Presentation by Sarah Mendelsohn (The Water Trust) at the 2015 World Water Week session, "Collaborative water monitoring through open data and mobile technology."
http://programme.worldwaterweek.org/event/5039
Observability Concepts EVERY Developer Should Know (DevOpsDays Seattle)
Turning data into action
1. Collaborative water monitoring through open data and mobile
technology
Turning data into action
Sarah Mendelsohn
The Water Trust
Executive Director
smendelsohn@watertrust.org
watertrust.org
2. Process Overview
Historical
data
• Evaluate
• Clean
• Enter into
platform
Indicators
• Identify
• Define
Surveys
• Household
• Water point
• Water
quality
Training
• Field team
• Manuals
watertrust.org
3. Key Performance Indicators
Indicator Definition Level
Quality
Water quality and
sanitary inspection.
Water point
Quantity
Quantity of water for
daily needs.
Household
Access
Use of improved source
and time spent fetching.
Household
Reliability
Frequency and length of
time of outage(s).
Household
Functionality
Functionality of water
point.
Water point
Latrine Use and type of latrine. Household
Hand Wash
Use and type of hand
washing facility.
Household
Safe Water
Chain
Use of safe water chain. Household
Management
Sustainability
Record keeping and fee
collection.
Water point
Financial
Sustainability
Availability of funds for
repairs and maintenance.
Water point
User
Satisfaction
User satisfaction of
program.
Household
Water
Sanitation
and Hygiene
Management
and
Satisfaction
watertrust.org
7. Acting on Data
watertrust.org
Monitoring and follow up visits are automatically populated in the scheduling tool 6 months
following installation. Monitoring visits include:
• Annual visit
• 6 month follow up for inadequate water quality
• 3 month follow up for inadequate functionality
12. We collect data using 3 surveys: household, water point and water quality.
watertrust.org
13. Currently, we have 4 queries:
• TWT v. mWater Code
• Most recent KPI performance
for all villages
• All KPIs for all villages (all
visits)
• Most recent KPI performance
for one village
watertrust.org
14. In villages with lower e. coli (higher water quality), households collect fees. 3 villages
are an exception to that rule.
watertrust.org
15. In these 3 villages:
• We have household data on 2 of
the 3 villages
• In those 2 villages, households
have more pit latrines and less
improved latrines than all
households
watertrust.org
16. Our monitoring and evaluation program has 4 stages:
• Collect data
• Analyze data
• Disseminate data
• Act on data
watertrust.org