at answering novel, contextual questions in real time — and at producing the reports and dashboards themselves on demand.

Challenges and Considerations

What data quality requirements does Nexa depend on?

Nexa's answers are only as good as the telemetry flowing into the Conviva platform. Gaps in instrumentation — missing events, inconsistent identifier schemas, delayed ingestion — produce incomplete or misleading answers. Organizations should ensure their AEI and SEI implementations have comprehensive, consistent tagging before relying on Nexa for critical operational decisions.

How well does Nexa handle ambiguous or poorly formed questions?

Like all large language model–based systems, Nexa performs best with specific, well-scoped questions. Vague prompts ("What's happening with our app?") may produce broad responses. Specificity around time windows, metrics, segments, and events leads to more useful answers, and Nexa's suggested follow-ups help users refine a broad question quickly.

How do teams verify that Nexa's answers are accurate?

Nexa is designed to produce verifiable results: it shows the steps it took, and it can generate Pulse links that open the same analysis in the underlying Conviva views. Cross-referencing Nexa results against dashboard data during initial adoption builds team confidence and surfaces edge cases where interpretation can be improved.

What privacy and data governance considerations apply?

Nexa supports viewer- and user-level queries and shareable links, which means it can surface data about individual sessions and identifiers. Organizations should ensure their Conviva data governance policies — including role-based access, data retention, and sharing practices — are configured appropriately before exposing individual-level diagnostics broadly, particularly in regions subject to GDPR or CCPA.

How do Nexa insights translate into cross-functional action?

Nexa excels at surfacing insights, but acting on them still requires organizational alignment. The most effective deployments pair Nexa with clear workflows for turning findings into tickets, product decisions, or engineering escalations — and use scheduled reports to put the right findings in front of the right owners automatically.