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Sena shows the barriers households name

Sena Decision AI shows nonprofit and development teams what households need, the barriers they face, and the visible condition of each named program site. Every figure traces to a household answer, a dated site photo, or the team's own program files.

  • 190+ countries
  • 5M+ consumer network
  • 250+ integrations
Live readingsExample international development
Top barrier households name
Distance
Named by 38% of households
Households at risk of leaving
369
Of 2,460 households enrolled
Sites by visible condition
14
Of 52 sites need repair
Program spend at risk
115,128
369 households × 312 each
every figure opens a household answer or a dated site photo
FROM REPORT TO HOUSEHOLD

Households name what keeps them enrolled

Nonprofit data analytics usually reads program outputs and spend against budget. The reasons a program reaches one household and loses another sit with the households themselves.

Output reports count delivery

Program reports count enrollments, sessions, and items delivered. Whether households keep using a service is a separate answer.

Sena:Sena captures the barriers households face, from distance and cost to timing and trust, by segment and market.

Site lists show what was built

Asset registers list each well, clinic, and classroom a program funded. The visible condition of each site today is a separate check.

Sena:Sena captures a geo-verified photo of each named well, clinic, and classroom, and computer vision reads its visible condition, amenities, and signage.

New areas need their own read

A needs assessment for a new area sets the plan before launch. What households need and the services already in use differ area by area.

Sena:Sena captures what households in each candidate area use now, what they need, and what they would pay for, by segment and market.

The decisions

Four decisions development teams make

Sena adds household answers and site photos to nonprofit data analytics for four program decisions.

Decision 01

Fix the barrier that keeps households away

Households state what makes a service hard to reach or keep using, by segment and market, beside the team's own enrollment files.

Decides:Which barrier the next program round targets first.

See strategy decisions →
Decision 02

Repair the sites that need it

Sena captures a dated photo of each program site a question names and shows its visible condition beside the team's asset register.

Decides:Which named sites get repair funds first.

See supply chain decisions →
Decision 03

Price products for household budgets

Households state what they would pay for a solar lamp, water filter, or cookstove, and which payment plan fits, by segment and market.

Decides:Which price and payment plan the program launches with.

See revenue and pricing decisions →
Decision 04

Choose the next area for the program

Households in each candidate area state what they use now and what they need, by segment and market, and photos of each named site show the services already in place.

Decides:Which area the program expands to next, and with which services.

See growth decisions →
HOW A TEAM CHECKS EACH PROGRAM

Household answers and site photos, dated

Nonprofit analytics teams read each figure beside their own program files and open it to the household answer or site photo behind it.

Consented answers from households

People in Sena's consumer network speak for their own households and choose what to share.

Site photos, each tied to a place and date

A photo shows a site's visible condition on the day it was taken. Every capture clears a multi-level QA flow before it counts. Sena declines a capture that misses the check, and the decline stays visible.

RETENTION RISK

Count the households at risk of leaving

In nonprofit data analytics, program retention starts with two counts: the households enrolled and the share at risk of leaving. Both come from the team's program files and case notes, and the team checks the share against the barriers households name by segment and market.

  • The barriers each household segment names, ranked
  • The services households would switch to
  • Spend at risk, from the team's own cost per household
Retention risk calculatorExample figures
StayingAt risk
Households at risk of leaving
369
Program spend at risk
115,128

The retention risk calculator shows the households at risk of leaving and the program spend tied to them.

A walkthrough on one international development program

A walkthrough takes one international development program in one market from household answer to the program decision.

By team

Which development team owns the question?

Pick the closest fit, and the walkthrough starts from that team's question.

How it works

How Sena answers a market question

Step 01 · Capture

Capture

Sena captures geo-verified photos and consumer activity in the markets a question names, when the question needs it.

Step 02 · Read

Read

Sena reads those captures beside the files and systems already in use, across 250+ integrations.

Step 03 · Compare

Compare

Sena compares the market against the plan and shows each gap, with every figure traced to its source.

PROGRAM FILES AND HOUSEHOLD ANSWERS

What households add to nonprofit data analytics

AreaCommon methodSena
ReachEnrollment and output countsThe barriers households name for staying or leaving
SitesAsset registers and partner reportsDated photos of each named site's visible condition
NeedsA community needs assessment before launchWhat households in each candidate area use and need
PricingCost-recovery targetsWhat households would pay and which payment plan fits
Grant reportingIndicators compiled for each grant and impact evaluationHousehold answers and site photos beside each indicator

One program, one market, one decision

Talk to the Rwazi team about one program, one market, and the decision on the table this quarter.

FAQ

Questions development teams ask

01 What is nonprofit data analytics?
Nonprofit data analytics is the practice of reading program, finance, and community data to decide where to work, what to deliver, and how to fund it. Sena, a Decision AI with access to real-world data, brings decision intelligence to nonprofit and development teams by adding consented household answers and geo-verified site photos to the team's own files, so each figure traces to the answer or photo behind it.
02 What does data analytics for nonprofits cover?
Data analytics for nonprofits covers program reach, cost per household, and fundraising. Sena adds the barriers households face, by segment and market, and the visible condition of each named site, read beside the team's own program and finance files, so field teams fix the barrier households name first.
03 How does program evaluation use household answers?
Program evaluation uses household answers as context for the team's own indicators: the barriers people name and the services they use, by segment and market. Sena sets those answers beside each indicator, so every figure traces to the household answer behind it.
04 What is a community needs assessment?
A community needs assessment sets out what people in an area need, what they use now, and the gap between the two. Sena captures those answers from households in each candidate area, by segment and market, so program design starts from the needs households name.
05 Where does Sena fit in nonprofit impact measurement?
Sena fits beside the team's own indicators in nonprofit impact measurement, adding household answers on barriers and use, and dated photos of each named site. Impact evaluation teams read those answers beside their own study design and baseline data, before the next funding round.
06 How does community feedback reach program decisions?
Community feedback shapes program decisions once it is sorted by segment and tied to a named site or service. Sena adds household answers by segment and market to the team's nonprofit data analytics, so each program change rests on what households in that segment said.
07 Which systems does Sena connect to for development teams?
Sena connects to the systems nonprofit and development teams already run across 250+ integrations, including Salesforce, HubSpot, and Microsoft Dynamics, and reads uploaded Excel, CSV, and PDF files. Household answers and site photos join that data, so nonprofit analytics reads the team's program files beside each household segment.